Knowledge distillation to effectively attain both region-of-interest and global semantics from an image where multiple objects appear


Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task


Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis


Knowledge graphs for empirical concept retrieval


Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models


Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models


Knowledge of cultural moral norms in large language models


Knowledge prompt chaining for semantic modeling


Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors


Knowledge-Augmented Language Model Verification


Knowledge-Augmented Language Models for Cause-Effect Relation Classification


Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks


Knowledge-Aware Bayesian Deep Topic Model


Knowledge-Aware Code Generation with Large Language Models


Knowledge-Aware Meta-learning for Low-Resource Text Classification


Knowledge-Aware Neural Networks for Medical Forum Question Classification


Knowledge-Based Dataset for Training PE Malware Detection Models


Knowledge-Based Hierarchical POMDPs for Task Planning


Knowledge-Based Learning of Nonlinear Dynamics and Chaos


Knowledge-Based Matching of $n$-ary Tuples


Knowledge-Based Version Incompatibility Detection for Deep Learning


Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions


Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment


Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering


Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models


Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction


Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives


Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources


Knowledge-Enhanced Dual-stream Zero-shot Composed Image Retrieval


Knowledge-Enhanced Evidence Retrieval for Counterargument Generation


Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation


Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction


Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network


Knowledge-Enhanced Recommendation with User-Centric Subgraph Network


Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations


Knowledge-Grounded Dialogue Generation with Pre-trained Language Models


Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation


Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment Analysis


Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification


Knowledge-Guided Object Discovery with Acquired Deep Impressions


Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review


Knowledge-Informed Neuro-Integrators for Aggregation Kinetics


Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models


Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey


Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction


Knowledge-aware Attention Network for Protein-Protein Interaction Extraction


Knowledge-aware Collaborative Filtering with Pre-trained Language Model for Personalized Review-based Rating Prediction


Knowledge-aware Coupled Graph Neural Network for Social Recommendation


Knowledge-aware Dual-side Attribute-enhanced Recommendation


Knowledge-aware Evolutionary Graph Neural Architecture Search


Knowledge-aware Pronoun Coreference Resolution


Knowledge-aware equation discovery with automated background knowledge extraction


Knowledge-based Analysis for Mortality Prediction from CT Images


Knowledge-based Consistency Testing of Large Language Models


Knowledge-based Deep Learning for Modeling Chaotic Systems


Knowledge-based Integration of Multi-Omic Datasets with Anansi: Annotation-based Analysis of Specific Interactions


Knowledge-based Intent Modeling for Next Generation Cellular Networks


Knowledge-based Transfer Learning Explanation


Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses


Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering


Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning


Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations


Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction


Knowledge-guided Causal Intervention for Weakly-supervised Object Localization


Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning


Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding


Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction


Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models


Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analysing Treatments' Toxicities


KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting


KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server


KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts


Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering


Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases


Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented Generation


Known Unknowns: Uncertainty Quality in Bayesian Neural Networks


Known by the Company it Keeps: Proximity-Based Indexing for Physical Content in Archival Repositories


KoBE: Knowledge-Based Machine Translation Evaluation


KoCHET: a Korean Cultural Heritage corpus for Entity-related Tasks


KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels


KoCoSa: Korean Context-aware Sarcasm Detection Dataset


KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark


KoLA: Carefully Benchmarking World Knowledge of Large Language Models


KoMultiText: Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services


KoParadigm: A Korean Conjugation Paradigm Generator


KoWit-24: A Richly Annotated Dataset of Wordplay in News Headlines


KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding


Kodezi Chronos: A Debugging-First Language Model for Repository-Scale, Memory-Driven Code Understanding


Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics


Kohn-Sham inversion with mathematical guarantees


Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics


Kolmogorov-Arnold Network for Gene Regulatory Network Inference


Kolmogorov-Arnold Network for Online Reinforcement Learning


Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing


Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis


Kolmogorov-Arnold Networks are Radial Basis Function Networks


Kolmogorov-Arnold PointNet: Deep learning for prediction of fluid fields on irregular geometries


Kolya: an open-source package for inclusive semileptonic $B$ decays


KomaMRI.jl: An Open-Source Framework for General MRI Simulations with GPU Acceleration


Komet: A Serverless Platform for Low-Earth Orbit Edge Services


Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning


Koney: A Cyber Deception Orchestration Framework for Kubernetes


Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering


Kontsevich graphs act on Nambu--Poisson brackets, V. Implementation


Koopman Based Trajectory Optimization with Mixed Boundaries


Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees


Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces


Koopman wavefunctions and classical-quantum correlation dynamics


Koopman-Based Learning of Infinitesimal Generators without Operator Logarithm


Koopman-Based Neural Lyapunov Functions for General Attractors


Koopman-Hopf Hamilton-Jacobi Reachability and Control


Koopman-based control of nonlinear systems with closed-loop guarantees


Koopman-inspired Implicit Backward Reachable Sets for Unknown Nonlinear Systems


Koopman-theoretic Approach for Identification of Exogenous Anomalies in Nonstationary Time-series Data


Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Improve Dataset on Hate Speech?


Korean-Specific Dataset for Table Question Answering


Kornia-rs: A Low-Level 3D Computer Vision Library In Rust


Kosmos-2: Grounding Multimodal Large Language Models to the World


Kosmos-G: Generating Images in Context with Multimodal Large Language Models


Kosp2e: Korean Speech to English Translation Corpus


Koszul complexes and relative homological algebra of functors over posets


Kotless: a Serverless Framework for Kotlin


Kov: Transferable and Naturalistic Black-Box LLM Attacks using Markov Decision Processes and Tree Search


KpopMT: Translation Dataset with Terminology for Kpop Fandom


KrADagrad: Kronecker Approximation-Domination Gradient Preconditioned Stochastic Optimization


KrakN: Transfer Learning framework for thin crack detection in infrastructure maintenance


KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes


Kratos: An FPGA Benchmark for Unrolled DNNs with Fine-Grained Sparsity and Mixed Precision


Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages


Kronecker Mask and Interpretive Prompts are Language-Action Video Learners


Kronecker Product of Tensors and Hypergraphs: Structure and Dynamics


Kronecker-structured Sparse Vector Recovery with Application to IRS-MIMO Channel Estimation


Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning


Kruskal-Wallis Power Studies Utilizing Bernstein Distributions; preliminary empirical studies using simulations/medical studies


Krutrim LLM: Multilingual Foundational Model for over a Billion People


Kryging: Geostatistical analysis of large-scale datasets using Krylov subspace methods


Krylov Spread Complexity of Quantum-Walks


Krylov Subspace Recycling For Matrix Functions


Krylov subspace restarting for matrix Laplace transforms


KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments


Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation


KréyoLID From Language Identification Towards Language Mining


KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos


KuaiSim: A Comprehensive Simulator for Recommender Systems


Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia


KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes


KubeFence: Security Hardening of the Kubernetes Attack Surface


Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards


Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation


KunquDB: An Attempt for Speaker Verification in the Chinese Opera Scenario


KuraNet: Systems of Coupled Oscillators that Learn to Synchronize


Kurdish (Sorani) Speech to Text: Presenting an Experimental Dataset


Kurdish Handwritten Character Recognition using Deep Learning Techniques


Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping


KutralNet: A Portable Deep Learning Model for Fire Recognition


Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy


Kvasir-VQA: A Text-Image Pair GI Tract Dataset


Kvistur 2.0: a BiLSTM Compound Splitter for Icelandic


KwARG: Parsimonious reconstruction of ancestral recombination graphs with recurrent mutation


KwaiAgents: Generalized Information-seeking Agent System with Large Language Models


KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus


KwicKwocKwac, a tool for rapidly generating concordances and marking up a literary text


Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding


L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling


L$_0$onie: Compressing COINs with L$_0$-constraints


L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks


L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference


L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRI


L-CiteEval: Do Long-Context Models Truly Leverage Context for Responding?


L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning


L-Estimation in Instrumental Variables Regression for Censored Data in Presence of Endogeneity and Dependent Errors


L-GreCo: Layerwise-Adaptive Gradient Compression for Efficient and Accurate Deep Learning


L-MAGIC: Language Model Assisted Generation of Images with Coherence


L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging


L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data


L-SpEx: Localized Target Speaker Extraction


L-TUNING: Synchronized Label Tuning for Prompt and Prefix in LLMs


L-Verse: Bidirectional Generation Between Image and Text


L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement


L-space satellite operators and knot Floer homology


L-types for resource aware languages: an implicit name approach


L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution


L0: Reinforcement Learning to Become General Agents


L1 Prominence Measures for Directed Graphs


L1 penalization of volumetric dose objectives in optimal control of PDEs


L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework


L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery


L2B: Learning to Bootstrap Robust Models for Combating Label Noise


L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras


L2Explorer: A Lifelong Reinforcement Learning Assessment Environment


L2Fuzz: Discovering Bluetooth L2CAP Vulnerabilities Using Stateful Fuzz Testing


L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders


L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation


L2O-$g^{\dagger}$: Learning to Optimize Parameterized Quantum Circuits with Fubini-Study Metric Tensor


L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes


L2R2: Leveraging Ranking for Abductive Reasoning


L2XGNN: Learning to Explain Graph Neural Networks


L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization


L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training


L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models


L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing


L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment


L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space


L3GS: Layered 3D Gaussian Splats for Efficient 3D Scene Delivery


L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression


L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection


L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control


LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network


LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection


LAAT: Locally Aligned Ant Technique for discovering multiple faint low dimensional structures of varying density


LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal


LAB: Learnable Activation Binarizer for Binary Neural Networks


LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms


LAC : LSTM AUTOENCODER with Community for Insider Threat Detection


LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models


LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following


LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLAD


LADA: Scalable Label-Specific CLIP Adapter for Continual Learning


LADDER: Latent Boundary-guided Adversarial Training


LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications


LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion


LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Data


LAEO-Net++: revisiting people Looking At Each Other in videos


LAEO-Net: revisiting people Looking At Each Other in videos


LAFEAT: Piercing Through Adversarial Defenses with Latent Features


LAFITE: Towards Language-Free Training for Text-to-Image Generation


LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation


LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition


LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning


LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems


LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations


LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion


LAMBERT: Layout-Aware (Language) Modeling for information extraction


LAMBench: A Benchmark for Large Atomic Models


LAMDA-SSL: Semi-Supervised Learning in Python


LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis


LAMM: Label Alignment for Multi-Modal Prompt Learning


LAMOL: LAnguage MOdeling for Lifelong Language Learning


LAMP: Extracting Text from Gradients with Language Model Priors


LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation


LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation


LAMP: Leveraging Language Prompts for Multi-person Pose Estimation


LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training


LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification


LAMSkyCam: A Low-cost and Miniature Ground-based Sky Camera


LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction


LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection


LAN: Learning to Adapt Noise for Image Denoising


LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences


LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images


LANID: LLM-assisted New Intent Discovery


LANISTR: Multimodal Learning from Structured and Unstructured Data


LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data


LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction


LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables


LAPIS is a fast web API for massive open virus sequencing databases


LAPIS: A novel dataset for personalized image aesthetic assessment


LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction


LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models


LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model


LARCH: Large Language Model-based Automatic Readme Creation with Heuristics


LARF: Two-level Attention-based Random Forests with a Mixture of Contamination Models


LARGE: Latent-Based Regression through GAN Semantics


LARGE: Legal Retrieval Augmented Generation Evaluation Tool


LARNet: Latent Action Representation for Human Action Synthesis


LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping


LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation


LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rules


LAS-AT: Adversarial Training with Learnable Attack Strategy


LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models


LASE: Learned Adjacency Spectral Embeddings


LASED: A Laser-Atom Interaction Simulator derived from Quantum Electrodynamics


LASER: LAtent SpacE Rendering for 2D Visual Localization


LASER: LLM Agent with State-Space Exploration for Web Navigation


LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks


LASER: Lightweight And SEcure Remote keyless entry protocol (Extended version)


LASER: Lip Landmark Assisted Speaker Detection for Robustness


LASER: Script Execution by Autonomous Agents for On-demand Traffic Simulation


LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection


LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation


LASMP: Language Aided Subset Sampling Based Motion Planner


LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering


LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models


LASR: Learning Articulated Shape Reconstruction from a Monocular Video


LASSO-ODE: A framework for mechanistic model identifiability and selection in disease transmission modeling


LAST: Latent Space Assisted Adaptive Sampling for Protein Trajectories


LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits


LATE Ain'T Earley: A Faster Parallel Earley Parser


LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF


LATMOS: Latent Automaton Task Model from Observation Sequences


LATR: 3D Lane Detection from Monocular Images with Transformer


LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records


LAVA: Data Valuation without Pre-Specified Learning Algorithms


LAVA: Label-efficient Visual Learning and Adaptation


LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags


LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling


LAVIB: A Large-scale Video Interpolation Benchmark


LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models


LAVT: Language-Aware Vision Transformer for Referring Image Segmentation


LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation


LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks


LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints


LAiW: A Chinese Legal Large Language Models Benchmark


LB-CNN: An Open Source Framework for Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy


LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications


LBC: Language-Based-Classifier for Out-Of-Variable Generalization


LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm


LBL: Logarithmic Barrier Loss Function for One-class Classification


LBM: Latent Bridge Matching for Fast Image-to-Image Translation


LBONet: Supervised Spectral Descriptors for Shape Analysis


LBfoam: An open-source software package for the simulation of foaming using the Lattice Boltzmann Method


LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network


LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies


LCCM-VC: Learned Conditional Coding Modes for Video Compression


LCCNet: LiDAR and Camera Self-Calibration using Cost Volume Network


LCD -- Line Clustering and Description for Place Recognition


LCD-Net: A Lightweight Remote Sensing Change Detection Network Combining Feature Fusion and Gating Mechanism


LCD: Learned Cross-Domain Descriptors for 2D-3D Matching


LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought


LCDC: Bridging Science and Machine Learning for Light Curve Analysis


LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM


LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution


LCE: An Augmented Combination of Bagging and Boosting in Python


LCEval: Learned Composite Metric for Caption Evaluation


LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling


LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion


LCP-Fusion: A Neural Implicit SLAM with Enhanced Local Constraints and Computable Prior


LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition


LCQPow -- A Solver for Linear Complementarity Quadratic Programs


LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space


LCS Tool : A Computational Platform for Lagrangian Coherent Structures


LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation


LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time


LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution


LCSim: A Large-Scale Controllable Traffic Simulator


LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification


LCTG Bench: LLM Controlled Text Generation Benchmark


LD-DETR: Loop Decoder DEtection TRansformer for Video Moment Retrieval and Highlight Detection


LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling


LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable Attention


LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics


LDFA: Latent Diffusion Face Anonymization for Self-driving Applications


LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring


LDIR: Low-Dimensional Dense and Interpretable Text Embeddings with Relative Representations


LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images


LDM-Morph: Latent diffusion model guided deformable image registration


LDM: Large Tensorial SDF Model for Textured Mesh Generation


LDMol: Text-to-Molecule Diffusion Model with Structurally Informative Latent Space


LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech


LDPTrace: Locally Differentially Private Trajectory Synthesis


LDRNet: Enabling Real-time Document Localization on Mobile Devices


LDReg: Local Dimensionality Regularized Self-Supervised Learning


LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation


LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion Planning


LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias


LEACE: Perfect linear concept erasure in closed form


LEACH-RLC: Enhancing IoT Data Transmission with Optimized Clustering and Reinforcement Learning


LEAD Dataset: How Can Labels for Sound Event Detection Vary Depending on Annotators?


LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial Buildings


LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning


LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection


LEAD: Learning Decomposition for Source-free Universal Domain Adaptation


LEAD: Min-Max Optimization from a Physical Perspective


LEADS: Learning Dynamical Systems that Generalize Across Environments


LEADS: Lightweight Embedded Assisted Driving System


LEAF: Simulating Large Energy-Aware Fog Computing Environments


LEAF: Unveiling Two Sides of the Same Coin in Semi-supervised Facial Expression Recognition


LEAM: A Prompt-only Large Language Model-enabled Antenna Modeling Method


LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection


LEAN: graph-based pruning for convolutional neural networks by extracting longest chains


LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry


LEAP: Efficient and Automated Test Method for NLP Software


LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data


LEAP: Learnable Pruning for Transformer-based Models


LEAP: Learning Articulated Occupancy of People


LEAP: Liberate Sparse-view 3D Modeling from Camera Poses


LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT


LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning


LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application


LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation


LEASE: Offline Preference-based Reinforcement Learning with High Sample Efficiency


LEAST: "Local" text-conditioned image style transfer


LEAVEN -- Lightweight Surface and Volume Mesh Sampling Application for Particle-based Simulations


LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward


LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation


LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering


LED: A Dataset for Life Event Extraction from Dialogs


LED: Light Enhanced Depth Estimation at Night


LEDNet: Joint Low-light Enhancement and Deblurring in the Dark


LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog Circuits


LEEC: A Legal Element Extraction Dataset with an Extensive Domain-Specific Label System


LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systems


LEFL: Low Entropy Client Sampling in Federated Learning


LEFM-Nets: Learnable Explicit Feature Map Deep Networks for Segmentation of Histopathological Images of Frozen Sections


LEFormer: A Hybrid CNN-Transformer Architecture for Accurate Lake Extraction from Remote Sensing Imagery


LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering


LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions by Leveraging Human Perceptual Judgements


LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR


LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss


LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection


LEGO-Learn: Label-Efficient Graph Open-Set Learning


LEGO-Prover: Neural Theorem Proving with Growing Libraries


LEGOBench: Scientific Leaderboard Generation Benchmark


LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing


LEGOStore: A Linearizable Geo-Distributed Store Combining Replication and Erasure Coding


LEGO_HQEC: A Software Tool for Analyzing Holographic Quantum Codes


LEI2JSON: Schema-based Validation and Conversion of Livestock Event Information


LEI: Livestock Event Information Schema for Enabling Data Sharing


LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation


LEIT-motifs: Scalable Motif Mining in Multidimensional Time Series


LEMDA: A Lagrangian-Eulerian Multiscale Data Assimilation Framework


LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities


LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions


LEMMA: Learning from Errors for MatheMatical Advancement in LLMs


LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation


LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World


LEMURS: Learning Distributed Multi-Robot Interactions


LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction


LENS: A Learnable Evaluation Metric for Text Simplification


LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection


LEO: Boosting Mixture of Vision Encoders for Multimodal Large Language Models


LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams


LEOD: Label-Efficient Object Detection for Event Cameras


LEROjD: Lidar Extended Radar-Only Object Detection


LERT: A Linguistically-motivated Pre-trained Language Model


LES-SINDy: Laplace-Enhanced Sparse Identification of Nonlinear Dynamical Systems


LES3: Learning-based Exact Set Similarity Search


LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content


LESS: Label-Efficient and Single-Stage Referring 3D Segmentation


LESS: Selecting Influential Data for Targeted Instruction Tuning


LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework


LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection


LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching


LETS Forecast: Learning Embedology for Time Series Forecasting


LEVEN: A Large-Scale Chinese Legal Event Detection Dataset


LEVER: Learning to Verify Language-to-Code Generation with Execution


LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer


LEXI: Large Language Models Experimentation Interface


LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain


LEXpander: applying colexification networks to automated lexicon expansion


LExCI: A Framework for Reinforcement Learning with Embedded Systems


LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye Images


LF-PGVIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras using Points and Geodesic Segments


LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models


LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane


LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition


LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image


LF-checker: Machine Learning Acceleration of Bounded Model Checking for Concurrency Verification (Competition Contribution)


LFACon: Introducing Anglewise Attention to No-Reference Quality Assessment in Light Field Space


LFED: A Literary Fiction Evaluation Dataset for Large Language Models


LFG: A Generative Network for Real-Time Recommendation


LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization


LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5


LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning


LFS-Aware Surface Reconstruction from Unoriented 3D Point Clouds


LFS-GAN: Lifelong Few-Shot Image Generation


LFSRDiff: Light Field Image Super-Resolution via Diffusion Models


LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection


LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters


LFZip: Lossy compression of multivariate floating-point time series data via improved prediction


LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising


LG4AV: Combining Language Models and Graph Neural Networks for Author Verification


LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews


LGD-GCN: Local and Global Disentangled Graph Convolutional Networks


LGD: Label-guided Self-distillation for Object Detection


LGDE: Local Graph-based Dictionary Expansion


LGEM$^\text{+}$: a first-order logic framework for automated improvement of metabolic network models through abduction


LGFCTR: Local and Global Feature Convolutional Transformer for Image Matching


LGIN: Defining an Approximately Powerful Hyperbolic GNN


LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation


LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning


LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement


LGMRec: Local and Global Graph Learning for Multimodal Recommendation


LGN-Net: Local-Global Normality Network for Video Anomaly Detection


LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images


LGR-MPC: A user-friendly software based on Legendre-Gauss-Radau pseudo spectral method for solving Model Predictive Control problems


LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos


LGSDF: Continual Global Learning of Signed Distance Fields Aided by Local Updating


LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving


LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network


LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model


LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAM


LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning


LHC Study of Third-Generation Scalar Leptoquarks with Machine-Learned Likelihoods


LHC analysis-specific datasets with Generative Adversarial Networks


LHCO_reader: A new code for reading and analyzing detector-level events stored in LHCO format


LHDR: HDR Reconstruction for Legacy Content using a Lightweight DNN


LHM: Large Animatable Human Reconstruction Model from a Single Image in Seconds


LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments


LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Point Cloud Heat Map


LHT: Statistically-Driven Oblique Decision Trees for Interpretable Classification


LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation


LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition


LIAM: Multimodal Transformer for Language Instructions, Images, Actions and Semantic Maps


LIBAMI: Implementation of Algorithmic Matsubara Integration


LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models


LIBRA: Enabling Workload-aware Multi-dimensional Network Topology Optimization for Distributed Training of Large AI Models


LIBTwinSVM: A Library for Twin Support Vector Machines


LIDA: Lightweight Interactive Dialogue Annotator


LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum Training


LIDIA: Lightweight Learned Image Denoising with Instance Adaptation


LIDIOMS: A Multilingual Linked Idioms Data Set


LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood


LIEDER: Linguistically-Informed Evaluation for Discourse Entity Recognition


LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios


LIFEBench: Evaluating Length Instruction Following in Large Language Models


LIFI: Towards Linguistically Informed Frame Interpolation


LIFT+: Lightweight Fine-Tuning for Long-Tail Learning


LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks


LIFT: Learned Invariant Feature Transform


LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector


LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos


LIGHTHOUSE: Fast and precise distance to shoreline calculations from anywhere on earth


LIKO: LiDAR, Inertial, and Kinematic Odometry for Bipedal Robots


LILA-BOTI : Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting Recognition


LILAC: Log Parsing using LLMs with Adaptive Parsing Cache


LILO: Learning Interpretable Libraries by Compressing and Documenting Code


LIMDD: A Decision Diagram for Simulation of Quantum Computing Including Stabilizer States


LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object Detection


LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning


LIME: Weakly-Supervised Text Classification Without Seeds


LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations


LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages


LIMO: Latent Inceptionism for Targeted Molecule Generation


LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling


LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking


LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction


LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis


LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers


LINE: Loop Integrals Numerical Evaluation


LINEA: Fast and Accurate Line Detection Using Scalable Transformers


LINEAGEX: A Column Lineage Extraction System for SQL


LINFA: a Python library for variational inference with normalizing flow and annealing


LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low-Resource and Extinct Languages


LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning


LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design


LINN: Lifting Inspired Invertible Neural Network for Image Denoising


LINNA: Likelihood Inference Neural Network Accelerator


LINSCAN -- A Linearity Based Clustering Algorithm


LINSPECTOR: Multilingual Probing Tasks for Word Representations


LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters


LIO-GVM: an Accurate, Tightly-Coupled Lidar-Inertial Odometry with Gaussian Voxel Map


LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking


LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping


LION: Linear Group RNN for 3D Object Detection in Point Clouds


LIONs: An Empirically Optimized Approach to Align Language Models


LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading


LIR-LIVO: A Lightweight,Robust LiDAR/Vision/Inertial Odometry with Illumination-Resilient Deep Features


LIR: A Lightweight Baseline for Image Restoration


LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search


LIRE: listwise reward enhancement for preference alignment


LIREx: Augmenting Language Inference with Relevant Explanation


LISA: Learning Interpretable Skill Abstractions from Language


LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data


LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks


LISBET: a machine learning model for the automatic segmentation of social behavior motifs


LISO: Lidar-only Self-Supervised 3D Object Detection


LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction


LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring


LITA: Language Instructed Temporal-Localization Assistant


LITE: A Paradigm Shift in Multi-Object Tracking with Efficient ReID Feature Integration


LITE: Efficiently Estimating Gaussian Probability of Maximality


LITE: LLM-Impelled efficient Taxonomy Evaluation


LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models


LITS.jl -- An Open-Source Julia based Simulation Toolbox for Low-Inertia Power Systems


LIUM Machine Translation Systems for WMT17 News Translation Task


LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering


LIV: Language-Image Representations and Rewards for Robotic Control


LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types


LIVE: Learnable In-Context Vector for Visual Question Answering


LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis


LKA: Large Kernel Adapter for Enhanced Medical Image Classification


LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution Kernels


LKD-Net: Large Kernel Convolution Network for Single Image Dehazing


LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution


LKPNR: LLM and KG for Personalized News Recommendation Framework


LL(1) Parsing with Derivatives and Zippers


LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics


LL-Localizer: A Life-Long Localization System based on Dynamic i-Octree


LLA-MPC: Fast Adaptive Control for Autonomous Racing


LLA: Loss-aware Label Assignment for Dense Pedestrian Detection


LLAMAPIE: Proactive In-Ear Conversation Assistants


LLAMP: Assessing Network Latency Tolerance of HPC Applications with Linear Programming


LLAssist: Simple Tools for Automating Literature Review Using Large Language Models


LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes


LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion


LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement


LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks


LLM A*: Human in the Loop Large Language Models Enabled A* Search for Robotics


LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Models


LLM Augmentations to support Analytical Reasoning over Multiple Documents


LLM Based Multi-Agent Generation of Semi-structured Documents from Semantic Templates in the Public Administration Domain


LLM Benchmarking with LLaMA2: Evaluating Code Development Performance Across Multiple Programming Languages


LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts


LLM Chain Ensembles for Scalable and Accurate Data Annotation


LLM Cognitive Judgements Differ From Human


LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models


LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback


LLM Cyber Evaluations Don't Capture Real-World Risk


LLM Dataset Inference: Did you train on my dataset?


LLM Detectors Still Fall Short of Real World: Case of LLM-Generated Short News-Like Posts


LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play


LLM Echo Chamber: personalized and automated disinformation


LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis


LLM Embeddings Improve Test-time Adaptation to Tabular $Y|X$-Shifts


LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models


LLM Guided Evolution - The Automation of Models Advancing Models


LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation


LLM Harmony: Multi-Agent Communication for Problem Solving


LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot Systems


LLM Inference Enhanced by External Knowledge: A Survey


LLM Internal States Reveal Hallucination Risk Faced With a Query


LLM Knows Geometry Better than Algebra: Numerical Understanding of LLM-Based Agents in A Trading Arena


LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples


LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study


LLM Performance Predictors are good initializers for Architecture Search


LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins


LLM Post-Training: A Deep Dive into Reasoning Large Language Models


LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models


LLM Robustness Against Misinformation in Biomedical Question Answering


LLM Roleplay: Simulating Human-Chatbot Interaction


LLM Safety Alignment is Divergence Estimation in Disguise


LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked


LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History


LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification


LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks


LLM Voting: Human Choices and AI Collective Decision Making


LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery


LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model


LLM as Effective Streaming Processor: Bridging Streaming-Batch Mismatches with Group Position Encoding


LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models


LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs


LLM as a Broken Telephone: Iterative Generation Distorts Information


LLM as a Complementary Optimizer to Gradient Descent: A Case Study in Prompt Tuning


LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins


LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Dataset


LLM with Relation Classifier for Document-Level Relation Extraction


LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language


LLM+P: Empowering Large Language Models with Optimal Planning Proficiency


LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning


LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments


LLM-AutoDiff: Auto-Differentiate Any LLM Workflow


LLM-BABYBENCH: Understanding and Evaluating Grounded Planning and Reasoning in LLMs


LLM-BSCVM: An LLM-Based Blockchain Smart Contract Vulnerability Management Framework


LLM-BT: Performing Robotic Adaptive Tasks based on Large Language Models and Behavior Trees


LLM-Barber: Block-Aware Rebuilder for Sparsity Mask in One-Shot for Large Language Models


LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay


LLM-Based Evaluation of Low-Resource Machine Translation: A Reference-less Dialect Guided Approach with a Refined Sylheti-English Benchmark


LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications


LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models


LLM-DSE: Searching Accelerator Parameters with LLM Agents


LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning


LLM-Driven Multi-step Translation from C to Rust using Static Analysis


LLM-Driven Usefulness Judgment for Web Search Evaluation


LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics


LLM-Empowered State Representation for Reinforcement Learning


LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation


LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations


LLM-Explorer: Towards Efficient and Affordable LLM-based Exploration for Mobile Apps


LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers


LLM-First Search: Self-Guided Exploration of the Solution Space


LLM-GLOBE: A Benchmark Evaluating the Cultural Values Embedded in LLM Output


LLM-Generated Black-box Explanations Can Be Adversarially Helpful


LLM-Generated Feedback Supports Learning If Learners Choose to Use It


LLM-Generated Microservice Implementations from RESTful API Definitions


LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent


LLM-Human Pipeline for Cultural Context Grounding of Conversations


LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators


LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization


LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research


LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting


LLM-OptiRA: LLM-Driven Optimization of Resource Allocation for Non-Convex Problems in Wireless Communications


LLM-PBE: Assessing Data Privacy in Large Language Models


LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization


LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services


LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient


LLM-Powered CPI Prediction Inference with Online Text Time Series


LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects


LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination


LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs


LLM-Powered User Simulator for Recommender System


LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions


LLM-Pruner: On the Structural Pruning of Large Language Models


LLM-PySC2: Starcraft II learning environment for Large Language Models


LLM-QFL: Distilling Large Language Model for Quantum Federated Learning


LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency


LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts


LLM-Rank: A Graph Theoretical Approach to Pruning Large Language Models


LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking


LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts


LLM-SAP: Large Language Models Situational Awareness Based Planning


LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?


LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models


LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning


LLM-Sketch: Enhancing Network Sketches with LLM


LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection


LLM-Supported Natural Language to Bash Translation


LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease


LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity


LLM-TabFlow: Synthetic Tabular Data Generation with Inter-column Logical Relationship Preservation


LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models


LLM-as-BT-Planner: Leveraging LLMs for Behavior Tree Generation in Robot Task Planning


LLM-as-a-Fuzzy-Judge: Fine-Tuning Large Language Models as a Clinical Evaluation Judge with Fuzzy Logic


LLM-as-a-Judge: Reassessing the Performance of LLMs in Extractive QA


LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT


LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation


LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation


LLM-based Frameworks for Power Engineering from Routine to Novel Tasks


LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic Context


LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements


LLM-based Interactive Imitation Learning for Robotic Manipulation


LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination


LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code


LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs


LLM-based event abstraction and integration for IoT-sourced logs


LLM-based feature generation from text for interpretable machine learning


LLM-based multi-agent poetry generation in non-cooperative environments


LLM-based speaker diarization correction: A generalizable approach


LLM-driven Multimodal Target Volume Contouring in Radiation Oncology


LLM-e Guess: Can LLMs Capabilities Advance Without Hardware Progress?


LLM-enhanced Self-training for Cross-domain Constituency Parsing


LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models


LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention Maps


LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis


LLM-powered Data Augmentation for Enhanced Cross-lingual Performance


LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System


LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension


LLM2: Let Large Language Models Harness System 2 Reasoning


LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation


LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language Models


LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement


LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation


LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs


LLM360: Towards Fully Transparent Open-Source LLMs


LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning


LLM4AD: A Platform for Algorithm Design with Large Language Model


LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis


LLM4CP: Adapting Large Language Models for Channel Prediction


LLM4Drive: A Survey of Large Language Models for Autonomous Driving


LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?


LLM4ED: Large Language Models for Automatic Equation Discovery


LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation


LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction


LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems


LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking


LLM4SR: A Survey on Large Language Models for Scientific Research


LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters


LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation


LLM4Vis: Explainable Visualization Recommendation using ChatGPT


LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking


LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments


LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit


LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment


LLMCRIT: Teaching Large Language Models to Use Criteria


LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models


LLMChain: Blockchain-based Reputation System for Sharing and Evaluating Large Language Models


LLMDFA: Analyzing Dataflow in Code with Large Language Models


LLMDR: LLM-Driven Deadlock Detection and Resolution in Multi-Agent Pathfinding


LLMDet: A Third Party Large Language Models Generated Text Detection Tool


LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models


LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models


LLMEasyQuant: Scalable Quantization for Parallel and Distributed LLM Inference


LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models


LLMEmbed: Rethinking Lightweight LLM's Genuine Function in Text Classification


LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation


LLMGA: Multimodal Large Language Model based Generation Assistant


LLMGeo: Benchmarking Large Language Models on Image Geolocation In-the-wild


LLMLight: Large Language Models as Traffic Signal Control Agents


LLMMaps -- A Visual Metaphor for Stratified Evaluation of Large Language Models


LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch


LLMPC: Large Language Model Predictive Control


LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing


LLMPerf: GPU Performance Modeling meets Large Language Models


LLMPot: Dynamically Configured LLM-based Honeypot for Industrial Protocol and Physical Process Emulation


LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts


LLMRec: Large Language Models with Graph Augmentation for Recommendation


LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning


LLMSat: A Large Language Model-Based Goal-Oriented Agent for Autonomous Space Exploration


LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation


LLMSecCode: Evaluating Large Language Models for Secure Coding


LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations


LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale


LLMThinkBench: Towards Basic Math Reasoning and Overthinking in Large Language Models


LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations


LLMVA-GEBC: Large Language Model with Video Adapter for Generic Event Boundary Captioning


LLMaAA: Making Large Language Models as Active Annotators


LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge


LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization


LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking


LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs


LLMmap: Fingerprinting For Large Language Models


LLMorpheus: Mutation Testing using Large Language Models


LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs


LLMs Are Few-Shot In-Context Low-Resource Language Learners


LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs


LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based Methods


LLMs Are Zero-Shot Context-Aware Simultaneous Translators


LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing


LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline


LLMs Can Evolve Continually on Modality for X-Modal Reasoning


LLMs Can Simulate Standardized Patients via Agent Coevolution


LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers


LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks


LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge


LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges


LLMs Could Autonomously Learn Without External Supervision


LLMs Get Lost In Multi-Turn Conversation


LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation


LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction


LLMs Meet Multimodal Generation and Editing: A Survey


LLMs Model Non-WEIRD Populations: Experiments with Synthetic Cultural Agents


LLMs and Memorization: On Quality and Specificity of Copyright Compliance


LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust


LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation


LLMs are Bug Replicators: An Empirical Study on LLMs' Capability in Completing Bug-prone Code


LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments


LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment Reports


LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond


LLMs as Meta-Reviewers' Assistants: A Case Study


LLMs as Method Actors: A Model for Prompt Engineering and Architecture


LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions


LLMs can Perform Multi-Dimensional Analytic Writing Assessments: A Case Study of L2 Graduate-Level Academic English Writing


LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models


LLMs can see and hear without any training


LLMs cannot find reasoning errors, but can correct them given the error location


LLMs for Cold-Start Cutting Plane Separator Configuration


LLMs for Extremely Low-Resource Finno-Ugric Languages


LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study


LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities


LLMs for Science: Usage for Code Generation and Data Analysis


LLMs for sensory-motor control: Combining in-context and iterative learning


LLMs generate structurally realistic social networks but overestimate political homophily


LLMs in Biomedicine: A study on clinical Named Entity Recognition


LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and Limitations


LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error


LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages


LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks


LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law


LLMs' Classification Performance is Overclaimed


LLMs' morphological analyses of complex FST-generated Finnish words


LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods


LLMs4Life: Large Language Models for Ontology Learning in Life Sciences


LLMs4OL: Large Language Models for Ontology Learning


LLMs4OM: Matching Ontologies with Large Language Models


LLMs4SchemaDiscovery: A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models


LLMsAgainstHate @ NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs


LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization


LLT: An R package for Linear Law-based Feature Space Transformation


LLVMs4Protest: Harnessing the Power of Large Language and Vision Models for Deciphering Protests in the News


LLaMA Pro: Progressive LLaMA with Block Expansion


LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training


LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis


LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models


LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments


LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages


LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms


LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation


LLaMo: Large Language Model-based Molecular Graph Assistant


LLaRA: Large Language-Recommendation Assistant


LLaRA: Supercharging Robot Learning Data for Vision-Language Policy


LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone Sensors


LLaSA: Large Language and E-Commerce Shopping Assistant


LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement


LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models


LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies


LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering


LLaVA-Chef: A Multi-modal Generative Model for Food Recipes


LLaVA-CoT: Let Vision Language Models Reason Step-by-Step


LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models


LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval


LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token


LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation


LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents


LLaVA-Pose: Enhancing Human Pose and Action Understanding via Keypoint-Integrated Instruction Tuning


LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification


LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs


LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding


LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs


LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations


LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description


LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding


LLaVAction: evaluating and training multi-modal large language models for action recognition


LLamol: A Dynamic Multi-Conditional Generative Transformer for De Novo Molecular Design


LLark: A Multimodal Instruction-Following Language Model for Music


LLatrieval: LLM-Verified Retrieval for Verifiable Generation


LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection Method


LM-CORE: Language Models with Contextually Relevant External Knowledge


LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning


LM-Combiner: A Contextual Rewriting Model for Chinese Grammatical Error Correction


LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models


LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model


LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models


LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action


LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation


LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection


LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence


LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition


LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting


LMD: Faster Image Reconstruction with Latent Masking Diffusion


LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds


LMDrive: Closed-Loop End-to-End Driving with Large Language Models


LMEC: Learnable Multiplicative Absolute Position Embedding Based Conformer for Speech Recognition


LMEMs for post-hoc analysis of HPO Benchmarking


LMEraser: Large Model Unlearning through Adaptive Prompt Tuning


LMEye: An Interactive Perception Network for Large Language Models


LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification


LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze Dataset


LML-DAP: Language Model Learning a Dataset for Data-Augmented Prediction


LMLFM: Longitudinal Multi-Level Factorization Machine


LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolution


LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM


LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression


LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs


LMMCoDrive: Cooperative Driving with Large Multimodal Model


LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR


LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition


LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removal


LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research


LMR: Lane Distance-Based Metric for Trajectory Prediction


LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models


LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR


LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting


LMSOC: An Approach for Socially Sensitive Pretraining


LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors


LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement


LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units


LMV-RPA: Large Model Voting-based Robotic Process Automation


LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild


LMdiff: A Visual Diff Tool to Compare Language Models


LMentry: A Language Model Benchmark of Elementary Language Tasks


LNGate$^2$: Secure Bidirectional IoT Micro-payments using Bitcoin's Lightning Network and Threshold Cryptography


LNGate: Powering IoT with Next Generation Lightning Micro-payments using Threshold Cryptography


LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration


LNMesh: Who Said You need Internet to send Bitcoin? Offline Lightning Network Payments using Community Wireless Mesh Networks


LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas


LNS2+RL: Combining Multi-Agent Reinforcement Learning with Large Neighborhood Search in Multi-Agent Path Finding


LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images


LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study


LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data


LOBSTUR: A Local Bootstrap Framework for Tuning Unsupervised Representations in Graph Neural Networks


LOCAL: A Graph-Based Active Learning Approach for Stability Analysis of DAC@NG Catalysts


LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators


LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training


LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editing


LOCL: Learning Object-Attribute Composition using Localization


LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions


LOCORE: Image Re-ranking with Long-Context Sequence Modeling


LOCOST: State-Space Models for Long Document Abstractive Summarization


LOD1 3D City Model from LiDAR: The Impact of Segmentation Accuracy on Quality of Urban 3D Modeling and Morphology Extraction


LODAP: On-Device Incremental Learning Via Lightweight Operations and Data Pruning


LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR


LOFS: Library of Online Streaming Feature Selection


LOG-LIO2: A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis


LOG-LIO: A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation


LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment


LOGAN: Local Group Bias Detection by Clustering


LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework


LOL: Lidar-Only Odometry and Localization in 3D Point Cloud Maps


LOLA -- An Open-Source Massively Multilingual Large Language Model


LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments


LON-GNN: Spectral GNNs with Learnable Orthonormal Basis


LOOC: Localize Overlapping Objects with Count Supervision


LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference


LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework


LOPR: Latent Occupancy PRediction using Generative Models


LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification


LORCK: Learnable Object-Resembling Convolution Kernels


LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations


LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification


LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking


LOSSGRAD: automatic learning rate in gradient descent


LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness


LOTUS: A (non-)LTE Optimization Tool for Uniform derivation of Stellar atmospheric parameters


LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning


LOTUS: Learning to Optimize Task-based US representations


LOUC: Leave-One-Out-Calibration Measure for Analyzing Human Matcher Performance


LOVA3: Learning to Visual Question Answering, Asking and Assessment


LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation


LOVECon: Text-driven Training-Free Long Video Editing with ControlNet


LOVM: Language-Only Vision Model Selection


LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation


LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP


LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels


LP-ICP: General Localizability-Aware Point Cloud Registration for Robust Localization in Extreme Unstructured Environments


LP-LM: No Hallucinations in Question Answering with Logic Programming


LP-OVOD: Open-Vocabulary Object Detection by Linear Probing


LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction


LP2PB: Translating Answer Set Programs into Pseudo-Boolean Theories


LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control


LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering


LPFormer: An Adaptive Graph Transformer for Link Prediction


LPG: a four-groups probabilistic approach to leveraging pleiotropy in genome-wide association studies


LPGD: A General Framework for Backpropagation through Embedded Optimization Layers


LPGNet: Link Private Graph Networks for Node Classification


LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training


LPMNet: Latent Part Modification and Generation for 3D Point Clouds


LPOI: Listwise Preference Optimization for Vision Language Models


LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation


LPT: Long-tailed Prompt Tuning for Image Classification


LPUF-AuthNet: A Lightweight PUF-Based IoT Authentication via Tandem Neural Networks and Split Learning


LPUWF-LDM: Enhanced Latent Diffusion Model for Precise Late-phase UWF-FA Generation on Limited Dataset


LPViT: Low-Power Semi-structured Pruning for Vision Transformers


LPYOLO: Low Precision YOLO for Face Detection on FPGA


LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning


LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks


LQER: Low-Rank Quantization Error Reconstruction for LLMs


LQR-CBF-RRT*: Safe and Optimal Motion Planning


LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes


LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation


LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification


LR-SQL: A Supervised Fine-Tuning Method for Text2SQL Tasks under Low-Resource Scenarios


LR-XFL: Logical Reasoning-based Explainable Federated Learning


LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models


LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network


LRBmat: A Novel Gut Microbial Interaction and Individual Heterogeneity Inference Method for Colorectal Cancer


LRFusionPR: A Polar BEV-Based LiDAR-Radar Fusion Network for Place Recognition


LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation


LRH-Net: A Multi-Level Knowledge Distillation Approach for Low-Resource Heart Network


LRM-Zero: Training Large Reconstruction Models with Synthesized Data


LRNet: Change detection of high-resolution remote sensing imagery via strategy of localization-then-refinement


LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks


LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images


LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate


LRSCLIP: A Vision-Language Foundation Model for Aligning Remote Sensing Image with Longer Text


LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition


LRez: C++ API and toolkit for analyzing and managing Linked-Reads data


LSA-T: The first continuous Argentinian Sign Language dataset for Sign Language Translation


LSA: Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation


LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer


LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem


LSB: Local Self-Balancing MCMC in Discrete Spaces


LSCALE: Latent Space Clustering-Based Active Learning for Node Classification


LSCP: Locally Selective Combination in Parallel Outlier Ensembles


LSCPM: communities in massive real-world Link Streams by Clique Percolation Method


LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection


LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo


LSEMINK: A Modified Newton-Krylov Method for Log-Sum-Exp Minimization


LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering


LSG Attention: Extrapolation of pretrained Transformers to long sequences


LSG-CPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration


LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity


LSH-DynED: A Dynamic Ensemble Framework with LSH-Based Undersampling for Evolving Multi-Class Imbalanced Classification


LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network


LSI: A Learned Secondary Index Structure


LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels


LSKV: A Confidential Distributed Datastore to Protect Critical Data in the Cloud


LSM-YOLO: A Compact and Effective ROI Detector for Medical Detection


LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport


LSMM: A statistical approach to integrating functional annotations with genome-wide association studies


LSNet: Extremely Light-Weight Siamese Network For Change Detection in Remote Sensing Image


LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction


LSOR: Longitudinally-Consistent Self-Organized Representation Learning


LSPI: Heterogeneous Graph Neural Network Classification Aggregation Algorithm Based on Size Neighbor Path Identification


LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU


LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration


LSS-SKAN: Efficient Kolmogorov-Arnold Networks based on Single-Parameterized Function


LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection


LSSED: a large-scale dataset and benchmark for speech emotion recognition


LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance Representation


LSST Cadence Strategy Evaluations for AGN Time-series Data in Wide-Fast-Deep Field


LSST Survey Strategies and Brown Dwarf Parallaxes


LSST Survey Strategy in the Galactic Plane and Magellanic Clouds


LST-Bench: Benchmarking Log-Structured Tables in the Cloud


LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning


LSTA: Long Short-Term Attention for Egocentric Action Recognition


LSTC: Boosting Atomic Action Detection with Long-Short-Term Context


LSTM Benchmarks for Deep Learning Frameworks


LSTM vs. GRU vs. Bidirectional RNN for script generation


LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data


LSTM-Based Forecasting Model for GRACE Accelerometer Data


LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling


LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns


LSTM-RPA: A Simple but Effective Long Sequence Prediction Algorithm for Music Popularity Prediction


LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection


LSTM-based Video Quality Prediction Accounting for Temporal Distortions in Videoconferencing Calls


LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement


LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting


LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop


LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences


LSwinSR: UAV Imagery Super-Resolution based on Linear Swin Transformer


LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring


LT-PINN: Lagrangian Topology-conscious Physics-informed Neural Network for Boundary-focused Engineering Optimization


LT-mapper: A Modular Framework for LiDAR-based Lifelong Mapping


LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields


LTC-SE: Expanding the Potential of Liquid Time-Constant Neural Networks for Scalable AI and Embedded Systems


LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN


LTCR: Long-Text Chinese Rumor Detection Dataset


LTE4G: Long-Tail Experts for Graph Neural Networks


LTL Verification of Memoryful Neural Agents


LTL2Action: Generalizing LTL Instructions for Multi-Task RL


LTLBench: Towards Benchmarks for Evaluating Temporal Logic Reasoning in Large Language Models


LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning


LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops


LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition


LTRL: Boosting Long-tail Recognition via Reflective Learning


LTRR: Learning To Rank Retrievers for LLMs


LTX-Video: Realtime Video Latent Diffusion


LU-Net: Invertible Neural Networks Based on Matrix Factorization


LUCID: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection


LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues


LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles


LUCY: Linguistic Understanding and Control Yielding Early Stage of Her


LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network


LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models


LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition


LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data


LUNA: A Framework for Language Understanding and Naturalness Assessment


LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training


LUNA: Learning Slot-Turn Alignment for Dialogue State Tracking


LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks


LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images


LUSD: Localized Update Score Distillation for Text-Guided Image Editing


LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models


LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models


LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood


LV-BERT: Exploiting Layer Variety for BERT


LV-DOT: LiDAR-visual dynamic obstacle detection and tracking for autonomous robot navigation


LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K


LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation


LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks


LVBench: An Extreme Long Video Understanding Benchmark


LVCHAT: Facilitating Long Video Comprehension


LVD-2M: A Long-take Video Dataset with Temporally Dense Captions


LVIS: Learning from Value Function Intervals for Contact-Aware Robot Controllers


LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language Models


LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models


LVLane: Deep Learning for Lane Detection and Classification in Challenging Conditions


LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty Search


LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility


LViT: Language meets Vision Transformer in Medical Image Segmentation


LW2G: Learning Whether to Grow for Prompt-based Continual Learning


LWB and FS-LWB implementation for Sky platform using Contiki


LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks


LWGNet: Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval


LWIRPOSE: A novel LWIR Thermal Image Dataset and Benchmark


LWS: A Framework for Log-based Workload Simulation in Session-based SUT


LZD-style Compression Scheme with Truncation and Repetitions


L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering


L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification


L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations


L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion


L_DMI: An Information-theoretic Noise-robust Loss Function


LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes


LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation


LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow


LaCViT: A Label-aware Contrastive Fine-tuning Framework for Vision Transformers


LaCo: Large Language Model Pruning via Layer Collapse


LaCon: Late-Constraint Diffusion for Steerable Guided Image Synthesis


LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting


LaDDer: Latent Data Distribution Modelling with a Generative Prior


LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On


LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?


LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT


LaF-GRPO: In-Situ Navigation Instruction Generation for the Visually Impaired via GRPO with LLM-as-Follower Reward


LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing


LaFAM: Unsupervised Feature Attribution with Label-free Activation Maps


LaGDif: Latent Graph Diffusion Model for Efficient Protein Inverse Folding with Self-Ensemble


LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying


LaHAR: Latent Human Activity Recognition using LDA


LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities


LaMAR: Benchmarking Localization and Mapping for Augmented Reality


LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation


LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction


LaMOT: Language-Guided Multi-Object Tracking


LaMPP: Language Models as Probabilistic Priors for Perception and Action


LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs


LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba


LaMemo: Language Modeling with Look-Ahead Memory


LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions


LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation


LaND: Learning to Navigate from Disengagements


LaPA: Latent Prompt Assist Model For Medical Visual Question Answering


LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations


LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSE


LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation


LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval


LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents


LaProp: Separating Momentum and Adaptivity in Adam


LaRE^2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection


LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation


LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation


LaSER: Language-Specific Event Recommendation


LaSagnA: Language-based Segmentation Assistant for Complex Queries


LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting


LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation


LaViDa: A Large Diffusion Language Model for Multimodal Understanding


LaVy: Vietnamese Multimodal Large Language Model


LaWa: Using Latent Space for In-Generation Image Watermarking


Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning


LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records


Label Agnostic Pre-training for Zero-shot Text Classification


Label Alignment Regularization for Distribution Shift


Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts


Label Augmentation Method for Medical Landmark Detection in Hip Radiograph Images


Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images


Label Confusion Learning to Enhance Text Classification Models


Label Contrastive Coding based Graph Neural Network for Graph Classification


Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations


Label Decoupling Framework for Salient Object Detection


Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records


Label Distribution Learning from Logical Label


Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity


Label Drop for Multi-Aspect Relation Modeling in Universal Information Extraction


Label Efficient Semi-Supervised Learning via Graph Filtering


Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks


Label Hallucination for Few-Shot Classification


Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers


Label Inference Attack against Split Learning under Regression Setting


Label Information Bottleneck for Label Enhancement


Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs


Label Leakage in Federated Inertial-based Human Activity Recognition


Label Noise Types and Their Effects on Deep Learning


Label Privacy in Split Learning for Large Models with Parameter-Efficient Training


Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis


Label Propagation for Deep Semi-supervised Learning


Label Propagation for Zero-shot Classification with Vision-Language Models


Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation


Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation


Label Semantic Aware Pre-training for Few-shot Text Classification


Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours


Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels


Label Unbalance in High-frequency Trading


Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning


Label noise detection under the Noise at Random model with ensemble filters


Label, Verify, Correct: A Simple Few Shot Object Detection Method


Label- and slide-free tissue histology using 3D epi-mode quantitative phase imaging and virtual H&E staining


Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models


Label-Agnostic Sequence Labeling by Copying Nearest Neighbors


Label-Attention Transformer with Geometrically Coherent Objects for Image Captioning


Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity


Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar