mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 16 Oct 2024

395 papers

  1. TradExpert: Revolutionizing Trading with Mixture of Expert LLMsMixture-of-experts → MoE for time series and graphs
  2. Mastering the Craft of Data Synthesis for CodeLLMsSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  3. Stable Diffusion with Continuous-time Neural NetworkDiffusion models → Diffusion foundations and sampling
  4. Agent Skill Acquisition for Large Language Models via CycleQDLLM agents and tool use → Agent skill learning and evolution
  5. MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal ProjectionEfficient LLM inference and serving → KV cache optimization
  6. On the Relation Between Linear Diffusion and Power IterationDiffusion models → Diffusion foundations and sampling
  7. Rethinking Token Reduction for State Space ModelsLLM reasoning → Test-time compute and efficient thinking +2
  8. Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network StructuresLLM agents and tool use → Social simulation and multi-agent debate
  9. NSmark: Null Space Based Black-box Watermarking Defense Framework for Language ModelsLLM safety and security → Watermarking generated content and models
  10. Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  11. MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models +1
  12. Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  13. Is Semantic Chunking Worth the Computational Cost?Retrieval-augmented generation → Multimodal RAG
  14. Synthesis and Perceptual Scaling of High Resolution Naturalistic Images Using Stable DiffusionDiffusion models → Image generation, text-to-image and editing
  15. Hypothesis Testing the Circuit Hypothesis in LLMsMechanistic interpretability → Circuits and mechanistic analysis
  16. Sensitivity of Generative VLMs to Semantically and Lexically Altered PromptsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  17. Geometric Trajectory Diffusion ModelsDiffusion models → Flow matching, time series and science
  18. Learning Representations for Reasoning: Generalizing Across Diverse StructuresLLM reasoning → Knowledge- and tool-augmented reasoning
  19. POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference OptimizationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  20. "Let's Argue Both Sides": Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning CapabilitiesLLM reasoning → Reasoning benchmarks and evaluation
  21. Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
  22. KCIF: Knowledge-Conditioned Instruction FollowingLLM reasoning → Test-time compute and efficient thinking
  23. Self-Pluralising Culture Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  24. Super-resolving Real-world Image Illumination Enhancement: A New Dataset and A Conditional Diffusion ModelDiffusion models → Inverse problems and image restoration
  25. Syn2Real Domain Generalization for Underwater Mine-like Object Detection Using Side-Scan SonarDiffusion models → Inverse problems and image restoration
  26. Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction TuningLLM agents and tool use → Tool learning and function calling
  27. Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic LocalizationLLM safety and security → Machine unlearning
  28. Enhancing Mathematical Reasoning in LLMs by Stepwise CorrectionLLM reasoning → Mathematical reasoning
  29. A Survey on Data Synthesis and Augmentation for Large Language ModelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  30. REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding ModelsRetrieval-augmented generation → Generation and context integration
  31. AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
  32. Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  33. Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical PerceptionRetrieval-augmented generation → Multimodal RAG
  34. The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and AudioMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  35. Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned ConceptsDiffusion models → Robustness, privacy and adversarial aspects +1
  36. SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video GenerationDiffusion models → Robustness, privacy and adversarial aspects +1
  37. CREAM: Consistency Regularized Self-Rewarding Language ModelsLLM reasoning → Reinforcement learning for reasoning +1
  38. WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluationMultimodal LLMs / vision-language models → Medical vision-language models
  39. WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global CuisinesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  40. Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationDiffusion models → Diffusion and flow policies for robotics +2
  41. AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image EditingDiffusion models → Image generation, text-to-image and editing
  42. VividMed: Vision Language Model with Versatile Visual Grounding for MedicineMultimodal LLMs / vision-language models → Medical vision-language models
  43. Cross-Modal Safety Mechanism Transfer in Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  44. Weak-to-Strong Generalization beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal ReasoningLLM reasoning → Test-time compute and efficient thinking
  45. Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math ReasoningLLM reasoning → Mathematical reasoning
  46. Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit ApproachDeep reinforcement learning methods → Deep RL algorithms and representations
  47. CMAL: A Novel Cross-Modal Associative Learning Framework for Vision-Language Pre-TrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  48. Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
  49. FTII-Bench: A Comprehensive Multimodal Benchmark for Flow Text with Image InsertionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  50. One Step Diffusion via Shortcut ModelsDiffusion models → Diffusion foundations and sampling
  51. Investigating Sensitive Directions in GPT-2: An Improved Baseline and Comparative Analysis of SAEsMechanistic interpretability → SAE features and their applications
  52. Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule SegmentationDiffusion models → Medical imaging and segmentation
  53. Counterfactual Effect Decomposition in Multi-Agent Sequential Decision MakingLLM agents and tool use → Social simulation and multi-agent debate
  54. MedAide: Information Fusion and Anatomy of Medical Intents via LLM-based Agent CollaborationLLM agents and tool use → Medical and scientific domain agents
  55. Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video EditingDiffusion models → Video generation
  56. Spectrum Sharing using Deep Reinforcement Learning in Vehicular NetworksDeep reinforcement learning methods → RL for energy, networks and operations
  57. Benchmarking Defeasible Reasoning with Large Language Models -- Initial Experiments and Future DirectionsLLM reasoning → Reasoning benchmarks and evaluation
  58. Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  59. Stabilize the Latent Space for Image Autoregressive Modeling: A Unified PerspectiveDiffusion models → Diffusion foundations and sampling
  60. Synthetic Augmentation for Anatomical Landmark Localization using DDPMsDiffusion models → Medical imaging and segmentation
  61. SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight RelabelingLLM agents and tool use → Reinforcement learning for LLM agents
  62. Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial GenerationLLM reasoning → Clinical and biomedical applications
  63. Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety EngineeringLLM agents and tool use → Agent threats, guardrails and governance
  64. Evaluating Software Development Agents: Patch Patterns, Code Quality, and Issue Complexity in Real-World GitHub ScenariosLLM agents and tool use → Software engineering coding agents
  65. Exploring LLM Cryptocurrency Trading Through Fact-Subjectivity Aware ReasoningLLM reasoning → Reasoning for agents, planning and code
  66. Sharpness-Aware Black-Box OptimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
  67. Revealing the Barriers of Language Agents in PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
  68. SF-Speech: Straightened Flow for Zero-Shot Voice CloneDiffusion models → Audio, speech and music
  69. Prompt Compression for Large Language Models: A SurveyEfficient LLM inference and serving → Prompt and context compression
  70. HumanEval-V: Benchmarking High-Level Visual Reasoning with Complex Diagrams in Coding TasksLLM reasoning → Multimodal reasoning
  71. Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  72. ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile ProcessingLLM agents and tool use → Multimodal and embodied agents
  73. PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic ThinkingLLM reasoning → Test-time compute and efficient thinking +2
  74. Proactive Agent: Shifting LLM Agents from Reactive Responses to Active AssistanceLLM agents and tool use → General LLM agent frameworks and benchmarks
  75. Fuse Before Transfer: Knowledge Fusion for Heterogeneous DistillationKnowledge distillation → General knowledge distillation methods
  76. Learning by Surprise: Adaptive Mitigation of Model Collapse in Large Language ModelsSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  77. MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  78. Understanding the Role of LLMs in Multimodal Evaluation BenchmarksMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  79. Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-upLLM reasoning → Test-time compute and efficient thinking +1
  80. A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator NetworksDeep reinforcement learning methods → RL for energy, networks and operations
  81. Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering VectorsMechanistic interpretability → Activation steering methods
  82. Pyramid-Driven Alignment: Pyramid Principle Guided Integration of Large Language Models and Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
  83. Beyond Oversmoothing: Evaluating DDPM and MSE for Scalable Speech Synthesis in ASRDiffusion models → Audio, speech and music
  84. DaDiff: Domain-aware Diffusion Model for Nighttime UAV TrackingDiffusion models → Image generation, text-to-image and editing
  85. FlashAudio: Rectified Flows for Fast and High-Fidelity Text-to-Audio GenerationDiffusion models → Audio, speech and music
  86. Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithmKnowledge distillation → Detection and dense prediction distillation
  87. Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
  88. Dual Action Policy for Robust Sim-to-Real Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  89. CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data DiversityRetrieval-augmented generation → RAG pipeline design and evaluation
  90. EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
  91. Off-dynamics Conditional Diffusion PlannersOffline RL and imitation learning from data → Diffusion and flow policies for offline RL +1
  92. Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience ReplayLLM agents and tool use → Software engineering coding agents
  93. Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion PlannersDeep reinforcement learning methods → RL for robot navigation and UAV control
  94. Evaluating Cascaded Methods of Vision-Language Models for Zero-Shot Detection and Association of Hardhats for Increased Construction SafetyMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  95. EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at EdgeDeep reinforcement learning methods → Deep RL algorithms and representations
  96. OmnixR: Evaluating Omni-modality Language Models on Reasoning across ModalitiesLLM reasoning → Multimodal reasoning
  97. Potential-Based Intrinsic Motivation: Preserving Optimality With Complex, Non-Markovian Shaping RewardsDeep reinforcement learning methods → Deep RL algorithms and representations
  98. Negative-Prompt-driven Alignment for Generative Language ModelLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  99. DocETL: Agentic Query Rewriting and Evaluation for Complex Document ProcessingLLM agents and tool use → Web, search, and research agents
  100. TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent CollaborationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
All 395
  1. Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average RewardsDeep reinforcement learning methods → Interpretable and logic-guided RL
  2. Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
  3. When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data FilterDeep reinforcement learning methods → Deep RL algorithms and representations
  4. SAM-Guided Masked Token Prediction for 3D Scene UnderstandingKnowledge distillation → Detection and dense prediction distillation
  5. Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information RetrievalLLM reasoning → Reasoning for agents, planning and code
  6. Layer-of-Thoughts Prompting (LoT): Leveraging LLM-Based Retrieval with Constraint HierarchiesLLM reasoning → Knowledge- and tool-augmented reasoning
  7. Preference Optimization with Multi-Sample ComparisonsDiffusion models → Diffusion and flow policies for robotics +1
  8. Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide ExplorationDeep reinforcement learning methods → Interpretable and logic-guided RL
  9. Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies
  10. Personality-Guided Code Generation Using Large Language Models
  11. RapidDock: Unlocking Proteome-scale Molecular Docking
  12. TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt
  13. Explainable Artificial Intelligent (XAI) for Predicting Asphalt Concrete Stiffness and Rutting Resistance: Integrating Bailey's Aggregate Gradation Method
  14. First-Person Fairness in Chatbots
  15. The Useful Side of Motion: Using Head Motion Parameters to Correct for Respiratory Confounds in BOLD fMRI
  16. Radon Implicit Field Transform (RIFT): Learning Scenes from Radar Signals
  17. Feature Clipping for Uncertainty Calibration
  18. Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
  19. Advancements In Heart Disease Prediction: A Machine Learning Approach For Early Detection And Risk Assessment
  20. Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
  21. SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting
  22. Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
  23. Security Threats in Agentic AI System
  24. Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations
  25. Incorporating Long-term Data in Training Short-term Traffic Prediction Model
  26. P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
  27. CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
  28. SoK: Prompt Hacking of Large Language Models
  29. SDI-Paste: Synthetic Dynamic Instance Copy-Paste for Video Instance Segmentation
  30. Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
  31. Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
  32. Reverse-Engineering the Reader
  33. BOXR: Body and head motion Optimization framework for eXtended Reality
  34. FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
  35. Tuning Language Models by Mixture-of-Depths Ensemble
  36. PromptExp: Multi-granularity Prompt Explanation of Large Language Models
  37. Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
  38. Language Models as Semiotic Machines: Reconceptualizing AI Language Systems through Structuralist and Post-Structuralist Theories of Language
  39. Large data limits and scaling laws for tSNE
  40. Optimal Transport for Probabilistic Circuits
  41. AERO: Entropy-Guided Framework for Private LLM Inference
  42. ERAS: Evaluating the Robustness of Chinese NLP Models to Morphological Garden Path Errors
  43. Channel-Wise Mixed-Precision Quantization for Large Language Models
  44. Systems with Switching Causal Relations: A Meta-Causal Perspective
  45. Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models
  46. LLM Confidence Evaluation Measures in Zero-Shot CSS Classification
  47. FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
  48. UniCoN: Universal Conditional Networks for Multi-Age Embryonic Cartilage Segmentation with Sparsely Annotated Data
  49. A low complexity contextual stacked ensemble-learning approach for pedestrian intent prediction
  50. LFOSum: Summarizing Long-form Opinions with Large Language Models
  51. When Not to Answer: Evaluating Prompts on GPT Models for Effective Abstention in Unanswerable Math Word Problems
  52. LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks
  53. Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
  54. LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering
  55. Sample Compression Scheme Reductions
  56. Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images
  57. LLM Chain Ensembles for Scalable and Accurate Data Annotation
  58. Flex: End-to-End Text-Instructed Visual Navigation from Foundation Model Features
  59. Linear cost and exponentially convergent approximation of Gaussian Mat'ern processes on intervals
  60. SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection
  61. Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation
  62. Explainable Binary Classification of Separable Shape Ensembles
  63. Qtok: A Comprehensive Framework for Evaluating Multilingual Tokenizer Quality in Large Language Models
  64. Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation
  65. Leveraging LLMs for Translating and Classifying Mental Health Data
  66. Double-Bayesian Learning
  67. Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond
  68. BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
  69. Large Language Models as a Tool for Mining Object Knowledge
  70. MuVi: Video-to-Music Generation with Semantic Alignment and Rhythmic Synchronization
  71. Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations
  72. A Note on Shumailov et al. (2024): `AI Models Collapse When Trained on Recursively Generated Data'
  73. What Do Speech Foundation Models Not Learn About Speech?
  74. Gradient Map-Assisted Head and Neck Tumor Segmentation: A Pre-RT to Mid-RT Approach in MRI-Guided Radiotherapy
  75. UMambaAdj: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and nnU-Net ResEnc Planner
  76. Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data
  77. Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
  78. Quantum Boltzmann machine learning of ground-state energies
  79. DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model
  80. Deep Model Merging: The Sister of Neural Network Interpretability -- A Survey
  81. DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation
  82. Interpreting token compositionality in LLMs: A robustness analysis
  83. Credal Two-Sample Tests of Epistemic Uncertainty
  84. Boosting Asynchronous Decentralized Learning with Model Fragmentation
  85. MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation
  86. Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights
  87. Large Language Models and the Rationalist Empiricist Debate
  88. MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation
  89. Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants
  90. Using Protected Attributes to Consider Fairness in Multi-Agent Systems
  91. Exploiting Longitudinal Speech Sessions via Voice Assistant Systems for Early Detection of Cognitive Decline
  92. Context is Key(NMF): Modelling Topical Information Dynamics in Chinese Diaspora Media
  93. Metal Price Spike Prediction via a Neurosymbolic Ensemble Approach
  94. JudgeBench: A Benchmark for Evaluating LLM-based Judges
  95. Context-Scaling versus Task-Scaling in In-Context Learning
  96. In-Context Learning Enables Robot Action Prediction in LLMs
  97. Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats
  98. Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
  99. Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information
  100. Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions
  101. Vaccinating Federated Learning for Robust Modulation Classification in Distributed Wireless Networks
  102. Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
  103. Towards Zero-Shot Camera Trap Image Categorization
  104. The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse
  105. Gravity-aligned Rotation Averaging with Circular Regression
  106. Unitary Multi-Margin BERT for Robust Natural Language Processing
  107. StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples
  108. Comparative Analysis of Extrinsic Factors for NER in French
  109. Initialization Method for Factorization Machine Based on Low-Rank Approximation for Constructing a Corrected Approximate Ising Model
  110. PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network
  111. Counterfactual Generative Modeling with Variational Causal Inference
  112. Transformer based super-resolution downscaling for regional reanalysis: Full domain vs tiling approaches
  113. Optimizing 3D Geometry Reconstruction from Implicit Neural Representations
  114. HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts
  115. RAFA-Net: Region Attention Network For Food Items And Agricultural Stress Recognition
  116. How Does Variance Shape the Regret in Contextual Bandits?
  117. On the sample complexity of purity and inner product estimation
  118. FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression
  119. Sarcasm Detection in a Less-Resourced Language
  120. Neural-based Control for CubeSat Docking Maneuvers
  121. Holstein-Friesian Re-Identification using Multiple Cameras and Self-Supervision on a Working Farm
  122. Machine learning approach to brain tumor detection and classification
  123. Building Better: Avoiding Pitfalls in Developing Language Resources when Data is Scarce
  124. Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
  125. A distance function for stochastic matrices
  126. Automatic Mapping of Anatomical Landmarks from Free-Text Using Large Language Models: Insights from Llama-2
  127. Generative Neural Reparameterization for Differentiable PDE-constrained Optimization
  128. Optimizing Multi-Task Learning for Accurate Spacecraft Pose Estimation
  129. Efficient Optimization Algorithms for Linear Adversarial Training
  130. MambaBEV: An EV-based 3D detection model with Mamba2
  131. Context Matters: Leveraging Contextual Features for Time Series Forecasting
  132. New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
  133. 3DIS: Depth-Driven Decoupled Instance Synthesis for Text-to-Image Generation
  134. Hamiltonian bridge: A physics-driven generative framework for targeted pattern control
  135. Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
  136. Evaluating Morphological Compositional Generalization in Large Language Models
  137. Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks
  138. Constrained Posterior Sampling: Time Series Generation with Hard Constraints
  139. Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction
  140. Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint assessment in shoulder CT scans
  141. Towards Arbitrary QUBO Optimization: Analysis of Classical and Quantum-Activated Feedforward Neural Networks
  142. An Exact Finite-dimensional Explicit Feature Map for Kernel Functions
  143. Explainable Moral Values: a neuro-symbolic approach to value classification
  144. DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
  145. From Measurement Instruments to Data: Leveraging Theory-Driven Synthetic Training Data for Classifying Social Constructs
  146. Parsing Akkadian Verbs with Prolog
  147. Exploring Model Kinship for Merging Large Language Models
  148. Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
  149. Low-Rank Adversarial PGD Attack
  150. Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
  151. The Bayesian Confidence (BACON) Estimator for Deep Neural Networks
  152. CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
  153. On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
  154. Personalized Prediction Models for Changes in Knee Pain among Patients with Osteoarthritis Participating in Supervised Exercise and Education
  155. Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
  156. Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion
  157. Rethinking Visual Counterfactual Explanations Through Region Constraint
  158. From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19
  159. How to Make LLMs Forget: On Reversing In-Context Knowledge Edits
  160. Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier
  161. STRUX: An LLM for Decision-Making with Structured Explanations
  162. On the Utility of Domain Modeling Assistance with Large Language Models
  163. On the Role of Activation Functions in EEG-To-Text Decoder
  164. Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation
  165. Development of Image Collection Method Using YOLO and Siamese Network
  166. A Claim Decomposition Benchmark for Long-form Answer Verification
  167. LLM-based Translation Inference with Iterative Bilingual Understanding
  168. Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed Human and Automated Traffic
  169. Is Complex Query Answering Really Complex?
  170. SiFiSinger: A High-Fidelity End-to-End Singing Voice Synthesizer based on Source-filter Model
  171. Disentangling data distribution for Federated Learning
  172. MambaPainter: Neural Stroke-Based Rendering in a Single Step
  173. MING: A Functional Approach to Learning Molecular Generative Models
  174. QueensCAMP: an RGB-D dataset for robust Visual SLAM
  175. FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction
  176. Advancing Fairness in Natural Language Processing: From Traditional Methods to Explainability
  177. DH-VTON: Deep Text-Driven Virtual Try-On via Hybrid Attention Learning
  178. With a Grain of SALT: Are LLMs Fair Across Social Dimensions?
  179. End-to-end Planner Training for Language Modeling
  180. Data-Driven Gyroscope Calibration
  181. Stable Object Placement Planning From Contact Point Robustness
  182. KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
  183. MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
  184. Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
  185. Unifying Economic and Language Models for Enhanced Sentiment Analysis of the Oil Market
  186. Learning to Predict Usage Options of Product Reviews with LLM-Generated Labels
  187. Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention
  188. Challenges, Methods, Data -- a Survey of Machine Learning in Water Distribution Networks
  189. HELM: Hierarchical Encoding for mRNA Language Modeling
  190. The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph
  191. Training Neural Samplers with Reverse Diffusive KL Divergence
  192. Loss Landscape Characterization of Neural Networks without Over-Parametrization
  193. Conditional Outcome Equivalence: A Quantile Alternative to CATE
  194. FairGLVQ: Fairness in Partition-Based Classification
  195. Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs
  196. Augmenting Compliance-Guaranteed Customer Service Chatbots: Context-Aware Knowledge Expansion with Large Language Models
  197. Reconstruction of Differentially Private Text Sanitization via Large Language Models
  198. A primal-dual algorithm for image reconstruction with input-convex neural network regularizers
  199. Beyond Attribution: Unified Concept-Level Explanations
  200. Approaching Metaheuristic Deep Learning Combos for Automated Data Mining
  201. Conformity in Large Language Models
  202. Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks
  203. Nonlinear Bayesian Doppler Tomography for Simultaneous Reconstruction of Flow and Temperature
  204. Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation
  205. Chase Anonymisation: Privacy-Preserving Knowledge Graphs with Logical Reasoning
  206. Enhancing Speech Emotion Recognition through Segmental Average Pooling of Self-Supervised Learning Features
  207. Triplet: Triangle Patchlet for Mesh-Based Inverse Rendering and Scene Parameters Approximation
  208. Theoretical Analysis of Hierarchical Language Recognition and Generation by Transformers without Positional Encoding
  209. AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation
  210. Beyond Coarse-Grained Matching in Video-Text Retrieval
  211. Nominal Class Assignment in Swahili: A Computational Account
  212. ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs
  213. De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
  214. Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look
  215. Real-time Stereo-based 3D Object Detection for Streaming Perception
  216. Tracking Universal Features Through Fine-Tuning and Model Merging
  217. A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetic
  218. Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints
  219. HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims
  220. GAN Based Top-Down View Synthesis in Reinforcement Learning Environments
  221. Context-Infused Visual Grounding for Art
  222. Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation
  223. Towards Neural Scaling Laws for Time Series Foundation Models
  224. GECTurk WEB: An Explainable Online Platform for Turkish Grammatical Error Detection and Correction
  225. Efficient Diffusion as Low Light Enhancer
  226. Federated Temporal Graph Clustering
  227. ARIC: An Activity Recognition Dataset in Classroom Surveillance Images
  228. MAX: Masked Autoencoder for X-ray Fluorescence in Geological Investigation
  229. Improved Anomaly Detection through Conditional Latent Space VAE Ensembles
  230. Neuron-based Personality Trait Induction in Large Language Models
  231. Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment
  232. M3 Scaling Law: Optimizing Multi-Epoch, Multi-Lingual, and Multi-Stage Training for Low-Resource Language Models
  233. PAPL-SLAM: Principal Axis-Anchored Monocular Point-Line SLAM
  234. UTF:Undertrained Tokens as Fingerprints A Novel Approach to LLM Identification
  235. TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic
  236. FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization
  237. Open Domain Question Answering with Conflicting Contexts
  238. DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
  239. Continuous Pupillography: A Case for Visual Health Ecosystem
  240. Two Birds with One Stone: Multi-Task Semantic Communications Systems over Relay Channel
  241. Conjunction Subspaces Test for Conformal and Selective Classification
  242. Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors
  243. LLM-based Cognitive Models of Students with Misconceptions
  244. Discovering Leitmotifs in Multidimensional Time Series
  245. How much do contextualized representations encode long-range context?
  246. AI-Aided Kalman Filters
  247. A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
  248. Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting
  249. A Numerical Study of Chaotic Dynamics of K-S Equation with FNOs
  250. Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection
  251. Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond
  252. Stress Assessment with Convolutional Neural Network Using PPG Signals
  253. Kallini et al. (2024) do not compare impossible languages with constituency-based ones
  254. LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignment
  255. iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System
  256. Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation
  257. Game Theory Meets Statistical Mechanics in Deep Learning Design
  258. CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
  259. Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
  260. Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction
  261. Advancing Healthcare: Innovative ML Approaches for Improved Medical Imaging in Data-Constrained Environments
  262. EG-HumanNeRF: Efficient Generalizable Human NeRF Utilizing Human Prior for Sparse View
  263. Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling
  264. Leveraging Spatial Attention and Edge Context for Optimized Feature Selection in Visual Localization
  265. Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
  266. Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
  267. Causally-Aware Unsupervised Feature Selection Learning
  268. Exploring the impact of virtual reality user engagement on tourist behavioral response integrated an environment concern of touristic travel perspective: A new hybrid machine learning approach
  269. On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
  270. Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree
  271. Order-aware Interactive Segmentation
  272. Global Censored Quantile Random Forest
  273. Divide-Verify-Refine: Can LLMs Self-Align with Complex Instructions?
  274. Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
  275. Data-light Uncertainty Set Merging with Admissibility
  276. Sparse Prototype Network for Explainable Pedestrian Behavior Prediction
  277. Differentiable Motion Manifold Primitives for Reactive Motion Generation under Kinodynamic Constraints
  278. Test-time adaptation for image compression with distribution regularization
  279. LPUF-AuthNet: A Lightweight PUF-Based IoT Authentication via Tandem Neural Networks and Split Learning
  280. DAQ: Density-Aware Post-Training Weight-Only Quantization For LLMs
  281. ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction
  282. Model Balancing Helps Low-data Training and Fine-tuning
  283. Expected Sliced Transport Plans
  284. Exploring Large Language Models for Hate Speech Detection in Rioplatense Spanish
  285. The State of Robot Motion Generation
  286. COMET: Towards Partical W4A4KV4 LLMs Serving
  287. Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
  288. Dual-Model Distillation for Efficient Action Classification with Hybrid Edge-Cloud Solution
  289. Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning
  290. NSSI-Net: A Multi-Concept GAN for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG in a Semi-Supervised Framework
  291. FragNet: A Graph Neural Network for Molecular Property Prediction with Four Levels of Interpretability
  292. Facing Identity: The Formation and Performance of Identity via Face-Based Artificial Intelligence Technologies
  293. Mixture of Scale Experts for Alignment-free RGBT Video Object Detection and A Unified Benchmark
  294. Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning
  295. What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs