What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study


What the HellaSwag? On the Validity of Common-Sense Reasoning Benchmarks


What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition


What time is it? Temporal Analysis of Novels


What to Do When Your Discrete Optimization Is the Size of a Neural Network?


What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features


What to Hide from Your Students: Attention-Guided Masked Image Modeling


What to Learn, and How: Toward Effective Learning from Rationales


What to Make of Zero: Resolving the Statistical Noise from Conformational Reorganization in Alchemical Binding Free Energy Estimates with Metadynamics Sampling


What to Pre-Train on? Efficient Intermediate Task Selection


What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer


What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction


What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment


What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation


What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders


What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?


What's Going On in Neural Constituency Parsers? An Analysis


What's Hard in English RST Parsing? Predictive Models for Error Analysis


What's Left? Concept Grounding with Logic-Enhanced Foundation Models


What's Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs


What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering


What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models


What's Wrong with the Absolute Trajectory Error?


What's a good imputation to predict with missing values?


What's documented in AI? Systematic Analysis of 32K AI Model Cards


What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics


What's in a Decade? Transforming Faces Through Time


What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training


What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization


What's in a Name? Auditing Large Language Models for Race and Gender Bias


What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models through User-Provided Names in CAD Files


What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus


What's in the laundromat? Mapping and characterising offshore owned domestic property in London


What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving


What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models


What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns


What's the Difference? The potential for Convolutional Neural Networks for transient detection without template subtraction


What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment


What's the Point: Semantic Segmentation with Point Supervision


What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research


What's under the hood: Investigating Automatic Metrics on Meeting Summarization


What, when, and where? -- Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions


What-If Motion Prediction for Autonomous Driving


Whatcha lookin' at? DeepLIFTing BERT's Attention in Question Answering


Whats New? Identifying the Unfolding of New Events in Narratives


Whats next? Forecasting scientific research trends


WhatsApp Explorer: A Data Donation Tool To Facilitate Research on WhatsApp


Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU


WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair Users


WheelPoser: Sparse-IMU Based Body Pose Estimation for Wheelchair Users


When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models


When "Competency" in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Complex Ciphers


When & How to Transfer with Transfer Learning


When A Conventional Filter Meets Deep Learning: Basis Composition Learning on Image Filters


When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments


When AWGN-based Denoiser Meets Real Noises


When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture


When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework


When Are Concepts Erased From Diffusion Models?


When Are Names Similar Or the Same? Introducing the Code Names Matcher Library


When Are Solutions Connected in Deep Networks?


When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making


When Astronomy Meets AI: Manazel For Crescent Visibility Prediction in Morocco


When Attention Sink Emerges in Language Models: An Empirical View


When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs


When Babies Teach Babies: Can student knowledge sharing outperform Teacher-Guided Distillation on small datasets?


When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback


When Bias Backfires: The Modulatory Role of Counterfactual Explanations on the Adoption of Algorithmic Bias in XAI-Supported Human Decision-Making


When Box Meets Graph Neural Network in Tag-aware Recommendation


When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition


When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data


When Can We Track Significant Preference Shifts in Dueling Bandits?


When Can You Get Away with Low Memory Adam?


When Can You Tile an Integer Rectangle with Integer Squares?


When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather


When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks


When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure


When Context Leads but Parametric Memory Follows in Large Language Models


When ControlNet Meets Inexplicit Masks: A Case Study of ControlNet on its Contour-following Ability


When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning


When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs


When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics


When Deep Learning Meets Digital Image Correlation


When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning


When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs


When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks


When Do "More Contexts" Help with Sarcasm Recognition?


When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset


When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?


When Do Curricula Work in Federated Learning?


When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability


When Do LLMs Admit Their Mistakes? Understanding the Role of Model Belief in Retraction


When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation


When Do Neural Nets Outperform Boosted Trees on Tabular Data?


When Do Neural Networks Outperform Kernel Methods?


When Do People Trust Their Social Groups?


When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations


When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions


When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective


When Do You Need Billions of Words of Pretraining Data?


When Does Classical Chinese Help? Quantifying Cross-Lingual Transfer in Hanja and Kanbun


When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?


When Does Group Invariant Learning Survive Spurious Correlations?


When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?


When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset


When Does Pruning Benefit Vision Representations?


When Does Self-Supervision Help Graph Convolutional Networks?


When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes


When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood Perspective


When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo


When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas


When Every Token Counts: Optimal Segmentation for Low-Resource Language Models


When Explanations Lie: Why Many Modified BP Attributions Fail


When Face Recognition Meets Occlusion: A New Benchmark


When Fair Classification Meets Noisy Protected Attributes


When Fair Ranking Meets Uncertain Inference


When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting


When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods


When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions


When GDD meets GNN: A Knowledge-driven Neural Connection for Effective Entity Resolution in Property Graphs


When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach


When Good Components Go Bad: Formally Secure Compilation Despite Dynamic Compromise


When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP


When Graph Convolution Meets Double Attention: Online Privacy Disclosure Detection with Multi-Label Text Classification


When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning


When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook


When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning


When HLS Meets FPGA HBM: Benchmarking and Bandwidth Optimization


When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models


When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark


When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning


When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models


When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks


When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank


When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages


When Is TTS Augmentation Through a Pivot Language Useful?


When Knockoffs fail: diagnosing and fixing non-exchangeability of Knockoffs


When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search


When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models


When LLMs Meet Cybersecurity: A Systematic Literature Review


When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings


When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes


When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models


When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes


When Language Models Fall in Love: Animacy Processing in Transformer Language Models


When Large Language Models are Reliable for Judging Empathic Communication


When Layers Play the Lottery, all Tickets Win at Initialization


When Less Is More: Systematic Analysis of Cascade-Based Community Detection


When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection


When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning


When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models


When Lipschitz Walks Your Dog: Algorithm Engineering of the Discrete Fr\'echet Distance under Translation


When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion Segmentation


When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs


When Measurement Mediates the Effect of Interest


When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-$k$ Multi-Label Learning


When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations


When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection


When Models Reason in Your Language: Controlling Thinking Trace Language Comes at the Cost of Accuracy


When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA


When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations


When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation


When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review


When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks


When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search


When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference


When Neural Networks Fail to Generalize? A Model Sensitivity Perspective


When No-Rejection Learning is Consistent for Regression with Rejection


When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning


When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality


When Optimizing $f$-divergence is Robust with Label Noise


When Parameter-efficient Tuning Meets General-purpose Vision-language Models


When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models


When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset


When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes


When Prompting Fails to Sway: Inertia in Moral and Value Judgments of Large Language Models


When Quantization Affects Confidence of Large Language Models?


When Reasoning Beats Scale: A 1.5B Reasoning Model Outranks 13B LLMs as Discriminator


When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives


When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions


When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews


When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration


When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation


When SAM2 Meets Video Shadow and Mirror Detection


When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings


When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation


When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification


When Selection Meets Intervention: Additional Complexities in Causal Discovery


When Semantic Segmentation Meets Frequency Aliasing


When Servers Meet Species: A Fab-to-Grave Lens on Computing's Biodiversity Impact


When Sheep Shop: Measuring Herding Effects in Product Ratings with Natural Experiments


When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning?


When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies


When SparseMoE Meets Noisy Interactions: An Ensemble View on Denoising Recommendation


When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron


When Style Breaks Safety: Defending Language Models Against Superficial Style Alignment


When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection


When Tukey meets Chauvenet: a new boxplot criterion for outlier detection


When Unsupervised Domain Adaptation Meets Tensor Representations


When Vision Fails: Text Attacks Against ViT and OCR


When Waiting is not an Option : Learning Options with a Deliberation Cost


When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning


When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger


When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic Classification


When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it


When an LLM is apprehensive about its answers -- and when its uncertainty is justified


When and How Does In-Distribution Label Help Out-of-Distribution Detection?


When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis


When and How to Fool Explainable Models (and Humans) with Adversarial Examples


When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes


When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context


When and Where to Step: Terrain-Aware Real-Time Footstep Location and Timing Optimization for Bipedal Robots


When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study


When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?


When and how CNNs generalize to out-of-distribution category-viewpoint combinations


When and why PINNs fail to train: A neural tangent kernel perspective


When and why vision-language models behave like bags-of-words, and what to do about it?


When are Iterative Gaussian Processes Reliably Accurate?


When are Post-hoc Conceptual Explanations Identifiable?


When are dynamical systems learned from time series data statistically accurate?


When can I Speak? Predicting initiation points for spoken dialogue agents


When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications


When can classical neural networks represent quantum states?


When can transformers reason with abstract symbols?


When can we get away with using the two-way fixed effects regression?


When can we reconstruct the ancestral state? Beyond Brownian motion


When causation does not imply correlation: robust violations of the Faithfulness axiom


When classifying grammatical role, BERT doesn't care about word order... except when it matters


When climate variables improve the dengue forecasting: a machine learning approach


When deep learning meets causal inference: a computational framework for drug repurposing from real-world data


When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues


When differential privacy meets NLP: The devil is in the detail


When do Convolutional Neural Networks Stop Learning?


When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets


When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?


When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room


When does Bias Transfer in Transfer Learning?


When does Privileged Information Explain Away Label Noise?


When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning


When does an impacting drop stop bouncing?


When does compositional structure yield compositional generalization? A kernel theory


When does dough become a bagel? Analyzing the remaining mistakes on ImageNet


When does return-conditioned supervised learning work for offline reinforcement learning?


When does vapor pressure deficit drive or reduce evapotranspiration?


When does word order matter and when doesn't it?


When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised


When in Doubt: Improving Classification Performance with Alternating Normalization


When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting


When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer


When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?


When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective


When is Tree Search Useful for LLM Planning? It Depends on the Discriminator


When is a Network a Network? Multi-Order Graphical Model Selection in Pathways and Temporal Networks


When it Rains, it Pours: Modeling Media Storms and the News Ecosystem


When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysis


When less is more: evolving large neural networks from small ones


When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness


When redundancy is useful: A Bayesian approach to 'overinformative' referring expressions


When repeats drive the vocabulary: a Byte-Pair Encoding analysis of T2T primate genomes


When should we prefer Decision Transformers for Offline Reinforcement Learning?


When social influence promotes the wisdom of crowds


When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning


When the Music Stops: Tip-of-the-Tongue Retrieval for Music


When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings


When to Impute? Imputation before and during cross-validation


When to Learn What: Model-Adaptive Data Augmentation Curriculum


When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment


When to Pre-Train Graph Neural Networks? From Data Generation Perspective!


When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively


When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL


When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention


When to Trust LLMs: Aligning Confidence with Response Quality


When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning


When to Update Your Model: Constrained Model-based Reinforcement Learning


When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants


When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning


When to encourage using Gaussian regression for feature selection tasks with time-to-event outcome


When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints


When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums


When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation


When to use simulated annealing for solving CVRP? A case study of fuel deliveries in Poland


When will you do what? - Anticipating Temporal Occurrences of Activities


When your Cousin has the Right Connections: Unsupervised Bilingual Lexicon Induction for Related Data-Imbalanced Languages


When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos


When, Why, and Which Pretrained GANs Are Useful?


When, where, and how to add new neurons to ANNs


Whenever, Wherever: Towards Orchestrating Crowd Simulations with Spatio-Temporal Spawn Dynamics


Where Are Large Language Models for Code Generation on GitHub?


Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News


Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods


Where Did My Variable Go? Poking Holes in Incomplete Debug Information


Where Did the President Visit Last Week? Detecting Celebrity Trips from News Articles


Where Do People Tell Stories Online? Story Detection Across Online Communities


Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior


Where Does Haydn End and Mozart Begin? Composer Classification of String Quartets


Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences


Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms


Where Does the Performance Improvement Come From? -- A Reproducibility Concern about Image-Text Retrieval


Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines


Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods


Where Visual Speech Meets Language: VSP-LLM Framework for Efficient and Context-Aware Visual Speech Processing


Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models


Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching


Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples


Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs


Where and What: Driver Attention-based Object Detection


Where and What? Examining Interpretable Disentangled Representations


Where are my Neighbors? Exploiting Patches Relations in Self-Supervised Vision Transformer


Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks


Where are the Water Worlds? Identifying the Exo-water-worlds Using Models of Planet Formation and Atmospheric Evolution


Where are we in audio deepfake detection? A systematic analysis over generative and detection models


Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems


Where are we now? A large benchmark study of recent symbolic regression methods


Where do Large Vision-Language Models Look at when Answering Questions?


Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability


Where do developers admit their security-related concerns?


Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation


Where in the World is this Image? Transformer-based Geo-localization in the Wild


Where is my forearm? Clustering of body parts from simultaneous tactile and linguistic input using sequential mapping


Where is the Truth? The Risk of Getting Confounded in a Continual World


Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction


Where is the context? -- A critique of recent dialogue datasets


Where is the mind within the brain? Transient selection of subnetworks by metabotropic receptors and G protein-gated ion channels


Where shadows lie: reconstruction of anisotropies in the neutrino sky


Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances


Where to Explore Next? ExHistCNN for History-aware Autonomous 3D Exploration


Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited


Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders


Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation


Where to Pay Attention in Sparse Training for Feature Selection?


Where to look at the movies : Analyzing visual attention to understand movie editing


Where you go is who you are -- A study on machine learning based semantic privacy attacks


Where's Crypto?: Automated Identification and Classification of Proprietary Cryptographic Primitives in Binary Code


Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution


Where's Waldo: Diffusion Features for Personalized Segmentation and Retrieval


Where, What, Why: Towards Explainable Driver Attention Prediction


Where2Act: From Pixels to Actions for Articulated 3D Objects


Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps


WhereWulff: A semi-autonomous workflow for systematic catalyst surface reactivity under reaction conditions


Whether you can locate or not? Interactive Referring Expression Generation


WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning


Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT


Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems


Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?


Which Attention Heads Matter for In-Context Learning?


Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning


Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision


Which Code Statements Implement Privacy Behaviors in Android Applications?


Which Country Is This? Automatic Country Ranking of Street View Photos


Which Event Happened First? Deferred Choice on Blockchain Using Oracles


Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection


Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences


Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations


Which Factors are associated with Open Access Publishing? A Springer Nature Case Study


Which Framework is Suitable for Online 3D Multi-Object Tracking for Autonomous Driving with Automotive 4D Imaging Radar?


Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition


Which Invariance Should We Transfer? A Causal Minimax Learning Approach


Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection


Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution


Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness


Which One Are You Referring To? Multimodal Object Identification in Situated Dialogue


Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding


Which Phylogenetic Networks are Level-k Networks with Additional Arcs? Structure and Algorithms


Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework


Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?


Which Shortcut Solution Do Question Answering Models Prefer to Learn?


Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN


Which Tasks Should Be Learned Together in Multi-task Learning?


Which Training Methods for GANs do actually Converge?


Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers


Which algorithm to select in sports timetabling?


Which country is this picture from? New data and methods for DNN-based country recognition


Which cycling environment appears safer? Learning cycling safety perceptions from pairwise image comparisons


Which glass stability parameters can assess the glass-forming ability of oxide systems?


Which is better? Exploring Prompting Strategy For LLM-based Metrics


Which options exist for NISQ-friendly linear response formulations?


Which picker fits my data? A quantitative evaluation of deep learning based seismic pickers


Which questions should I answer? Salience Prediction of Inquisitive Questions


Which way? Direction-Aware Attributed Graph Embedding


While-alive regression analysis of composite survival endpoints


Whirligig Beetles as Corralled Active Brownian Particles


WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words


Whisper D-SGD: Correlated Noise Across Agents for Differentially Private Decentralized Learning


Whisper Speaker Identification: Leveraging Pre-Trained Multilingual Transformers for Robust Speaker Embeddings


Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers


Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition


Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems


Whispers in Grammars: Injecting Covert Backdoors to Compromise Dense Retrieval Systems


Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness


White-Box Atomic Multicast (Extended Version)


White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense


White-Box Cartoonization Using An Extended GAN Framework


White-Box Diffusion Transformer for single-cell RNA-seq generation


White-Box Multi-Objective Adversarial Attack on Dialogue Generation


White-box Multimodal Jailbreaks Against Large Vision-Language Models


White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks


WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models


Whitened CLIP as a Likelihood Surrogate of Images and Captions


Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems


Whitening Consistently Improves Self-Supervised Learning


Whitening and Coloring batch transform for GANs


Whitening-Free Least-Squares Non-Gaussian Component Analysis


Whitening-based Contrastive Learning of Sentence Embeddings


WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach


Whittemore: An embedded domain specific language for causal programming


Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks


Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text


Who Can Find My Devices? Security and Privacy of Apple's Crowd-Sourced Bluetooth Location Tracking System


Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models


Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search


Who Does the Giant Number Pile Like Best: Analyzing Fairness in Hiring Contexts


Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)


Who Finds the Short Proof? An Exploration of Variants of Boolos' Curious Inference using Higher-order Automated Theorem Provers


Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News sites


Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL


Who Let The Dogs Out? Modeling Dog Behavior From Visual Data


Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls


Who Let the Smart Toaster Hack the House? An Investigation into the Security Vulnerabilities of Consumer IoT Devices


Who Ordered That? Unequal-Mass Binary Black Hole Mergers Have Larger Effective Spins


Who Reaps All the Superchats? A Large-Scale Analysis of Income Inequality in Virtual YouTuber Livestreaming


Who Relies More on World Knowledge and Bias for Syntactic Ambiguity Resolution: Humans or LLMs?


Who Said What? An Automated Approach to Analyzing Speech in Preschool Classrooms


Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network


Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network


Who Should Predict? Exact Algorithms For Learning to Defer to Humans


Who Speaks Next? Multi-party AI Discussion Leveraging the Systematics of Turn-taking in Murder Mystery Games


Who Wrote This? Identifying Machine vs Human-Generated Text in Hausa


Who Wrote this Code? Watermarking for Code Generation


Who calls the shots? Rethinking Few-Shot Learning for Audio


Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer


Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench


Who is GPT-3? An Exploration of Personality, Values and Demographics


Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methods


Who is Responsible? The Data, Models, Users or Regulations? A Comprehensive Survey on Responsible Generative AI for a Sustainable Future


Who is in Charge here? Understanding How Runtime Configuration Affects Software along with Variables&Constants


Who is leading in AI? An analysis of industry AI research


Who is to Blame: A Comprehensive Review of Challenges and Opportunities in Designer-Developer Collaboration


Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval


Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation


Who's Waldo? Linking People Across Text and Images


Who's Who: Large Language Models Meet Knowledge Conflicts in Practice


Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine Learning


Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp


Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration


Whodunit? Learning to Contrast for Authorship Attribution


Whole Brain Segmentation with Full Volume Neural Network


Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)


Whole Genome Phylogenetic Tree Reconstruction Using Colored de Bruijn Graphs


Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images


Whole Heart Mesh Generation For Image-Based Computational Simulations By Learning Free-From Deformations


Whole Heart Perfusion with High-Multiband Simultaneous Multislice Imaging via Linear Phase Modulated Extended Field of View (SMILE)


Whole MILC: generalizing learned dynamics across tasks, datasets, and populations


Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks


Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks


Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis


Whole genome single nucleotide polymorphism genotyping of Staphylococcus aureus


Whole-Body Lesion Segmentation in 18F-FDG PET/CT


Whole-Body Trajectory Optimization for Robot Multimodal Locomotion


Whole-Graph Representation Learning For the Classification of Signed Networks


Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings


Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data


Whombat: An open-source annotation tool for machine learning development in bioacoustics


Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics


Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas


Whose Emotion Matters? Speaking Activity Localisation without Prior Knowledge


Whose Opinions Do Language Models Reflect?


Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback


Whose Side Are You On? Investigating the Political Stance of Large Language Models


Whose story is it? Personalizing story generation by inferring author styles


Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation


Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models


Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection


Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects


Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph


Why Batch Normalization Damage Federated Learning on Non-IID Data?


Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity


Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition


Why Charge Added Using Transition Metals To Some Insulators -- Including LK-99 -- Localizes and Does Not Yield a Metal


Why Charles Can Pen-test: an Evolutionary Approach to Vulnerability Testing


Why Crypto-detectors Fail: A Systematic Evaluation of Cryptographic Misuse Detection Techniques


Why Developers Refactor Source Code: A Mining-based Study


Why Did You Not Compare With That? Identifying Papers for Use as Baselines


Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA


Why Do More Experts Fail? A Theoretical Analysis of Model Merging


Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning


Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks


Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum


Why Do We Click: Visual Impression-aware News Recommendation


Why Do We Need Weight Decay in Modern Deep Learning?


Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts


Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models


Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?


Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability


Why Does My Model Fail? Contrastive Local Explanations for Retail Forecasting


Why Don't Prompt-Based Fairness Metrics Correlate?


Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation


Why Go Full? Elevating Federated Learning Through Partial Network Updates


Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection


Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?


Why Just Boogie? Translating Between Intermediate Verification Languages


Why Machine Reading Comprehension Models Learn Shortcuts?


Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion


Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex


Why Normalizing Flows Fail to Detect Out-of-Distribution Data


Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement


Why Not Replace? Sustaining Long-Term Visual Localization via Handcrafted-Learned Feature Collaboration on CPU


Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity


Why Not Transform Chat Large Language Models to Non-English?


Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks


Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts


Why POCS works, and how to make it better


Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning


Why Random Pruning Is All We Need to Start Sparse


Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem


Why Rumors Spread Fast in Social Networks, and How to Stop It


Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP


Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions


Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions


Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers


Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise


Why Spectral Normalization Stabilizes GANs: Analysis and Improvements


Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors


Why Synthetic Control estimators are biased and what to do about it: Introducing Relaxed and Penalized Synthetic Controls


Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths


Why Transformers Need Adam: A Hessian Perspective


Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models


Why We Need New Evaluation Metrics for NLG


Why We Should Report the Details in Subjective Evaluation of TTS More Rigorously


Why am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes


Why an Android App is Classified as Malware? Towards Malware Classification Interpretation


Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations


Why and How: Knowledge-Guided Learning for Cross-Spectral Image Patch Matching


Why and when should you pool? Analyzing Pooling in Recurrent Architectures


Why are Sensitive Functions Hard for Transformers?


Why are Some Bugs Non-Reproducible? An Empirical Investigation using Data Fusion


Why are Visually-Grounded Language Models Bad at Image Classification?


Why are hyperbolic neural networks effective? A study on hierarchical representation capability


Why bother with geometry? On the relevance of linear decompositions of Transformer embeddings


Why detect forward muons at a muon collider


Why distinctiveness centrality is distinctive


Why do Nearest Neighbor Language Models Work?


Why do These Match? Explaining the Behavior of Image Similarity Models


Why do deep convolutional networks generalize so poorly to small image transformations?


Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision


Why does Knowledge Distillation Work? Rethink its Attention and Fidelity Mechanism


Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries


Why early tactile speech aids may have failed: no perceptual integration of tactile and auditory signals


Why gradient clipping accelerates training: A theoretical justification for adaptivity


Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles


Why is Normalization Necessary for Linear Recommenders?


Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality


Why is soccer so popular: Understanding underdog achievement and randomness in team ball sports


Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning


Why is the User Interface a Dark Pattern? : Explainable Auto-Detection and its Analysis


Why model why? Assessing the strengths and limitations of LIME


Why only Micro-F1? Class Weighting of Measures for Relation Classification


Why the Metric Backbone Preserves Community Structure


Why think step by step? Reasoning emerges from the locality of experience


Why we should respect analysis results as data


Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition


WhyAct: Identifying Action Reasons in Lifestyle Vlogs


WhyGen: Explaining ML-powered Code Generation by Referring to Training Examples


Wi-BFI: Extracting the IEEE 802.11 Beamforming Feedback Information from Commercial Wi-Fi Devices


Wi-Fi Wardriving Studies Must Account for Important Statistical Issues


WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context


WiCE: Real-World Entailment for Claims in Wikipedia


WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging


WiDEVIEW: An UltraWideBand and Vision Dataset for Deciphering Pedestrian-Vehicle Interactions


WiFaKey: Generating Cryptographic Keys from Face in the Wild


WiFi Based Distance Estimation Using Supervised Machine Learning


WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network


WiFi-CSI Sensing and Bearing Estimation in Multi-Robot Systems: An Open-Source Simulation Framework


WiFi-Inertial Indoor Pose Estimation for Micro Aerial Vehicles


WiFiEye -- Seeing over WiFi Made Accessible


WiFlexFormer: Efficient WiFi-Based Person-Centric Sensing


WiGNet: Windowed Vision Graph Neural Network


WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild


WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing


WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration


WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework


WiROS: WiFi sensing toolbox for robotics


WiRe57 : A Fine-Grained Benchmark for Open Information Extraction


WiSeBE: Window-based Sentence Boundary Evaluation


WiSegRT: Dataset for Site-Specific Indoor Radio Propagation Modeling with 3D Segmentation and Differentiable Ray-Tracing


WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion


WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking


Wide & Deep Learning for Node Classification


Wide Binaries from GAIA EDR3: preference for GR over MOND ?


Wide Mean-Field Bayesian Neural Networks Ignore the Data


Wide Two-Layer Networks can Learn from Adversarial Perturbations


Wide stochastic networks: Gaussian limit and PAC-Bayesian training


Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph


Wide-Baseline Relative Camera Pose Estimation with Directional Learning


Wide-Field, High-Resolution Reconstruction in Computational Multi-Aperture Miniscope Using a Fourier Neural Network


Wide-angle Image Rectification: A Survey


Wide-scale Monitoring of Satellite Lifetimes: Pitfalls and a Benchmark Dataset


WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes


Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting


Wideband Relative Transfer Function (RTF) Estimation Exploiting Frequency Correlations


Wideband THz Multi-User Downlink Communications with Leaky Wave Antennas


Wideband and Entropy-Aware Deep Soft Bit Quantization


Wideband current modulation of diode lasers for frequency stabilization


Widening Access to Applied Machine Learning with TinyML


Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts


Widespread Flaws in Offline Evaluation of Recommender Systems


Widest Paths and Global Propagation in Bounded Value Iteration for Stochastic Games


Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements


WidthFormer: Toward Efficient Transformer-based BEV View Transformation


Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning


Wiener Guided DIP for Unsupervised Blind Image Deconvolution


Wiggling Weights to Improve the Robustness of Classifiers


Wigner Distribution Deconvolution Adaptation for Live Ptychography Reconstruction


Wigner State and Process Tomography on Near-Term Quantum Devices


Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks


Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia


Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables


WikiAsp: A Dataset for Multi-domain Aspect-based Summarization


WikiAutoGen: Towards Multi-Modal Wikipedia-Style Article Generation


WikiCSSH: Extracting and Evaluating Computer Science Subject Headings from Wikipedia


WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph Construction


WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia


WikiCheck: An end-to-end open source Automatic Fact-Checking API based on Wikipedia


WikiCoder: Learning to Write Knowledge-Powered Code


WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia


WikiDataSets: Standardized sub-graphs from Wikidata


WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs


WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types


WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions


WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity Recognition


WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset


WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation


WikiIns: A High-Quality Dataset for Controlled Text Editing by Natural Language Instruction


WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization


WikiLink: an encyclopedia-based semantic network for design innovation


WikiMulti: a Corpus for Cross-Lingual Summarization


WikiReddit: Tracing Information and Attention Flows Between Online Platforms


WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia


WikiSplit++: Easy Data Refinement for Split and Rephrase


WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections


WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking


WikiVideo: Article Generation from Multiple Videos


Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia


Wikibio: a Semantic Resource for the Intersectional Analysis of Biographical Events


Wikidata-lite for Knowledge Extraction and Exploration


Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History


Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-hoc Retrieval


Wikinformetrics: Construction and description of an open Wikipedia knowledge graph dataset for informetric purposes


Wikipedia Citations: A comprehensive dataset of citations with identifiers extracted from English Wikipedia


Wikipedia Vandal Early Detection: from User Behavior to User Embedding


Wikipedia in the Era of LLMs: Evolution and Risks


WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing


Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results


Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments


Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time


WildAvatar: Web-scale In-the-wild Video Dataset for 3D Avatar Creation


WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild


WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection System


WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection


WildFX: A DAW-Powered Pipeline for In-the-Wild Audio FX Graph Modeling


WildFireCan-MMD: A Multimodal Dataset for Classification of User-Generated Content During Wildfires in Canada


WildFrame: Comparing Framing in Humans and LLMs on Naturally Occurring Texts


WildGaussians: 3D Gaussian Splatting in the Wild


WildGraph: Realistic Graph-based Trajectory Generation for Wildlife


WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs


WildIFEval: Instruction Following in the Wild


WildLight: In-the-wild Inverse Rendering with a Flashlight


WildNet: Learning Domain Generalized Semantic Segmentation from the Wild


WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language


WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments


WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models


Wildcat: Educational RISC-V Microprocessors


Wildebeest Herds on Rolling Hills: Flocking on Arbitrary Curved Surfaces


Wildfire Smoke Detection with Cross Contrast Patch Embedding


Wildfire danger prediction optimization with transfer learning


Wildfire spread forecasting with Deep Learning


Wildfires and Climate Change: What does social media tell us on linkages and public understanding? (Preliminary White Paper, February 11, 2022)


Wildland Fire Mid-story: A generative modeling approach for representative fuels


Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts


WildlifeDatasets: An open-source toolkit for animal re-identification


Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas


Will Agents Replace Us? Perceptions of Autonomous Multi-Agent AI


Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness


Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?


Will Large-scale Generative Models Corrupt Future Datasets?


Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic Cognition


Will Systems of LLM Agents Cooperate: An Investigation into a Social Dilemma


Will You Come Back to Contribute? Investigating the Inactivity of OSS Core Developers in GitHub


Will sentiment analysis need subculture? A new data augmentation approach


Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs


Will we run out of data? Limits of LLM scaling based on human-generated data


Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter


Willis elasticity from microcontinuum field theories: Asymptotics, microstructure-property relationships, and cloaking


Willkommens-Merkel, Chaos-Johnson, and Tore-Klose: Modeling the Evaluative Meaning of German Personal Name Compounds


Wilson loops, holomorphic anomaly equations and blowup equations


Wilson: a Python package for the running and matching of Wilson coefficients above and below the electroweak scale


Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs


WinNet: Make Only One Convolutional Layer Effective for Time Series Forecasting


WinPCA: A package for windowed principal component analysis


WinSyn: A High Resolution Testbed for Synthetic Data


WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models


Wind energy forecasting with missing values within a fully conditional specification framework


Wind erosion and transport on planetesimals


Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models


Wind turbine condition monitoring based on intra- and inter-farm federated learning


Windformer:Bi-Directional Long-Distance Spatio-Temporal Network For Wind Speed Prediction


Winding of a Brownian particle around a point vortex


Window Function for Chirped Pulse Spectroscopy with Enhanced Signal-to-noise Ratio and Lineshape Correction


Window Function-less DFT with Reduced Noise and Latency for Real-Time Music Analysis


Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities


Window Processing of Binary Polarization Kernels


Window Token Concatenation for Efficient Visual Large Language Models


Window to Wall Ratio Detection using SegFormer


Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models


WindowKV: Task-Adaptive Group-Wise KV Cache Window Selection for Efficient LLM Inference


WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values


Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale


Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users


Winner's Curse Free Robust Mendelian Randomization with Summary Data


Winner-takes-all learners are geometry-aware conditional density estimators


Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach


Winning the Lottery Ahead of Time: Efficient Early Network Pruning


Winning the Lottery with Continuous Sparsification


Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis


WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs


WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models


WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case


WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models


WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge


Winterface: An Interface from Wannier90 to Quantum Transport


Wireframe-Based UI Design Search Through Image Autoencoder


Wireless Fingerprinting via Deep Learning: The Impact of Confounding Factors


Wireless Hallucination in Generative AI-enabled Communications: Concepts, Issues, and Solutions


Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels


Wireless Link Scheduling with State-Augmented Graph Neural Networks


WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks


Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting


Wisdom of the Ensemble: Improving Consistency of Deep Learning Models


Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation


Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism


Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps


WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model


Wisecr: Secure Simultaneous Code Disseminationto Many Batteryless Computational RFID Devices


Wish You Were Here: Mental and Physiological Effects of Remote Music Collaboration in Mixed Reality


Wisture: RNN-based Learning of Wireless Signals for Gesture Recognition in Unmodified Smartphones


With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models


With False Friends Like These, Who Can Notice Mistakes?


With Friends Like These, Who Needs Adversaries?


With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation


With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition


With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector


With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning


With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness


WithdrarXiv: A Large-Scale Dataset for Retraction Study


Withdrawing the BGP Re-Routing Curtain: Understanding the Security Impact of BGP Poisoning via Real-World Measurements


Within-Camera Multilayer Perceptron DVS Denoising


Without Paired Labeled Data: An End-to-End Self-Supervised Paradigm for UAV-View Geo-Localization


Wizard of Search Engine: Access to Information Through Conversations with Search Engines


Wizundry: A Cooperative Wizard of Oz Platform for Simulating Future Speech-based Interfaces with Multiple Wizards


WloopPHI: A tool for ab initio characterization of Weyl semimetals


WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation


Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT


Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling


Women Through the Glass Ceiling: Gender Asymmetries in Wikipedia


Women Wearing Lipstick: Measuring the Bias Between an Object and Its Related Gender


Won't Get Fooled Again: Answering Questions with False Premises


WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks


Wonderful Team: Zero-Shot Physical Task Planning with Visual LLMs


WoodFisher: Efficient Second-Order Approximation for Neural Network Compression


WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving


Woodbury Transformations for Deep Generative Flows


Woodpecker: Hallucination Correction for Multimodal Large Language Models


WorDepth: Variational Language Prior for Monocular Depth Estimation


Word Acquisition in Neural Language Models


Word Embedding Dimension Reduction via Weakly-Supervised Feature Selection


Word Embedding Visualization Via Dictionary Learning


Word Embeddings Are Capable of Capturing Rhythmic Similarity of Words


Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes


Word Embeddings as Statistical Estimators


Word Embeddings for Automatic Equalization in Audio Mixing


Word Embeddings for Entity-annotated Texts


Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation


Word Embeddings for the Construction Domain


Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving


Word Frequency Does Not Predict Grammatical Knowledge in Language Models


Word Graph Guided Summarization for Radiology Findings


Word Grounded Graph Convolutional Network


Word Matters: What Influences Domain Adaptation in Summarization?


Word Mover's Embedding: From Word2Vec to Document Embedding


Word Recognition with Deep Conditional Random Fields


Word Representations, Tree Models and Syntactic Functions


Word Segmentation and Morphological Parsing for Sanskrit


Word Sense Disambiguation using a Bidirectional LSTM


Word Sense Induction with Neural biLM and Symmetric Patterns


Word Similarity Datasets for Thai: Construction and Evaluation


Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem


Word forms - not just their lengths- are optimized for efficient communication


Word-Class Embeddings for Multiclass Text Classification


Word-Level Alignment of Paper Documents with their Electronic Full-Text Counterparts


Word-Level Fine-Grained Story Visualization


Word-Level Loss Extensions for Neural Temporal Relation Classification


Word-level Textual Adversarial Attacking as Combinatorial Optimization


Word-order biases in deep-agent emergent communication


Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings


Word2Vec applied to Recommendation: Hyperparameters Matter


Word2Vec is a special case of Kernel Correspondence Analysis and Kernels for Natural Language Processing


Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?


Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks


Word2World: Generating Stories and Worlds through Large Language Models


Word2vec to behavior: morphology facilitates the grounding of language in machines


Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval


WordCraft: An Environment for Benchmarking Commonsense Agents


WordNet-feelings: A linguistic categorisation of human feelings


WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data


WordStream Maker: A Lightweight End-to-end Visualization Platform for Qualitative Time-series Data


WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models


Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation


Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally


Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions


Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation Work


Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications


Words fixing the kernel network and maximum independent sets in graphs


Words or Characters? Fine-grained Gating for Reading Comprehension


Words2Contact: Identifying Support Contacts from Verbal Instructions Using Foundation Models


Work probability distribution of weakly driven process in overdamped dynamics


Work-Efficient Parallel Non-Maximum Suppression Kernels


Work-distribution quantumness and irreversibility when crossing a quantum phase transition in finite time


Work/Precision Tradeoffs in Continuum Models of Biomolecular Electrostatics


WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting


Workflow Discovery from Dialogues in the Low Data Regime


Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows


Workflow Optimization for Parallel Split Learning


Workflow decomposition algorithm for scheduling with quantum annealer-based hybrid solver


WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models


Working Alliance Transformer for Psychotherapy Dialogue Classification


Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers


Working Memory for Online Memory Binding Tasks: A Hybrid Model


Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks


Working memory inspired hierarchical video decomposition with transformative representations


Working with Mixed Reality in Public: Effects of Virtual Display Layouts on Productivity, Feeling of Safety, and Social Acceptability


Works-magnet: Accelerating Metadata Curation for Open Science


World Knowledge in Multiple Choice Reading Comprehension


World Model Agents with Change-Based Intrinsic Motivation


World Model as a Graph: Learning Latent Landmarks for Planning


World Model on Million-Length Video And Language With Blockwise RingAttention


World Models via Policy-Guided Trajectory Diffusion


World Value Functions: Knowledge Representation for Learning and Planning


World War III Analysis using Signed Social Networks


World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering


World-GAN: a Generative Model for Minecraft Worlds


World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models


WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines


WorldGPT: Empowering LLM as Multimodal World Model


WorldKG: A World-Scale Geographic Knowledge Graph


WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation


WorldMove, a global open data for human mobility


WorldPM: Scaling Human Preference Modeling


WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models


WorldVLA: Towards Autoregressive Action World Model


WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models


Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image


Worldtube excision method for intermediate-mass-ratio inspirals: scalar-field model in 3+1 dimensions


Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance


Worldwide bilateral geopolitical interactions network inferred from national disciplinary profiles


Wormhole Loss for Partial Shape Matching


Wormhole Time Machines and Multiple Histories


Wormhole: A Fast Ordered Index for In-memory Data Management


Worrisome Properties of Neural Network Controllers and Their Symbolic Representations


Worst Case Matters for Few-Shot Recognition


Worst-Case Optimal Covering of Rectangles by Disks


Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations


Worst-case convergence analysis of relatively inexact gradient descent on smooth convex functions


Worth Their Weight: Randomized and Regularized Block Kaczmarz Algorithms without Preprocessing


Wotan: Comprehensive time-series de-trending in Python


Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads


Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering


Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study


Woven Fabric Capture with a Reflection-Transmission Photo Pair


Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition


Wrapper Boxes: Faithful Attribution of Model Predictions to Training Data


Wrapping Cycles in Delaunay Complexes: Bridging Persistent Homology and Discrete Morse Theory


Wrapyfi: A Python Wrapper for Integrating Robots, Sensors, and Applications across Multiple Middleware


Write and Paint: Generative Vision-Language Models are Unified Modal Learners


Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation


Writer adaptation for offline text recognition: An exploration of neural network-based methods


Writhed Analytical Magnetic Flux Rope Model


Writing Like the Best: Exemplar-Based Expository Text Generation


Writing Order Recovery in Complex and Long Static Handwriting


Writing Polishment with Simile: Task, Dataset and A Neural Approach


Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution


Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning


WritingBench: A Comprehensive Benchmark for Generative Writing


Wrong Answers Can Also Be Useful: PlausibleQA -- A Large-Scale QA Dataset with Answer Plausibility Scores


Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information


Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection


WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images


WuYun: Exploring hierarchical skeleton-guided melody generation using knowledge-enhanced deep learning


WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks


WyCryst: Wyckoff Inorganic Crystal Generator Framework


WyckoffDiff -- A Generative Diffusion Model for Crystal Symmetry


Wyner-Ziv Estimators for Distributed Mean Estimation with Side Information and Optimization


X Hacking: The Threat of Misguided AutoML


X as Supervision: Contending with Depth Ambiguity in Unsupervised Monocular 3D Pose Estimation


X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks


X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition


X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance


X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection


X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Multi-Turn Jailbreaks without Compromising Usability


X-CAL: Explicit Calibration for Survival Analysis


X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System


X-DECODE: EXtreme Deblurring with Curriculum Optimization and Domain Equalization


X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation


X-Drive: Cross-modality consistent multi-sensor data synthesis for driving scenarios


X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction


X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering


X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography


X-Guard: Multilingual Guard Agent for Content Moderation


X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators


X-IL: Exploring the Design Space of Imitation Learning Policies


X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models


X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning


X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions


X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning


X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner


X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design


X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs


X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering


X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization


X-MOBILITY: End-To-End Generalizable Navigation via World Modeling


X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance


X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360$^{\circ} $ Insufficient RGB-D Views


X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies


X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs


X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary Correction


X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion


X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval


X-Prompt: Multi-modal Visual Prompt for Video Object Segmentation


X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models


X-Pruner: eXplainable Pruning for Vision Transformers


X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation


X-Ray and neutron diffraction patterns of the AlCrTiV high entropy alloy and quaternary Heusler structures


X-Ray to CT Rigid Registration Using Scene Coordinate Regression


X-Ray: A Sequential 3D Representation For Generation


X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray Images


X-SCITLDR: Cross-Lingual Extreme Summarization of Scholarly Documents


X-SRL: A Parallel Cross-Lingual Semantic Role Labeling Dataset


X-Search: Revisiting Private Web Search using Intel SGX


X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification


X-Stance: A Multilingual Multi-Target Dataset for Stance Detection


X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs


X-Vector based voice activity detection for multi-genre broadcast speech-to-text


X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events


X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System


X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension


X-ray Emission Signatures of Neutron Star Mergers


X-ray Image Generation as a Method of Performance Prediction for Real-Time Inspection: a Case Study


X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation


X-ray Searches for Axions from Super Star Clusters


X-ray amplification from a Raman Free Electron Laser


X-ray and Visible Spectra Circular Motion Images Dataset


X-ray irradiation and evaporation of the four young planets around V1298 Tau


X-ray spectral modelling of the AGN obscuring region in the CDFS: Bayesian model selection and catalogue


X-ray variability of the triplet star system LTT1445 and evaporation history of the exoplanets around its A component


X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning


X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid Imitation


X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks


X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillation


X2Parser: Cross-Lingual and Cross-Domain Framework for Task-Oriented Compositional Semantic Parsing


X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge Transfer


XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning


XAI for In-hospital Mortality Prediction via Multimodal ICU Data


XAI for Transformers: Better Explanations through Conservative Propagation


XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament


XAI-Based Detection of Adversarial Attacks on Deepfake Detectors


XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees


XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance


XAI-based Feature Ensemble for Enhanced Anomaly Detection in Autonomous Driving Systems


XAI-based Feature Selection for Improved Network Intrusion Detection Systems


XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines


XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners


XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units


XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples


XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates


XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages


XAttention: Block Sparse Attention with Antidiagonal Scoring


XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning


XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage


XBG: End-to-end Imitation Learning for Autonomous Behaviour in Human-Robot Interaction and Collaboration


XBound-Former: Toward Cross-scale Boundary Modeling in Transformers


XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans


XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service


XCon: Learning with Experts for Fine-grained Category Discovery


XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction


XDA: Accurate, Robust Disassembly with Transfer Learning


XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System


XDO: A Double Oracle Algorithm for Extensive-Form Games


XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays


XDeep: An Interpretation Tool for Deep Neural Networks


XDementNET: An Explainable Attention Based Deep Convolutional Network to Detect Alzheimer Progression from MRI data


XDoc: Unified Pre-training for Cross-Format Document Understanding


XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection


XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification


XERUS: An open-source tool for quick XRD phase identification and refinement automation


XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach


XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments


XFEVER: Exploring Fact Verification across Languages


XFL: A High Performace, Lightweighted Federated Learning Framework


XFLUIDS: A SYCL-based unified cross-architecture heterogeneous simulation solver for compressible reacting flows


XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification


XFORMAL: A Benchmark for Multilingual Formality Style Transfer


XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts


XFlow: Benchmarking Flow Behaviors over Graphs


XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model


XGBD: Explanation-Guided Graph Backdoor Detection


XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning


XGSwap: eXtreme Gradient boosting Swap for Routing in NISQ Devices


XGrad: Boosting Gradient-Based Optimizers With Weight Prediction


XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation


XIRL: Cross-embodiment Inverse Reinforcement Learning


XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning


XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags


XL-NBT: A Cross-lingual Neural Belief Tracking Framework


XLB: A differentiable massively parallel lattice Boltzmann library in Python


XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence


XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond


XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection


XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder


XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction


XLuminA: An Auto-differentiating Discovery Framework for Super-Resolution Microscopy


XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark


XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning


XMainframe: A Large Language Model for Mainframe Modernization


XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation


XMem++: Production-level Video Segmentation From Few Annotated Frames


XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model


XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection


XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention


XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP


XNAT-PIC: Extending XNAT to Preclinical Imaging Centers


XNB: Explainable Class-Specific NaIve-Bayes Classifier


XNLIeu: a dataset for cross-lingual NLI in Basque


XNet v2: Fewer Limitations, Better Results and Greater Universality


XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification


XPASC: Measuring Generalization in Weak Supervision by Explainability and Association


XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution


XPath Agent: An Efficient XPath Programming Agent Based on LLM for Web Crawler


XPersona: Evaluating Multilingual Personalized Chatbot


XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing


XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech


XPoint: A Self-Supervised Visual-State-Space based Architecture for Multispectral Image Registration


XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking


XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation


XRDSLAM: A Flexible and Modular Framework for Deep Learning based SLAM


XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses


XRFlux: Virtual Reality Benchmark for Edge Caching Systems


XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning


XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques


XRP-NDN Overlay: Improving the Communication Efficiency of Consensus-Validation based Blockchains with an NDN Overlay


XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model


XRec: Large Language Models for Explainable Recommendation


XRoute Environment: A Novel Reinforcement Learning Environment for Routing


XSS Adversarial Attacks Based on Deep Reinforcement Learning: A Replication and Extension Study


XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models


XSkill: Cross Embodiment Skill Discovery


XTANT-3: X-ray-induced Thermal And Nonthermal Transitions in matter: theory, numerical details, user manual


XTENTH-CAR: A Proportionally Scaled Experimental Vehicle Platform for Connected Autonomy and All-Terrain Research


XTQA: Span-Level Explanations of the Textbook Question Answering


XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages


XTS mode revisited: high hopes for key scopes?


XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification


XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications


XTab: Cross-table Pretraining for Tabular Transformers


XTrace: Making the most of every sample in stochastic trace estimation


XTrack: Multimodal Training Boosts RGB-X Video Object Trackers


XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation


XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples


XWSB: A Blend System Utilizing XLS-R and WavLM with SLS Classifier detection system for SVDD 2024 Challenge


XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages


XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation


XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark


Xanthus: Push-button Orchestration of Host Provenance Data Collection


XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection Image


XeroAlign: Zero-Shot Cross-lingual Transformer Alignment


Xformer: Hybrid X-Shaped Transformer for Image Denoising


Xi-Net: Transformer Based Seismic Waveform Reconstructor


XiSort: Deterministic Sorting via IEEE-754 Total Ordering and Entropy Minimization


Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation


Xihe: A 3D Vision-based Lighting Estimation Framework for Mobile Augmented Reality


Xiwu: A Basis Flexible and Learnable LLM for High Energy Physics


XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks


XoFTR: Cross-modal Feature Matching Transformer


Xorbits: Automating Operator Tiling for Distributed Data Science


XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs


Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis


XpookyNet: Advancement in Quantum System Analysis through Convolutional Neural Networks for Detection of Entanglement


XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models


XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors


XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning


XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation


Xu at SemEval-2022 Task 4: Pre-BERT Neural Network Methods vs Post-BERT RoBERTa Approach for Patronizing and Condescending Language Detection


XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library


Y-Autoencoders: disentangling latent representations via sequential-encoding


Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation


Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images


Y-Vector: Multiscale Waveform Encoder for Speaker Embedding


Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing


YAD: Leveraging T5 for Improved Automatic Diacritization of Yorùbá Text


YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy


YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization


YAMLE: Yet Another Machine Learning Environment


YARBUS : Yet Another Rule Based belief Update System


YASMIN: Yet Another State MachINe library for ROS 2


YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews


YASTN: Yet another symmetric tensor networks; A Python library for abelian symmetric tensor network calculations


YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction


YCB-Ev 1.1: Event-vision dataset for 6DoF object pose estimation


YCB-LUMA: YCB Object Dataset with Luminance Keying for Object Localization


YEDDA: A Lightweight Collaborative Text Span Annotation Tool


YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations


YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles


YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis


YOLC: You Only Look Clusters for Tiny Object Detection in Aerial Images


YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices


YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source Detection


YOLO-CCA: A Context-Based Approach for Traffic Sign Detection


YOLO-FaceV2: A Scale and Occlusion Aware Face Detector


YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection


YOLO-OB: An improved anchor-free real-time multiscale colon polyp detector in colonoscopy


YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs


YOLO-Stutter: End-to-end Region-Wise Speech Dysfluency Detection


YOLO-UniOW: Efficient Universal Open-World Object Detection


YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID


YOLO9tr: A Lightweight Model for Pavement Damage Detection Utilizing a Generalized Efficient Layer Aggregation Network and Attention Mechanism


YOLOMG: Vision-based Drone-to-Drone Detection with Appearance and Pixel-Level Motion Fusion


YOLOPoint Joint Keypoint and Object Detection


YOLOv11 Optimization for Efficient Resource Utilization


YOLOv12: Attention-Centric Real-Time Object Detectors


YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images


YOLinO: Generic Single Shot Polyline Detection in Real Time


YOPO-Rally: A Sim-to-Real Single-Stage Planner for Off-Road Terrain


YOPOv2-Tracker: An End-to-End Agile Tracking and Navigation Framework from Perception to Action


YORO -- Lightweight End to End Visual Grounding


YOWOv2: A Stronger yet Efficient Multi-level Detection Framework for Real-time Spatio-temporal Action Detection


YSE-PZ: A Transient Survey Management Platform that Empowers the Human-in-the-Loop


YTCommentQA: Video Question Answerability in Instructional Videos


YUAN 2.0: A Large Language Model with Localized Filtering-based Attention


YUDO: YOLO for Uniform Directed Object Detection


YYDS: Visible-Infrared Person Re-Identification with Coarse Descriptions


YZS-model: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention


Yadism: Yet Another Deep-Inelastic Scattering Module


Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts


Yama: Precise Opcode-based Data Flow Analysis for Detecting PHP Applications Vulnerabilities


Yara Parser: A Fast and Accurate Dependency Parser


Yaw attitudes for BDS-3 IGSO and MEO satellites: estimation, validation and modeling with inter-satellite link observations


Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments


Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor


Yelp Review Rating Prediction: Machine Learning and Deep Learning Models


Yes but.. Can ChatGPT Identify Entities in Historical Documents?


Yes, but Did It Work?: Evaluating Variational Inference


Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers


Yes, this is what I was looking for! Towards Multi-modal Medical Consultation Concern Summary Generation


Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond


YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models


Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalisation of Misinformation Detection Models


Yet Another Format of Universal Dependencies for Korean


Yet Another Tensor Toolbox for discontinuous Galerkin methods and other applications


Yet another DE-Sinc indefinite integration formula


Yet another eigenvalue algorithm for solving polynomial systems


Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting


Yield Stress Fluids Solidifying in Capillary Imbibition


Yin Yang Convolutional Nets: Image Manifold Extraction by the Analysis of Opposites


Yin-Yang: Developing Motifs With Long-Term Structure And Controllability


Yo'LLaVA: Your Personalized Language and Vision Assistant


YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection


YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation


YoloTag: Vision-based Robust UAV Navigation with Fiducial Markers


You Actually Look Twice At it (YALTAi): using an object detection approach instead of region segmentation within the Kraken engine


You Are What You Annotate: Towards Better Models through Annotator Representations


You Can Backdoor Personalized Federated Learning


You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets


You Can Wash Hands Better: Accurate Daily Handwashing Assessment with a Smartwatch


You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning


You Cannot Escape Me: Detecting Evasions of SIEM Rules in Enterprise Networks


You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning


You Do Not Fully Utilize Transformer's Representation Capacity


You Know What I'm Saying: Jailbreak Attack via Implicit Reference


You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects


You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos


You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation


You Only Cache Once: Decoder-Decoder Architectures for Language Models


You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient


You Only Condense Once: Two Rules for Pruning Condensed Datasets