Test Case Prioritization Using Partial Attention


Test Case Recommendations with Distributed Representation of Code Syntactic Features


Test Case Selection and Prioritization Using Machine Learning: A Systematic Literature Review


Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks


Test Coverage for Network Configurations


Test Generation Strategies for Building Failure Models and Explaining Spurious Failures


Test Input Validation for Vision-based DL Systems: An Active Learning Approach


Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning


Test Sample Accuracy Scales with Training Sample Density in Neural Networks


Test Score Algorithms for Budgeted Stochastic Utility Maximization


Test Time Embedding Normalization for Popularity Bias Mitigation


Test Time Training for 4D Medical Image Interpolation


Test Time Transform Prediction for Open Set Histopathological Image Recognition


Test allocation based on risk of infection from first and second order contact tracing


Test case prioritization using test case diversification and fault-proneness estimations


Test cases as a measurement instrument in experimentation


Test of Time: Instilling Video-Language Models with a Sense of Time


Test them all, is it worth it? Assessing configuration sampling on the JHipster Web development stack


Test-Time Adaptation for Depth Completion


Test-Time Adaptation for Keypoint-Based Spacecraft Pose Estimation Based on Predicted-View Synthesis


Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation


Test-Time Adaptation via Conjugate Pseudo-labels


Test-Time Adaptation via Self-Training with Nearest Neighbor Information


Test-Time Adaptation with Binary Feedback


Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models


Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation


Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification


Test-Time Backdoor Attacks on Multimodal Large Language Models


Test-Time Canonicalization by Foundation Models for Robust Perception


Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation


Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models


Test-Time Model Adaptation with Only Forward Passes


Test-Time Personalization with Meta Prompt for Gaze Estimation


Test-Time Poisoning Attacks Against Test-Time Adaptation Models


Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback


Test-Time Robust Personalization for Federated Learning


Test-Time Scaling of Diffusion Models via Noise Trajectory Search


Test-Time Selection for Robust Skin Lesion Analysis


Test-Time Self-Adaptive Small Language Models for Question Answering


Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing


Test-Time Training for Semantic Segmentation with Output Contrastive Loss


Test-Time Training on Nearest Neighbors for Large Language Models


Test-Time Zero-Shot Temporal Action Localization


Test-time Adaptation for Regression by Subspace Alignment


Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift


Test-time Adaptation with Slot-Centric Models


Test-time Alignment of Diffusion Models without Reward Over-optimization


Test-time Alignment-Enhanced Adapter for Vision-Language Models


Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport


Test-time Augmentation for Factual Probing


Test-time Computing: from System-1 Thinking to System-2 Thinking


Test-time Fourier Style Calibration for Domain Generalization


Test-time Recalibration of Conformal Predictors Under Distribution Shift Based on Unlabeled Examples


Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift


Test3R: Learning to Reconstruct 3D at Test Time


TestAug: A Framework for Augmenting Capability-based NLP Tests


TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency


TestSpark: IntelliJ IDEA's Ultimate Test Generation Companion


Testability Refactoring in Pull Requests: Patterns and Trends


Testability-Aware Low Power Controller Design with Evolutionary Learning


Testing Against Independence and a Rényi Information Measure


Testing CP properties of the Higgs boson coupling to $τ$ leptons with heterogeneous graphs


Testing Causal Models of Word Meaning in GPT-3 and -4


Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies


Testing Compilers for Programmable Switches Through Switch Hardware Simulation


Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning


Testing Feedforward Neural Networks Training Programs


Testing Forecast Rationality for Measures of Central Tendency


Testing Gaussian Process with Applications to Super-Resolution


Testing Goodness of Fit of Conditional Density Models with Kernels


Testing Gravity on Cosmic Scales: A Case Study of Jordan-Brans-Dicke Theory


Testing Homological Equivalence Using Betti Numbers


Testing Human Ability To Detect Deepfake Images of Human Faces


Testing Hypotheses of Covariate Effects on Topics of Discourse


Testing Implementation of FAMTAR: Adaptive Multipath Routing


Testing Independence under Biased Sampling


Testing Kubo formula on a nonlinear quantum conductor driven far from equilibrium via power exchanges


Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics


Testing Models of 'Gravity' Using a Quantum Computer


Testing Modules for Experiments in Stellar Astrophysics (MESA)


Testing Neural Network Verifiers: A Soundness Benchmark with Hidden Counterexamples


Testing New Physics Explanations of MiniBooNE Anomaly at Neutrino Scattering Experiments


Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis


Testing Quadratic Maximum Likelihood estimators for forthcoming Stage-IV weak lensing surveys


Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models


Testing Relative Fairness in Human Decisions With Machine Learning


Testing Robustness Against Unforeseen Adversaries


Testing Scalable Bell Inequalities for Quantum Graph States on IBM Quantum Devices


Testing Screening Mechanisms with Mass Profiles of Galaxy Clusters


Testing Serial Independence of Object-Valued Time Series


Testing Stationarity and Change Point Detection in Reinforcement Learning


Testing Symmetry for Bivariate Copulas using Bernstein Polynomials


Testing The Lamp-Post and Wind Reverberation Models with XMM-Newton Observations of NGC 5506


Testing a New Model of Embedded Protostellar Disks Against Observation: The Majority of Orion Class 0/I Disks Are Likely Warm, Massive, and Gravitationally Unstable


Testing asteroseismology with Gaia DR2: Hierarchical models of the Red Clump


Testing conditional independence under isotonicity


Testing f(R) gravity models with quasar X-ray and UV fluxes


Testing for Association in Multi-View Network Data


Testing for Fault Diversity in Reinforcement Learning


Testing for Geometric Invariance and Equivariance


Testing for Network and Spatial Autocorrelation


Testing for Outliers with Conformal p-values


Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial


Testing for high frequency features in a noisy signal


Testing for no effect in regression problems: a permutation approach


Testing for patterns and structures in covariance and correlation matrices


Testing for spectral index variations in polarised CMB foregrounds


Testing geometric representation hypotheses from simulated place cell recordings


Testing in the Evolving World of DL Systems:Insights from Python GitHub Projects


Testing independence and conditional independence in high dimensions via coordinatewise Gaussianization


Testing isomorphism between tuples of subspaces


Testing massive star evolution, star-formation history, and feedback at low metallicity: Photometric analysis of OB stars in the SMC Wing


Testing network clustering algorithms with Natural Language Processing


Testing of Deep Reinforcement Learning Agents with Surrogate Models


Testing predictions of representation cost theory with CNNs


Testing procedures based on maximum likelihood estimation for Marked Hawkes processes


Testing protoplanetary disc evolution with CO fluxes. A proof of concept in Lupus and Upper Sco


Testing screened modified gravity with SDSS-IV-MaNGA


Testing separability and independence of perceptual dimensions with general recognition theory: A tutorial and new R package (grtools)


Testing side-channel security of cryptographic implementations against future microarchitectures


Testing the Channels of Convolutional Neural Networks


Testing the Consistency of Performance Scores Reported for Binary Classification Problems


Testing the Cosmic Shear Spatially-Flat Universe Approximation with Generalized Lensing and Shear Spectra


Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection


Testing the Impact of Satellite Anisotropy on Large and Small Scale Intrinsic Alignments using Hydrodynamical Simulations


Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity


Testing the Limits of Jailbreaking Defenses with the Purple Problem


Testing the Number of Components in Finite Mixture Normal Regression Model with Panel Data


Testing the Quasar Hubble Diagram with LISA Standard Sirens


Testing the Robustness of Learned Index Structures


Testing the disk-corona interplay in radiatively-efficient broad-line AGN


Testing the limits of natural language models for predicting human language judgments


Testing the simplifying assumption in high-dimensional vine copulas


Testing theories of accretion and gravity with super-extremal Kerr discs


Testing topological conjugacy of time series


Tests for model misspecification in simulation-based inference: from local distortions to global model checks


Tests for ultrahigh-dimensional partially linear regression models


Tests of thermal macroeconomic theory on simulated micro-economies


Tests4Py: A Benchmark for System Testing


TetWeave: Isosurface Extraction using On-The-Fly Delaunay Tetrahedral Grids for Gradient-Based Mesh Optimization


Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra


Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference


TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation


TetraLoss: Improving the Robustness of Face Recognition against Morphing Attacks


TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis


TetraTSDF: 3D human reconstruction from a single image with a tetrahedral outer shell


Tetris-inspired detector with neural network for radiation mapping


Tetrisation of triangular meshes and its application in shape blending


Tex2Shape: Detailed Full Human Body Geometry From a Single Image


Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models


TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting


TexHOI: Reconstructing Textures of 3D Unknown Objects in Monocular Hand-Object Interaction Scenes


TexLiDAR: Automated Text Understanding for Panoramic LiDAR Data


TexLiverNet: Leveraging Medical Knowledge and Spatial-Frequency Perception for Enhanced Liver Tumor Segmentation


TexPainter: Generative Mesh Texturing with Multi-view Consistency


TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation


TexRel: a Green Family of Datasets for Emergent Communications on Relations


TexSenseGAN: A User-Guided System for Optimizing Texture-Related Vibrotactile Feedback Using Generative Adversarial Network


TexShape: Information Theoretic Sentence Embedding for Language Models


TexTailor: Customized Text-aligned Texturing via Effective Resampling


TexTile: A Differentiable Metric for Texture Tileability


Texel-Att: Representing and Classifying Element-based Textures by Attributes


Text + Sketch: Image Compression at Ultra Low Rates


Text Annotation Graphs: Annotating Complex Natural Language Phenomena


Text Augmentation for Language Models in High Error Recognition Scenario


Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification


Text Chunking for Document Classification for Urban System Management using Large Language Models


Text Classification Algorithms: A Survey


Text Classification Models for Form Entity Linking


Text Classification Using Label Names Only: A Language Model Self-Training Approach


Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset


Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation


Text Classification via Large Language Models


Text Clustering as Classification with LLMs


Text Conditioned Symbolic Drumbeat Generation using Latent Diffusion Models


Text Counterfactuals via Latent Optimization and Shapley-Guided Search


Text Detoxification as Style Transfer in English and Hindi


Text Detoxification using Large Pre-trained Neural Models


Text Embedding Inversion Security for Multilingual Language Models


Text Generation by Learning from Demonstrations


Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification


Text Guide: Improving the quality of long text classification by a text selection method based on feature importance


Text Image Inpainting via Global Structure-Guided Diffusion Models


Text Indexing for Long Patterns using Locally Consistent Anchors


Text Length Adaptation in Sentiment Classification


Text Matching Improves Sequential Recommendation by Reducing Popularity Biases


Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models


Text Prior Guided Scene Text Image Super-resolution


Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems


Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval


Text Ranking and Classification using Data Compression


Text Representation Distillation via Information Bottleneck Principle


Text Retrieval with Multi-Stage Re-Ranking Models


Text Revision by On-the-Fly Representation Optimization


Text Simplification for Comprehension-based Question-Answering


Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks


Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models


Text Summarization with Oracle Expectation


Text and Click inputs for unambiguous open vocabulary instance segmentation


Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP


Text and Image Guided 3D Avatar Generation and Manipulation


Text and Style Conditioned GAN for Generation of Offline Handwriting Lines


Text as Images: Can Multimodal Large Language Models Follow Printed Instructions in Pixels?


Text as Neural Operator: Image Manipulation by Text Instruction


Text classification dataset and analysis for Uzbek language


Text classification with word embedding regularization and soft similarity measure


Text encoders bottleneck compositionality in contrastive vision-language models


Text in the Dark: Extremely Low-Light Text Image Enhancement


Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding


Text mining and sentiment analysis of COVID-19 tweets


Text normalization for low-resource languages: the case of Ligurian


Text normalization using memory augmented neural networks


Text to Band Gap: Pre-trained Language Models as Encoders for Semiconductor Band Gap Prediction


Text to Image Generation with Semantic-Spatial Aware GAN


Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models


Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models


Text-Aware End-to-end Mispronunciation Detection and Diagnosis


Text-Aware Single Image Specular Highlight Removal


Text-Based Detection of On-Hold Scripts in Contact Center Calls


Text-Based Person Search with Limited Data


Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement


Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation


Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model


Text-Driven Foley Sound Generation With Latent Diffusion Model


Text-Driven Image Editing via Learnable Regions


Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing


Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method


Text-Enhanced Data-free Approach for Federated Class-Incremental Learning


Text-Free Learning of a Natural Language Interface for Pretrained Face Generators


Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models


Text-Guided Mixup Towards Long-Tailed Image Categorization


Text-Guided Molecule Generation with Diffusion Language Model


Text-Guided Synthesis of Eulerian Cinemagraphs


Text-Guided Texturing by Synchronized Multi-View Diffusion


Text-IF: Leveraging Semantic Text Guidance for Degradation-Aware and Interactive Image Fusion


Text-Region Matching for Multi-Label Image Recognition with Missing Labels


Text-Transport: Toward Learning Causal Effects of Natural Language


Text-Video Retrieval with Global-Local Semantic Consistent Learning


Text-Visual Prompting for Efficient 2D Temporal Video Grounding


Text-Visual Semantic Constrained AI-Generated Image Quality Assessment


Text-aware Speech Separation for Multi-talker Keyword Spotting


Text-based Animatable 3D Avatars with Morphable Model Alignment


Text-based Person Search in Full Images via Semantic-Driven Proposal Generation


Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines


Text-based depression detection on sparse data


Text-driven Adaptation of Foundation Models for Few-shot Surgical Workflow Analysis


Text-driven object affordance for guiding grasp-type recognition in multimodal robot teaching


Text-guided Foundation Model Adaptation for Pathological Image Classification


Text-guided Image Restoration and Semantic Enhancement for Text-to-Image Person Retrieval


Text-guided Legal Knowledge Graph Reasoning


Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding


Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities


Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights


Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilities


Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning


Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach


Text-to-Image Rectified Flow as Plug-and-Play Priors


Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language


Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation


Text-to-SQL Error Correction with Language Models of Code


Text-to-SQL Generation for Question Answering on Electronic Medical Records


Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data


Text-to-Table: A New Way of Information Extraction


Text-to-Video: a Two-stage Framework for Zero-shot Identity-agnostic Talking-head Generation


Text-to-hashtag Generation using Seq2seq Learning


Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Framework


Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts


Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback


Text2Chart: A Multi-Staged Chart Generator from Natural Language Text


Text2Cohort: Facilitating Intuitive Access to Biomedical Data with Natural Language Cohort Discovery


Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction


Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents


Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction


Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction


Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text


Text2LIVE: Text-Driven Layered Image and Video Editing


Text2Light: Zero-Shot Text-Driven HDR Panorama Generation


Text2Mesh: Text-Driven Neural Stylization for Meshes


Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction


Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields


Text2PDE: Latent Diffusion Models for Accessible Physics Simulation


Text2Performer: Text-Driven Human Video Generation


Text2Playlist: Generating Personalized Playlists from Text on Deezer


Text2Poster: Laying out Stylized Texts on Retrieved Images


Text2QR: Harmonizing Aesthetic Customization and Scanning Robustness for Text-Guided QR Code Generation


Text2Reward: Reward Shaping with Language Models for Reinforcement Learning


Text2Robot: Evolutionary Robot Design from Text Descriptions


Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models


Text2SQL is Not Enough: Unifying AI and Databases with TAG


Text2Scene: Generating Compositional Scenes from Textual Descriptions


Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models


Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories


Text3DAug -- Prompted Instance Augmentation for LiDAR Perception


Text4Seg: Reimagining Image Segmentation as Text Generation


TextAtari: 100K Frames Game Playing with Language Agents


TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation


TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder


TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration


TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing


TextCAVs: Debugging vision models using text


TextClass Benchmark: A Continuous Elo Rating of LLMs in Social Sciences


TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding


TextCrafter: Accurately Rendering Multiple Texts in Complex Visual Scenes


TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control


TextDecepter: Hard Label Black Box Attack on Text Classifiers


TextDeformer: Geometry Manipulation using Text Guidance


TextDescriptives: A Python package for calculating a large variety of metrics from text


TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution


TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction


TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora


TextField: Learning A Deep Direction Field for Irregular Scene Text Detection


TextFusion: Unveiling the Power of Textual Semantics for Controllable Image Fusion


TextGames: Learning to Self-Play Text-Based Puzzle Games via Language Model Reasoning


TextGrad: Automatic "Differentiation" via Text


TextGuard: Provable Defense against Backdoor Attacks on Text Classification


TextHide: Tackling Data Privacy in Language Understanding Tasks


TextInPlace: Indoor Visual Place Recognition in Repetitive Structures with Scene Text Spotting and Verification


TextLap: Customizing Language Models for Text-to-Layout Planning


TextMachina: Seamless Generation of Machine-Generated Text Datasets


TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection


TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning


TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models


TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition


TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces


TextToucher: Fine-Grained Text-to-Touch Generation


TextileNet: A Material Taxonomy-based Fashion Textile Dataset


Textless Dependency Parsing by Labeled Sequence Prediction


Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech Translation


Textoshop: Interactions Inspired by Drawing Software to Facilitate Text Editing


TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models


Texts as Images in Prompt Tuning for Multi-Label Image Recognition


Texts or Images? A Fine-grained Analysis on the Effectiveness of Input Representations and Models for Table Question Answering


Textual Aesthetics in Large Language Models


Textual Description for Mathematical Equations


Textual Enhanced Contrastive Learning for Solving Math Word Problems


Textual Entailment for Effective Triple Validation in Object Prediction


Textual Entailment with Structured Attentions and Composition


Textual Explanations for Automated Commentary Driving


Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery


Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation


Textual Manifold-based Defense Against Natural Language Adversarial Examples


Textual Query-Driven Mask Transformer for Domain Generalized Segmentation


Textual Relationship Modeling for Cross-Modal Information Retrieval


Textual Supervision for Visually Grounded Spoken Language Understanding


Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection


Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcome


Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment


Textually Pretrained Speech Language Models


Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment


Texture Generation Using A Graph Generative Adversarial Network And Differentiable Rendering


Texture Interpolation for Probing Visual Perception


Texture Learning Domain Randomization for Domain Generalized Segmentation


Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture


Texture Recognition Using a Biologically Plausible Spiking Phase-Locked Loop Model for Spike Train Frequency Decomposition


Texture Selection for Automatic Music Genre Classification


Texture and Noise Dual Adaptation for Infrared Image Super-Resolution


Texture or Semantics? Vision-Language Models Get Lost in Font Recognition


Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On


Texture-Semantic Collaboration Network for ORSI Salient Object Detection


TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping


TextureSplat: Per-Primitive Texture Mapping for Reflective Gaussian Splatting


Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics


Textured mesh Quality Assessment using Geometry and Color Field Similarity


Textured-GS: Gaussian Splatting with Spatially Defined Color and Opacity


Texygen: A Benchmarking Platform for Text Generation Models


Tezla, an Intermediate Representation for Static Analysis of Michelson Smart Contracts


Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic


Thai Winograd Schemas: A Benchmark for Thai Commonsense Reasoning


ThaiCoref: Thai Coreference Resolution Dataset


Thalamus: A User Simulation Toolkit for Prototyping Multimodal Sensing Studies


Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations


Thank You, Stingray: Multilingual Large Language Models Can Not (Yet) Disambiguate Cross-Lingual Word Sense


Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer


Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks


ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation


Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model Compression


Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model


That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design


That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation


That and There: Judging the Intent of Pointing Actions with Robotic Arms


That is a Known Lie: Detecting Previously Fact-Checked Claims


That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?


That's Optional: A Contemporary Exploration of "that" Omission in English Subordinate Clauses


Thawed Gaussian wave packet dynamics: a critical assessment of three propagation schemes


The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices


The "Huh?" Button: Improving Understanding in Educational Videos with Large Language Models


The "LLM World of Words" English free association norms generated by large language models


The "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities


The "recognition," "belief," and "action" regarding conspiracy theories: An empirical study using large-scale samples from Japan and the United States


The $2T$-qutrit, a two-mode bosonic qutrit


The $I=1$ pion-pion scattering amplitude and timelike pion form factor from $N_{\rm f} = 2+1$ lattice QCD


The $\infty$-S test via regression quantile affine LASSO


The $\nu_{R}$-philic scalar: its loop-induced interactions and Yukawa forces in LIGO observations


The $\theta$-$\theta$ Diagram -- Visualizing the one-dimensional nature of interstellar scattering screens in pulsar scintillation


The $e^+ e^- \rightarrow Z H$ Process in the SMEFT Beyond Leading Order


The $z \gtrsim 9$ galaxy UV luminosity function from the JWST Advanced Deep Extragalactic Survey: insights into early galaxy evolution and reionization


The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation


The (Surprising) Sample Optimality of Greedy Procedures for Large-Scale Ranking and Selection


The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems


The (de)biasing effect of GAN-based augmentation methods on skin lesion images


The 1st Agriculture-Vision Challenge: Methods and Results


The 2-10 keV unabsorbed luminosity function of AGN from the XMM-Newton LSS, CDFS and COSMOS surveys


The 2-point correlation function covariance with fewer mocks


The 2021 Image Similarity Dataset and Challenge


The 2022 Far-field Speaker Verification Challenge: Exploring domain mismatch and semi-supervised learning under the far-field scenario


The 2023 Video Similarity Dataset and Challenge


The 21-cm forest as a simultaneous probe of dark matter and cosmic heating history


The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)


The 3D-HST Survey: Hubble Space Telescope WFC3/G141 grism spectra, redshifts, and emission line measurements for $\sim 100,000$ galaxies


The 3D-PC: a benchmark for visual perspective taking in humans and machines


The 8-parameter Fisher-Bingham distribution on the sphere


The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research


The ACTIONFINDER: An unsupervised deep learning algorithm for calculating actions and the acceleration field from a set of orbit segments


The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task


The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach


The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning


The AI Cosmologist I: An Agentic System for Automated Data Analysis


The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates


The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues


The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data


The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators


The ALF (Algorithms for Lattice Fermions) project release 2.4. Documentation for the auxiliary-field quantum Monte Carlo code


The ALMaQUEST Survey XV: The Dependence of the Molecular-to-Atomic Gas Ratios on Resolved Optical Diagnostics


The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT


The APOGEE Library of Infrared SSP Templates (A-LIST): High-Resolution Simple Stellar Population Spectral Models in the H-Band


The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions


The ART of Conversation: Measuring Phonetic Convergence and Deliberate Imitation in L2-Speech with a Siamese RNN


The ASHRAE Great Energy Predictor III competition: Overview and results


The ASTRID Simulation: Galaxy Formation and Reionization


The Abundance of Belatedly Habitable Planets and Ambiguities in Definitions of the Continuously Habitable Zone


The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models


The Accuracy and Efficiency of Posit Arithmetic


The Adaptive Dynamic Programming Toolbox


The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation


The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA


The Adversarial Implications of Variable-Time Inference


The Aemulus Project IV: Emulating Halo Bias


The Aemulus Project VI: Emulation of beyond-standard galaxy clustering statistics to improve cosmological constraints


The AeroSonicDB (YPAD-0523) Dataset for Acoustic Detection and Classification of Aircraft


The Afterlives of Shakespeare and Company in Online Social Readership


The Age and Erosion Rate of Young Sedimentary Rock on Mars


The Agent Web Model -- Modelling web hacking for reinforcement learning


The AiiDA-KKR plugin and its application to high-throughput impurity embedding into a topological insulator


The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion


The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution


The Aligned Orbit of WASP-148b, the Only Known Hot Jupiter with a Nearby Warm Jupiter Companion, from NEID and HIRES


The All-Pairs Vitality-Maximization (VIMAX) Problem


The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs


The Amplification Paradox in Recommender Systems


The Analysis of Criminal Recidivism: A Hierarchical Model-Based Approach for the Analysis of Zero-Inflated, Spatially Correlated recurrent events Data


The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection


The Analytic Stockwell Transform and its Zeros


The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing


The Anatomy of a Cryptocurrency Pump-and-Dump Scheme


The Animal-AI Environment: A Virtual Laboratory For Comparative Cognition and Artificial Intelligence Research


The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition


The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects


The Ann Arbor Architecture for Agent-Oriented Programming


The Antenna Base Plays a Crucial Role in Mosquito Courtship Behavior


The Apertif Monitor for Bursts Encountered in Real-time (AMBER) auto-tuning optimization with genetic algorithms


The Application of Ridgelines in Extended Radio Source Cross-Identification


The Approximation of the Dissimilarity Projection


The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text


The Archive and Package (arcp) URI scheme


The Archives Unleashed Project: Technology, Process, and Community to Improve Scholarly Access to Web Archives


The Area Under the ROC Curve as a Measure of Clustering Quality


The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants


The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large


The Art of Beating the Odds with Predictor-Guided Random Design Space Exploration


The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation


The Art of Embedding Fusion: Optimizing Hate Speech Detection


The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations


The Art of Measuring Physical Parameters in Galaxies: A Critical Assessment of Spectral Energy Distribution Fitting Techniques


The Art of Misclassification: Too Many Classes, Not Enough Points


The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models


The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts


The Art of the Fugue: Minimizing Interleaving in Collaborative Text Editing


The ArtBench Dataset: Benchmarking Generative Models with Artworks


The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies


The Artificial Mind's Eye: Resisting Adversarials for Convolutional Neural Networks using Internal Projection


The Association of Zn$^{2+}$-SO$_4^{2-}$ and Mg$^{2+}$-SO$_4^{2-}$ in Aqueous MgSO$_4$/ZnSO$_4$ Hybrid Electrolytes: Insights from All-Atom Molecular Dynamics Simulations Molecular Dynamics Simulations


The Astrochemistry Low-energy Electron Cross-Section (ALeCS) database I. Semi-empirical electron-impact ionization cross-section calculations and ionization rates


The Astronomy Commons Platform: A Deployable Cloud-Based Analysis Platform for Astronomy


The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance


The Atacama Cosmology Telescope: Delensed Power Spectra and Parameters


The Atacama Cosmology Telescope: Map-Based Noise Simulations for DR6


The Atacama Cosmology Telescope: Modeling the Gas Thermodynamics in BOSS CMASS galaxies from Kinematic and Thermal Sunyaev-Zel'dovich Measurements


The Atacama Cosmology Telescope: Multi-probe cosmology with unWISE galaxies and ACT DR6 CMB lensing


The Atlas Benchmark: an Automated Evaluation Framework for Human Motion Prediction


The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation


The Audio-Visual BatVision Dataset for Research on Sight and Sound


The Augmentation-Speed Tradeoff for Consistent Network Updates


The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image


The Automated Discovery of Kinetic Rate Models -- Methodological Frameworks


The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements


The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets


The Autoregressive Structural Model for analyzing longitudinal health data of an aging population in China


The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants


The Average Soft X-ray Spectra of eROSITA Active Galactic Nuclei


The Axial Electric Potential and Length of a Torus Knot


The Axion Quality Problem: Global Symmetry Breaking and Wormholes


The BARN Challenge 2023 -- Autonomous Navigation in Highly Constrained Spaces -- Inventec Team


The BAyesian STellar Algorithm (BASTA): a fitting tool for stellar studies, asteroseismology, exoplanets, and Galactic archaeology


The BIAS Detection Framework: Bias Detection in Word Embeddings and Language Models for European Languages


The BP Dependency Function: a Generic Measure of Dependence between Random Variables


The BPgWSP test: a Bayesian Weibull Shape Parameter signal detection test for adverse drug reactions


The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks


The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware


The Bandwagon Effect: Not Just Another Bias


The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks


The BarYon CYCLE Project (ByCycle): Identifying and Localizing MgII Metal Absorbers with Machine Learning


The Batch Artifact Scanning Protocol: A new method using computed tomography (CT) to rapidly create three-dimensional models of objects from large collections en masse


The Bathroom Model: A Realistic Approach to Hash Table Algorithm Optimization


The Batik-plays-Mozart Corpus: Linking Performance to Score to Musicological Annotations


The Battleship Approach to the Low Resource Entity Matching Problem


The BayesWave analysis pipeline in the era of gravitational wave observations


The Bayesian Global Sky Model (B-GSM): A Calibrated Low Frequency Sky Model for EoR Applications


The Bayesian Global Sky Model (B-GSM): Validation of a Data Driven Bayesian Simultaneous Component Separation and Calibration Algorithm for EoR Foreground Modelling


The Bayesian Prophet: A Low-Regret Framework for Online Decision Making


The Bayesian Regularized Quantile Varying Coefficient Model


The Bayesian approach to inverse Robin problems


The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning


The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus?


The Behavior and Convergence of Local Bayesian Optimization


The Behavior of a Three-Term Hofstadter-Like Recurrence with Linear Initial Conditions


The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants


The Benefit of Being Bayesian in Online Conformal Prediction


The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning


The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images


The Benefits of Label-Description Training for Zero-Shot Text Classification


The Benefits of Model-Based Generalization in Reinforcement Learning


The Benefits of Pairwise Discriminators for Adversarial Training


The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents


The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models


The Berkeley Single Cell Computational Microscopy (BSCCM) Dataset


The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features


The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks


The Best Soules Basis for the Estimation of a Spectral Barycentre Network


The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches


The Best of Both Worlds: Integrating Language Models and Diffusion Models for Video Generation


The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection


The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks


The Better Angels of Machine Personality: How Personality Relates to LLM Safety


The Betti numbers of real toric varieties associated to Weyl chambers of types E7 and E8


The Bias Amplification Paradox in Text-to-Image Generation


The Bigger the Better? Accurate Molecular Potential Energy Surfaces from Minimalist Neural Networks


The Binary Linearization Complexity of Pseudo-Boolean Functions


The Biot-Darcy-Brinkman model of flow in deformable double porous media; homogenization and numerical modelling


The Birds Need Attention Too: Analysing usage of Self Attention in identifying bird calls in soundscapes


The Birth of Bias: A case study on the evolution of gender bias in an English language model


The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams


The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be Wrong


The Blessings of Unlabeled Background in Untrimmed Videos


The Block Bootstrap Method for Longitudinal Microbiome Data


The BlueTides Mock Image Catalogue: Simulated observations of high-redshift galaxies and predictions for JWST imaging surveys


The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models


The Boombox: Visual Reconstruction from Acoustic Vibrations


The Boon and Bane of Cross-Signing: Shedding Light on a Common Practice in Public Key Infrastructures


The Boosted DC Algorithm for Clustering with Constraints


The Boosted Difference of Convex Functions Algorithm for Value-at-Risk Constrained Portfolio Optimization


The Born approximation for the fixed energy Calderón problem


The Bouc-Wen Model for Binary Direct Collinear Collisions of Convex Viscoplastic Bodies


The Bouncer Problem: Challenges to Remote Explainability


The Boundary Layer Dispersion and Footprint Model: A fast numerical solver of the Eulerian steady-state advection-diffusion equation


The Boundary for Quantum Advantage in Gaussian Boson Sampling


The Box Size Confidence Bias Harms Your Object Detector


The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation


The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting


The Brain-Inspired Decoder for Natural Visual Image Reconstruction


The Bridge between Xsens Motion-Capture and Robot Operating System (ROS): Enabling Robots with Online 3D Human Motion Tracking


The Broad Optimality of Profile Maximum Likelihood


The BrowserGym Ecosystem for Web Agent Research


The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound


The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance


The C Object System: Using C as a High-Level Object-Oriented Language


The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations


The CARP Mobile Sensing Framework -- A Cross-platform, Reactive, Programming Framework and Runtime Environment for Digital Phenotyping


The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs


The CDAWG Index and Pattern Matching on Grammar-Compressed Strings


The CLEAR Benchmark: Continual LEArning on Real-World Imagery


The COVID-19 Inflation Weighting in Israel


The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation


The CURE To Vulnerabilities in RPKI Validation


The CaFe Project: Optical Fe II and Near-Infrared Ca II triplet emission in active galaxies: (I) Photoionization modelling


The CaLiGraph Ontology as a Challenge for OWL Reasoners


The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture


The Capability of Code Review as a Communication Network


The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting


The Carbon-Deficient Evolution of TRAPPIST-1c


The Cardinality of Identifying Code Sets for Soccer Ball Graph with Application to Remote Sensing


The Cascaded Forward Algorithm for Neural Network Training


The Case and Context for Atmospheric Methane as an Exoplanet Biosignature


The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation


The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG


The Case for DBMS Live Patching [Extended Version]


The Case for Writing Network Drivers in High-Level Programming Languages


The Case for the Anonymization of Offloaded Computation


The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning


The Catenary Robot: Design and Control of a Cable Propelled by Two Quadrotors


The Causal Impact of Credit Lines on Spending Distributions


The Causal Influence of Grammatical Gender on Distributional Semantics


The Causal Information Bottleneck and Optimal Causal Variable Abstractions


The Causal News Corpus: Annotating Causal Relations in Event Sentences from News


The Cell Must Go On: Agar.io for Continual Reinforcement Learning


The Cell Ontology in the age of single-cell omics


The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation


The Challenge of Diacritics in Yoruba Embeddings


The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help


The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling


The Chameleon Attack: Manipulating Content Display in Online Social Media


The Choice of Normalization Influences Shrinkage in Regularized Regression


The Chvátal-Gomory Procedure for Integer SDPs with Applications in Combinatorial Optimization


The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes


The Classification of Graphs on $8$ vertices with Coinciding Zero Forcing number and Maximum Nullity


The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques


The Climatological Renewable Energy Deviation Index (CREDI)


The Clinical Trials Puzzle: How Network Effects Limit Drug Discovery


The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks


The CluMPR Galaxy Cluster-Finding Algorithm and DESI Legacy Survey Galaxy Cluster Catalogue


The Co-Evolution of Stellar Wind-blown Bubbles and Photoionized Gas I: Physical Principles and a Semi-Analytic Model


The Co-Moving Velocity and Projective Transformations


The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time


The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints


The CodRep Machine Learning on Source Code Competition


The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio


The Collatz function as an automorphic Cayley colour graph:decidability of $an+b$ conjectures, proof of the $3n + 1$ conjecture


The Collatz process embeds a base conversion algorithm


The Collection of a Human Robot Collaboration Dataset for Cooperative Assembly in Glovebox Environments


The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps


The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth


The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks


The Common Stability Mechanism behind most Self-Supervised Learning Approaches


The Communication Value of a Quantum Channel


The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: a multi-tracer analysis in Fourier space for measuring the cosmic structure growth and expansion rate


The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: measurement of the BAO and growth rate of structure of the luminous red galaxy sample from the anisotropic power spectrum between redshifts 0.6 and 1.0


The Complexity of Dynamic Least-Squares Regression


The Complexity of Gradient Descent: CLS = PPAD $\cap$ PLS


The Complexity of Manipulation of k-Coalitional Games on Graphs


The Complexity of Subelection Isomorphism Problems


The Complexity of Why-Provenance for Datalog Queries


The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning


The Compressor-Retriever Architecture for Language Model OS


The Computability Path Order for Beta-Eta-Normal Higher-Order Rewriting (Full Version)


The Computation of Generalized Embeddings for Underwater Acoustic Target Recognition using Contrastive Learning


The Computational Advantage of Depth: Learning High-Dimensional Hierarchical Functions with Gradient Descent


The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse


The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysis


The Computational Limits of Deep Learning


The Computational Patient has Diabetes and a COVID


The Concept of Decentralization Through Time and Disciplines: A Quantitative Exploration


The Concept of Semantic Value in Social Network Analysis: an Application to Comparative Mythology


The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain


The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models


The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making


The Conditional Lucas & Kanade Algorithm


The Conditioning Bias in Binary Decision Trees and Random Forests and Its Elimination


The Cone of Silence: Speech Separation by Localization


The Confidence-Competence Gap in Large Language Models: A Cognitive Study


The Connection between Process Complexity of Event Sequences and Models discovered by Process Mining


The Connection between Starspots and Flares on Main-Sequence Kepler Stars


The Consistency of Trust-Sales Relationship in Latin-American E-commerce


The Constant in HATE: Analyzing Toxicity in Reddit across Topics and Languages


The Construction and Evaluation of the LEAFTOP Dataset of Automatically Extracted Nouns in 1480 Languages


The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies


The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language


The Conversational Short-phrase Speaker Diarization (CSSD) Task: Dataset, Evaluation Metric and Baselines


The Convex Landscape of Neural Networks: Characterizing Global Optima and Stationary Points via Lasso Models


The Convolution Exponential and Generalized Sylvester Flows


The Cooperative Network Architecture: Learning Structured Networks as Representation of Sensory Patterns


The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts


The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs


The Core of Approval-Based Committee Elections with Few Seats


The Coronal Analysis of SHocks and Waves (CASHeW) Framework


The Corrective Commit Probability Code Quality Metric


The Cosmic Thermal History Probed by Sunyaev-Zeldovich Effect Tomography


The CosmicWatch Desktop Muon Detector: a self-contained, pocket sized particle detector


The Cosmological Simulation Code OpenGadget3 -- Implementation of Meshless Finite Mass


The Cosmological Trajectories Method: Modelling cosmic structure formation in the non-linear regime


The Cost of Compositionality: A High-Performance Implementation of String Diagram Composition


The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models


The Cost of Garbage Collection for State Machine Replication


The Cost of Local and Global Fairness in Federated Learning


The Cost of OSCORE and EDHOC for Constrained Devices


The Cost of Representation by Subset Repairs


The Cost of Training Machine Learning Models over Distributed Data Sources


The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks


The Coverage Principle: A Framework for Understanding Compositional Generalization


The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems


The Crucial Role of Samplers in Online Direct Preference Optimization


The Curious Case of Absolute Position Embeddings


The Curious Case of Hallucinations in Neural Machine Translation


The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models


The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text


The Curious Layperson: Fine-Grained Image Recognition without Expert Labels


The Currents of Conflict: Decomposing Conflict Trends with Gaussian Processes


The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?


The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation


The Curse of Diversity in Ensemble-Based Exploration


The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions


The Curvature-Augmented Closest Point Method with Vesicle Inextensibility Application


The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task


The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data


The DECam Field of Streams: a deep view of the Milky Way halo


The DESI One-Percent Survey: Evidence for Assembly Bias from Low-Redshift Counts-in-Cylinders Measurements


The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting


The DIDI dataset: Digital Ink Diagram data


The DKU Post-Challenge Audio-Visual Wake Word Spotting System for the 2021 MISP Challenge: Deep Analysis


The DNNLikelihood: enhancing likelihood distribution with Deep Learning


The DTFE public software: The Delaunay Tessellation Field Estimator code


The DUVET Survey: Resolved Maps of Star Formation Driven Outflows in a Compact, Starbursting Disk Galaxy


The Danger Of Arrogance: Welfare Equilibra As A Solution To Stackelberg Self-Play In Non-Coincidental Games


The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations


The Dark (and Bright) Side of IoT: Attacks and Countermeasures for Identifying Smart Home Devices and Services


The Dark Energy Survey 5-year photometrically classified type Ia supernovae without host-galaxy redshifts


The Dark Energy Survey Supernova Program: An updated measurement of the Hubble constant using the Inverse Distance Ladder


The Dark Energy Survey Supernova Program: Slow supernovae show cosmological time dilation out to $z \sim 1$


The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider


The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models


The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models


The Dark Side of Trust: Authority Citation-Driven Jailbreak Attacks on Large Language Models


The Dark Side of Unikernels for Machine Learning


The Dark Side of the Web: Towards Understanding Various Data Sources in Cyber Threat Intelligence


The Data Behind Dark Matter: Exploring Galactic Rotation


The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI


The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity


The Data-Driven Censored Newsvendor Problem


The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions


The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models


The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use


The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation


The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective


The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges


The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind


The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification


The Deep Learning Compiler: A Comprehensive Survey


The Deep Parametric PDE Method: Application to Option Pricing


The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations


The Degree of Fairness in Efficient House Allocation


The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains


The Delta-Method and Influence Function in Medical Statistics: a Reproducible Tutorial


The Densest SWAMP problem: subhypergraphs with arbitrary monotonic partial edge rewards


The Dependence of Bar Frequency on Galaxy Mass, Colour, and Gas Content -- and Angular Resolution -- in the Local Universe


The Dependence of the Hierarchical Distribution of Star Clusters on Galactic Environment


The Design Principle of Blockchain: An Initiative for the SoK of SoKs


The Design Space of Lockfiles Across Package Managers


The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers


The Design and Regulation of Exchanges: A Formal Approach


The Desktop Muon Detector: A simple, physics-motivated machine- and electronics-shop project for university students


The Detectability of Rocky Planet Surface and Atmosphere Composition with JWST: The Case of LHS 3844b


The Developing Human Connectome Project: A Fast Deep Learning-based Pipeline for Neonatal Cortical Surface Reconstruction


The Development of a Wax Layer on the Interior Wall of a Circular Pipe Transporting Heated Oil -- The Effects of Temperature Dependent Wax Conductivity


The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models


The Devil Is in the Details: Window-based Attention for Image Compression


The Devil Is in the Word Alignment Details: On Translation-Based Cross-Lingual Transfer for Token Classification Tasks


The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs


The Devil is in Fine-tuning and Long-tailed Problems:A New Benchmark for Scene Text Detection


The Devil is in Temporal Token: High Quality Video Reasoning Segmentation


The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation


The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation


The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks


The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing


The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning


The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models


The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation


The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration


The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models


The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation


The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution


The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation


The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation


The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models


The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$


The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection


The Diffusion Metrics of African Swine Fever in Wild Boar


The Digital Cybersecurity Expert: How Far Have We Come?


The Digitalization of Bioassays in the Open Research Knowledge Graph


The Director: A Composable Behaviour System with Soft Transitions


The Discrete Gaussian for Differential Privacy


The Disparate Benefits of Deep Ensembles


The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining


The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards


The Doubly Stochastic Single Eigenvalue Problem: A Computational Approach


The Dreaming Variational Autoencoder for Reinforcement Learning Environments


The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes


The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention


The Dual PC Algorithm and the Role of Gaussianity for Structure Learning of Bayesian Networks


The Dutch Draw: Constructing a Universal Baseline for Binary Prediction Models


The DynaSig-ML Python package: automated learning of biomolecular dynamics-function relationships


The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms


The Dynamic of Body and Brain Co-Evolution


The Dynamics of Emotions in Online Interaction


The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Function


The Dynamics of Inducible Genetic Circuits


The Dynamics of Innovation in Open Source Software Ecosystems


The EDGE-CALIFA Survey: An Extragalactic Database for Galaxy Evolution Studies


The EDIBLES Survey. VIII. Band profile alignment of diffuse interstellar bands


The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies


The EM Perspective of Directional Mean Shift Algorithm


The EOS Decision and Length Extrapolation


The ESO SupJup Survey III: Confirmation of 13CO in YSES 1 b and Atmospheric Detection of YSES 1 c with CRIRES+


The EXOD search for faint transients in XMM-Newton observations: Method and discovery of four extragalactic Type I X-ray Bursters


The Early Data Release of the Dark Energy Spectroscopic Instrument


The Early Microbenchmark Catches the Bug -- Studying Performance Issues Using Micro- and Application Benchmarks


The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification


The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression


The Easiest Way of Turning your Relational Database into a Blockchain -- and the Cost of Doing So


The Eclipse Integrated Computational Environment


The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics


The Ecological Footprint of Neural Machine Translation Systems


The Economics and Econometrics of Gene-Environment Interplay


The Economics of Blockchain Governance: Evaluate Liquid Democracy on the Internet Computer


The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models


The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning


The Effect of Context on Metaphor Paraphrase Aptness Judgments


The Effect of Data Poisoning on Counterfactual Explanations


The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task


The Effect of Epidemiological Cohort Creation on the Machine Learning Prediction of Homelessness and Police Interaction Outcomes Using Administrative Health Care Data


The Effect of Extremist Violence on Hateful Speech Online


The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees?


The Effect of Funding on Student Achievement: Evidence from District of Columbia, Virginia, and Maryland


The Effect of Geometry on Survival and Extinction in a Moving-Boundary Problem Motivated by the Fisher-KPP Equation


The Effect of Hydration and Dynamics on the Mass Density of Single Proteins


The Effect of Limited Mobility on the Experienced Segregation of Foreign-born Minorities


The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study


The Effect of Model Size on LLM Post-hoc Explainability via LIME


The Effect of Noise Level on Causal Identification with Additive Noise Models


The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation


The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model


The Effect of People Recommenders on Echo Chambers and Polarization


The Effect of Perceptual Load on Performance within IDE in People with ADHD Symptoms


The Effect of Sampling Temperature on Problem Solving in Large Language Models


The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models


The Effect of Security Education and Expertise on Security Assessments: the Case of Software Vulnerabilities


The Effect of Spoken Language on Speech Enhancement using Self-Supervised Speech Representation Loss Functions


The Effect of Surprisal on Reading Times in Information Seeking and Repeated Reading


The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset


The Effect of Translationese in Machine Translation Test Sets


The Effect of Vera C. Rubin Observatory Cadence Selections on Kilonova Detectability


The Effect of the Rooney Rule on Implicit Bias in the Long Term


The Effect of the Russian-Ukrainian Conflict from the Perspective of Internet eXchanges


The Effective Halo Model: Creating a Physical and Accurate Model of the Matter Power Spectrum and Cluster Counts


The Effective Potential in Fermi Gauges Beyond the Standard Model


The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited


The Effectiveness of Data Augmentation in Image Classification using Deep Learning


The Effectiveness of Edge Detection Evaluation Metrics for Automated Coastline Detection


The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval


The Effectiveness of Large Language Models in Transforming Unstructured Text to Standardized Formats


The Effectiveness of Masked Language Modeling and Adapters for Factual Knowledge Injection


The Effectiveness of Random Forgetting for Robust Generalization


The Effectiveness of Security Interventions on GitHub


The Effectiveness of World Models for Continual Reinforcement Learning


The Effectiveness of a Simple Helmholtz coil-like Magnetic Shield at Reducing X-ray-like Background in Space-based X-ray Detectors


The Effectiveness of a Simplified Model Structure for Crowd Counting


The Effects of Approximate Multiplication on Convolutional Neural Networks


The Effects of Asymmetric Dark Matter on Stellar Evolution I: Spin-Dependent Scattering


The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts


The Effects of Data Quality on Machine Learning Performance on Tabular Data


The Effects of In-domain Corpus Size on pre-training BERT


The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims


The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks


The Effects of Multi-Task Learning on ReLU Neural Network Functions


The Effects of Peeling on Finite Element Method -based EEG Source Reconstruction


The Effects of Political Martyrdom on Election Results: The Assassination of Abe


The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models


The Effects of Selected Object Features on a Pick-and-Place Task: a Human Multimodal Dataset


The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification


The Efficacy of Self-Supervised Speech Models for Audio Representations


The Efficacy of Transfer-based No-box Attacks on Image Watermarking: A Pragmatic Analysis


The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency


The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural Networks


The Eigenvalues Slicing Library (EVSL): Algorithms, Implementation, and Software


The Electroweak Sphaleron Revisited: II. Study of Decay Dynamics


The Elements of Differentiable Programming


The Elements of Visual Art Recommendation: Learning Latent Semantic Representations of Paintings


The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research


The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation


The Elliptical Ornstein-Uhlenbeck Process


The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging


The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning


The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter


The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos


The Emergence of Organizing Structure in Conceptual Representation


The Emergence of Software Diversity in Maven Central


The Emergence of the Shape Bias Results from Communicative Efficiency


The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation


The Emotional Roller Coaster of Responding to Requirements Changes in Software Engineering


The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems


The Emperor is Now Clothed: A Secure Governance Framework for Web User Authentication through Password Managers


The Emperor's New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination


The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof


The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark


The Energetics of Molecular Adaptation in Transcriptional Regulation


The Entrapment Problem in Random Walk Decentralized Learning


The Entropy Enigma: Success and Failure of Entropy Minimization


The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection


The Epoch of Reionization 21-cm Bispectrum: The impact of light-cone effects and detectability


The Epochal Sawtooth Effect: Unveiling Training Loss Oscillations in Adam and Other Optimizers


The Epps effect under alternative sampling schemes


The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition


The Equilibrium Climate Response to Sulfur Dioxide and Carbonaceous Aerosol Emissions from East and Southeast Asia


The Essential Synchronization Backbone Problem


The Ethics of AI-Generated Maps: A Study of DALLE 2 and Implications for Cartography


The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation


The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics


The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results


The Evolution of Molecular Gas Fraction Traced by the CO Tully-Fisher Relation


The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation


The ExoTETHyS package: Tools for Exoplanetary Transits around Host Stars


The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control


The Explanation Game: Towards Prediction Explainability through Sparse Communication


The Exponential of Skew-Symmetric Matrices: A Nearby Inverse and Efficient Computation of Derivatives


The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks


The Expressive Power of Low-Rank Adaptation


The Extended Dawid-Skene Model: Fusing Information from Multiple Data Schemas


The Extended Persistent Homology Transform of manifolds with boundary


The Extended SONICOM HRTF Dataset and Spatial Audio Metrics Toolbox


The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations


The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization


The F-Symbols for the H3 Fusion Category


The FENIKS Survey: Multi-wavelength Photometric Catalog in the UDS Field, and Catalogs of Photometric Redshifts and Stellar Population Properties


The FHD/$\boldsymbol{\varepsilon}$ppsilon Epoch of Reionization Power Spectrum Pipeline


The FIRST Classifier: Compact and Extended Radio Galaxy Classification using Deep Convolutional Neural Networks


The FIX Benchmark: Extracting Features Interpretable to eXperts


The FLAMINGO Project: An assessment of the systematic errors in the predictions of models for galaxy cluster counts used to infer cosmological parameters


The FLoRA Engine: Using Analytics to Measure and Facilitate Learners' own Regulation Activities


The Face of Populism: Examining Differences in Facial Emotional Expressions of Political Leaders Using Machine Learning


The Fact Selection Problem in LLM-Based Program Repair


The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention


The Factuality of Large Language Models in the Legal Domain


The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness


The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric


The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification


The Farmer: A reproducible profile-fitting photometry package for deep galaxy surveys


The Farthest Point Map on the Regular Dodecahedron


The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions


The Fast Möbius Transform: An algebraic approach to information decomposition


The Fast and the Fiducial: Augmented kludge waveforms for detecting extreme-mass-ratio inspirals


The Federated Tumor Segmentation (FeTS) Challenge


The Fellowship of the LLMs: Multi-Agent Workflows for Synthetic Preference Optimization Dataset Generation


The FermiFab Toolbox for Fermionic Many-Particle Quantum Systems


The Fifth Catalogue of Nearby Stars (CNS5)


The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities


The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems


The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss


The First Light Curve Solutions and Period Study of BQ Ari


The First Place Solution of WSDM Cup 2024: Leveraging Large Language Models for Conversational Multi-Doc QA


The First Swahili Language Scene Text Detection and Recognition Dataset


The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation


The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?


The Fisher Geometry and Geodesics of the Multivariate Normals, without Differential Geometry


The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation


The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization


The Florence Trigger-Box (FTB) project: an FPGA-based configurable and scalable trigger system


The Fluidity of Concept Representations in Human Brain Signals


The Forgotten Document-Oriented Database Management Systems: An Overview and Benchmark of Native XML DODBMSes in Comparison with JSON DODBMSes


The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study


The Foundation for Developing an Exoskeleton for the Rehabilitation of Temporomandibular Disorders


The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes


The Four Color Theorem for Cell Instance Segmentation


The Four-Color Ramsey Multiplicity of Triangles


The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results


The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning


The Fragility of Multi-Treebank Parsing Evaluation


The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment


The Frank number and nowhere-zero flows on graphs


The Frankfurt Latin Lexicon: From Morphological Expansion and Word Embeddings to SemioGraphs


The Frequency and Sizes of Inner Bars and Nuclear Rings in Barred Galaxies and Their Dependence on Galaxy Properties


The Frobenius character of the Orlik-Terao algebra of type A


The Fréchet Distance Unleashed: Approximating a Dog with a Frog


The Fréchet derivative of the tensor t-function


The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size


The Full-Sky Angular Bispectrum in Redshift Space


The Fundamental Subspaces of Ensemble Kalman Inversion


The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems


The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction


The Future of Ad Blocking: An Analytical Framework and New Techniques


The Future of Gamma-Ray Experiments in the MeV-EeV Range


The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models


The GALAH Survey: A New Sample of Extremely Metal-Poor Stars Using A Machine Learning Classification Algorithm


The GALAH Survey: Chemical tagging and chrono-chemodynamics of accreted halo stars with GALAH+ DR3 and $Gaia$ eDR3


The GALAH survey: Tracing the Milky Way's formation and evolution through RR Lyrae stars


The GALAH survey: a catalogue of carbon-enhanced stars and CEMP candidates


The GALAH survey: effective temperature calibration from the InfraRed Flux Method in the Gaia system


The GALAH survey: unresolved triple Sun-like stars discovered by the Gaia mission


The GAN is dead; long live the GAN! A Modern GAN Baseline


The GECKOS Survey: Identifying kinematic sub-structures in edge-on galaxies


The GECo algorithm for Graph Neural Networks Explanation


The GENEA Challenge 2023: A large scale evaluation of gesture generation models in monadic and dyadic settings


The GENIUS Approach to Robust Mendelian Randomization Inference


The GLASS-JWST Early Release Science Program. II. Stage I release of NIRCam imaging and catalogs in the Abell 2744 region


The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories


The GPU-based Parallel Ant Colony System


The GRBSN webtool: An open-source repository for gamma-ray burst-supernova associations


The GRETOBAPE gas-phase reaction network: the importance of being exothermic


The GWR route map: a guide to the informed application of Geographically Weighted Regression


The Gaia-ESO Survey: Preparing the ground for 4MOST & WEAVE galactic surveys. Chemical evolution of lithium with machine learning


The Galactic Bulge exploration IV.: RR~Lyrae stars as traces of the Galactic bar -- 3D and 5D analysis, extinction variation


The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages


The Galaxy Cluster 'Pypeline' for X-ray Temperature Maps: ClusterPyXT


The Galaxy Clustering Crisis in Abundance Matching


The Galaxy Power Spectrum and Bispectrum in Redshift Space


The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations


The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches


The Gaussian Process Autoregressive Regression Model (GPAR)


The Gaussian equivalence of generative models for learning with shallow neural networks


The Gaussian-Linear Hidden Markov model: a Python package


The Gender Gap in Scholarly Self-Promotion on Social Media


The General One-loop Structure for the LFV Higgs Decays $H_r \to l_a l_b$ in multi-Higgs Models with Neutrino Masses


The Generalization Gap in Offline Reinforcement Learning


The Generalized Fermat Equation $x^2 + y^3 = z^{25}$


The Generalized Green's function Cluster Expansion: A Python package for simulating polarons


The Generalized Mean Densest Subgraph Problem


The Generation Gap: Exploring Age Bias in the Value Systems of Large Language Models


The Geometric Albedo of (4179) Toutatis Estimated from KMTNet DEEP-South Observations


The GeometricDecomposability package for Macaulay2


The Geometry of Categorical and Hierarchical Concepts in Large Language Models


The Geometry of Concepts: Sparse Autoencoder Feature Structure


The Geometry of Deep Networks: Power Diagram Subdivision


The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability


The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs


The Geometry of Multilingual Language Model Representations


The Geometry of Rank Drop in a Class of Face-Splitting Matrix Products


The Geometry of Synchronization Problems and Learning Group Actions


The Geometry of Tokens in Internal Representations of Large Language Models


The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets


The GigaMIDI Dataset with Features for Expressive Music Performance Detection


The GitHub Recent Bugs Dataset for Evaluating LLM-based Debugging Applications


The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs


The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)


The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism


The Gradient of Algebraic Model Counting


The Grail theorem prover: Type theory for syntax and semantics


The Grammar of Interactive Explanatory Model Analysis


The Grammar-Learning Trajectories of Neural Language Models


The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores


The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks


The Graph-Based Behavior-Aware Recommendation for Interactive News


The GraphTempo Framework for Exploring the Evolution of a Graph through Pattern Aggregation


The Gravitational Afterglow of Boson Stars


The Gray graph is pseudo 2-factor isomorphic


The Greedy and Recursive Search for Morphological Productivity


The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised data


The Gromov-Wasserstein distance between networks and stable network invariants


The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations


The HD 98800 quadruple pre-main sequence system. Towards full orbital characterisation using long-baseline infrared interferometry


The HI in Ring Galaxies Survey (HI-RINGS) -- Effects of the bar on the HI gas in ring galaxies


The HRC Model Set for Human-Robot Collaboration Research


The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualization


The HaMSE Ontology: Using Semantic Technologies to support Music Representation Interoperability and Musicological Analysis


The Hadamard product, its residual, and its dual residual in the dioid of counters: algorithms and implementation in C++


The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States


The Hallucination Dilemma: Factuality-Aware Reinforcement Learning for Large Reasoning Models


The Hamiltonian of Poly-matrix Zero-sum Games


The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?


The Hard-Constraint PINNs for Interface Optimal Control Problems


The Hardness of Validating Observational Studies with Experimental Data


The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks


The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups


The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications


The Hawaii Infrared Parallax Program. VI. The Fundamental Properties of 1000+ Ultracool Dwarfs and Planetary-mass Objects Using Optical to Mid-IR SEDs and Comparison to BT-Settl and ATMO 2020 Model Atmospheres


The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity


The Helsinki Neural Machine Translation System


The Herbarium 2021 Half-Earth Challenge Dataset


The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement


The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs


The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models


The Hidden Convexity of Spectral Clustering


The Hidden Cost of Waiting for Accurate Predictions


The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features


The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Safety Analysis


The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering


The Hidden Space of Transformer Language Adapters


The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems


The Hierarchical Structure of Galactic Haloes: Differentiating Clusters from Stochastic Clumping with AstroLink


The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms


The High Time Resolution Universe survey XIV: Discovery of 23 pulsars through GPU-accelerated reprocessing


The Historical Significance of Textual Distances


The Hitchhiker's Guide to Nonlinear Filtering


The Hitchhiker's Guide to Prior-Shift Adaptation


The Hitchhiker's Guide to Program Analysis, Part II: Deep Thoughts by LLMs


The Hitchhiker's guide to the galaxy catalog approach for gravitational wave cosmology


The Holdout Randomization Test for Feature Selection in Black Box Models


The Host Galaxies of Fast Radio Bursts Track a Combination of Stellar Mass and Star Formation, Similar to Type Ia Supernovae


The Hough Stream Spotter: A New Method for Detecting Linear Structure in Resolved Stars and Application to the Stellar Halo of M31


The Hubble Tension, The $M$ Crisis of Late Time $H(z)$ Deformation Models and the Reconstruction of Quintessence Lagrangians


The Hubble constant from strongly lensed supernovae with standardizable magnifications


The Hyper Suprime-Cam extended Point Spread Functions and applications


The Hyperdimensional Transform for Distributional Modelling, Regression and Classification


The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review


The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose


The ILLTP Library for Intuitionistic Linear Logic


The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset


The Ice Coverage of Earth-like Planets Orbiting FGK Stars


The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems


The Illusion of Empathy: How AI Chatbots Shape Conversation Perception


The Illusion of the Illusion of Sparsity: An exercise in prior sensitivity


The Image Deblurring Problem: Matrices, Wavelets, and Multilevel Methods


The Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARD


The Impact Of Noise And Topology On Opinion Dynamics In Social Networks


The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks


The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies


The Impact of Anisotropic Redshift Distributions on Angular Clustering


The Impact of Automated Parameter Optimization on Defect Prediction Models


The Impact of COVID-19 Vaccination Delay: A Modelling Study for Chicago and NYC Data


The Impact of Changes in Resolution on the Persistent Homology of Images


The Impact of Data Distribution on Fairness and Robustness in Federated Learning


The Impact of Data Distribution on Q-learning with Function Approximation


The Impact of Data Persistence Bias on Social Media Studies


The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis


The Impact of Differential Privacy on Group Disparity Mitigation


The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias


The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance


The Impact of Element Ordering on LM Agent Performance


The Impact of Exposed Passwords on Honeyword Efficacy


The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study


The Impact of Feature Representation on the Accuracy of Photonic Neural Networks


The Impact of Global Structural Information in Graph Neural Networks Applications


The Impact of Human Aspects on the Interactions Between Software Developers and End-Users in Software Engineering: A Systematic Literature Review


The Impact of Human Factors on the Participation Decision of Reviewers in Modern Code Review


The Impact of IR-based Classifier Configuration on the Performance and the Effort of Method-Level Bug Localization


The Impact of Inference Acceleration Strategies on Bias of LLMs


The Impact of Language Adapters in Cross-Lingual Transfer for NLU


The Impact of Live Polling Quizzes on Student Engagement and Performance in Computer Science Lectures


The Impact of LoRA on the Emergence of Clusters in Transformers


The Impact of Model Assumptions in Scalar-on-Image Regression


The Impact of Model Zoo Size and Composition on Weight Space Learning


The Impact of Negative Sampling on Contrastive Structured World Models


The Impact of Partial Packet Recovery on the Inherent Secrecy of Random Linear Coding


The Impact of Plasma Instabilities on the Spectra of TeV Blazars


The Impact of Post-editing and Machine Translation on Creativity and Reading Experience


The Impact of Process Complexity on Process Performance: A Study using Event Log Data


The Impact of Prompt Programming on Function-Level Code Generation


The Impact of Prompts on Zero-Shot Detection of AI-Generated Text


The Impact of Sampling Variability on Estimated Combinations of Distributional Forecasts


The Impact of School and Family Networks on COVID-19 Infections Among Dutch Students: A Study Using Population-Level Registry Data


The Impact of Semi-Supervised Learning on Line Segment Detection


The Impact of Speech Anonymization on Pathology and Its Limits


The Impact of Stellar Flares on the Atmospheric Escape of Exoplanets orbiting M stars I: Insights from the AU Mic System


The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations


The Implementation of the Colored Abstract Simplicial Complex and its Application to Mesh Generation


The Implications of 3D Thermal Structure on 1D Atmospheric Retrieval


The Implications of Local Fluctuations in the Galactic Midplane for Dynamical Analysis in the Gaia Era


The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks


The Implicit Bias of AdaGrad on Separable Data


The Implicit Bias of Depth: How Incremental Learning Drives Generalization


The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks


The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels


The Implicit Regularization of Ordinary Least Squares Ensembles


The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement


The Implicit and Explicit Regularization Effects of Dropout


The Importance of Anti-Aliasing in Tiny Object Detection


The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains


The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains


The Importance of Discussing Assumptions when Teaching Bootstrapping


The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants


The Importance of Pessimism in Fixed-Dataset Policy Optimization


The Importance of Reference Frame for Pressure at the Liquid-Vapour Interface


The Importance of Time in Causal Algorithmic Recourse


The Importance of Worst-Case Memory Contention Analysis for Heterogeneous SoCs


The Impostor Among US(B): Off-Path Injection Attacks on USB Communications


The In-Sample Softmax for Offline Reinforcement Learning


The Increased Effect of Elections and Changing Prime Ministers on Topics Discussed in the Australian Federal Parliament between 1901 and 2018


The Incredible Shrinking Context... in a Decompiler Near You


The Indian Pulsar Timing Array: First data release


The Indirect Method for Generating Libraries of Optimal Periodic Trajectories and Its Application to Economical Bipedal Walking


The Induced Matching Distance: A Novel Topological Metric with Applications in Robotics


The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through


The Infinitesimal Jackknife and Combinations of Models


The Infinitesimal Phase Response Curves of Oscillators in Piecewise Smooth Dynamical Systems


The Influence of Cultural Distance on Settlement Intention of Floating Population in China


The Influence of Dataset Partitioning on Dysfluency Detection Systems


The Influence of Memory in Multi-Agent Consensus


The Influence of Multiple Classes on Learning Online Classifiers from Imbalanced and Concept Drifting Data Streams


The Influence of Stellar Chromospheres and Coronae on Exoplanet Transmission Spectroscopy


The Influence of Trust Score on Cooperative Behavior


The Information & Mutual Information Ratio for Counting Image Features and Their Matches


The Information Geometry of Unsupervised Reinforcement Learning


The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles


The Information Retrieval Experiment Platform


The Instinctive Bias: Spurious Images lead to Illusion in MLLMs


The Integrated Nested Laplace Approximation for fitting Dirichlet regression models


The Integrated Vehicle and Pollster Routing Problem


The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing


The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who


The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation


The Interactive Modeling of a Binary Star System


The Interface Usage Skills Test: An Open Source Tool for Quantitative Evaluation in Real Time for Clinicians and Researchers


The Interplay between Lexical Resources and Natural Language Processing


The Interplay between the Dark Matter Axion and Primordial Black Holes


The Interplay of Semantics and Morphology in Word Embeddings


The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation


The Intrinsic Dimension of Images and Its Impact on Learning


The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning


The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents


The Invasion of Ukraine Viewed through TikTok: A Dataset


The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns


The Iron Yield of Normal Type II Supernovae