mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 31 May 2025

263 papers

  1. Optimized Local Updates in Federated Learning via Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  2. How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  3. HueManity: Probing Fine-Grained Visual Perception in MLLMsLLM reasoning → Multimodal reasoning +1
  4. MINT: Memory-Infused Prompt Tuning at Test-time for CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  5. Enhancing Multimodal Continual Instruction Tuning with BranchLoRAMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
  6. Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) EcosystemLLM agents and tool use → Agent threats, guardrails and governance
  7. FinS-Pilot: A Benchmark for Online Financial RAG SystemRetrieval-augmented generation → Legal and financial RAG
  8. Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?LLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  9. CodeSense: a Real-World Benchmark and Dataset for Code Semantic ReasoningLLM reasoning → Reasoning for agents, planning and code
  10. Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model TranslationsLLM reasoning → Reasoning benchmarks and evaluation
  11. DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity EnvironmentsLLM agents and tool use → Agent threats, guardrails and governance
  12. IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion ModelingDiffusion models → Audio, speech and music
  13. Involution-Infused DenseNet with Two-Step Compression for Resource-Efficient Plant Disease ClassificationKnowledge distillation → Detection and dense prediction distillation
  14. Chain-of-Thought Training for Open E2E Spoken Dialogue SystemsLLM reasoning → Audio-language model reasoning
  15. RFCAudit: An LLM Agent for Functional Bug Detection in Network ProtocolsLLM agents and tool use → Agent threats, guardrails and governance
  16. QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO TrainingLLM reasoning → Clinical and biomedical applications +1
  17. RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion ModelsDiffusion models → Flow matching, time series and science
  18. DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical DomainsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  19. Bayesian Inference of Training Dataset MembershipLLM safety and security → Membership inference attacks
  20. Central Path Proximal Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  21. Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  22. Existing Large Language Model Unlearning Evaluations Are InconclusiveLLM safety and security → Machine unlearning
  23. Learning to Upsample and Upmix Audio in the Latent DomainDiffusion models → Audio, speech and music
  24. SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-TuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  25. DeepRAG: Integrating Hierarchical Reasoning and Process Supervision for Biomedical Multi-Hop QARetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  26. SafeTy Reasoning Elicitation Alignment for Multi-Turn DialoguesLLM reasoning → Reasoning for agents, planning and code
  27. Video Signature: Implicit Watermarking for Video Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  28. GuideX: Guided Synthetic Data Generation for Zero-Shot Information ExtractionSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  29. AgentAuditor: Human-Level Safety and Security Evaluation for LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
  30. From Alignment to Synthesis: Contrastive Volumetric Grounding for Text-to-CT GenerationDiffusion models → Medical imaging and segmentation
  31. RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use AgentsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  32. WorldGym: World Model as An Environment for Policy EvaluationWorld models → Embodied and robot world models
  33. Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  34. Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic ControlDiffusion models → Medical imaging and segmentation
  35. Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing ChurnDeep reinforcement learning methods → Deep RL algorithms and representations
  36. MR2US-Pro: Prostate MR to Ultrasound Image Translation and Registration Based on Diffusion ModelsDiffusion models → Medical imaging and segmentation
  37. Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMsLLM reasoning → Reasoning for agents, planning and code +1
  38. AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  39. CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-TuningLLM reasoning → Spatial and embodied reasoning
  40. Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning EnvironmentsDeep reinforcement learning methods → Deep RL algorithms and representations
  41. SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  42. Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
  43. MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical ReasoningLLM reasoning → Clinical and biomedical applications +2
  44. AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker SimulationLLM agents and tool use → Medical and scientific domain agents
  45. Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual ModalitiesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  46. ARIA: Training Language Agents with Intention-Driven Reward AggregationLLM agents and tool use → Reinforcement learning for LLM agents
  47. Decoupling Reasoning and Knowledge Injection for In-Context Knowledge EditingLLM reasoning → Knowledge- and tool-augmented reasoning
  48. The Security Threat of Compressed Projectors in Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  49. CityLens: Evaluating Large Vision-Language Models for Urban Socioeconomic SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  50. Retrieval-Augmented Generation Systems for Intellectual Property via Synthetic Multi-Angle Fine-tuningRetrieval-augmented generation → RAG pipeline design and evaluation
  51. SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image DistillationDiffusion models → Diffusion foundations and sampling
  52. CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy AbstentionLLM reasoning → Causal reasoning in LLMs
  53. Goal-Aware Identification and Rectification of Misinformation in Multi-Agent SystemsLLM agents and tool use → Web, search, and research agents
  54. From Rules to Rewards: Reinforcement Learning for Interest Rate Adjustment in DeFi LendingOffline RL and imitation learning from data → Offline RL algorithms +1
  55. Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  56. Auto-Patching: Enhancing Multi-Hop Reasoning in Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  57. EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  58. Disturbance-Aware Adaptive Compensation in Hybrid Force-Position Locomotion Policy for Legged RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  59. DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representationDiffusion models → Flow matching, time series and science
  60. Comparing Traditional and Reinforcement-Learning Methods for Energy Storage ControlDeep reinforcement learning methods → RL for energy, networks and operations
  61. Reinforcement Learning for HanabiDeep reinforcement learning methods → RL for games and combinatorial optimization
  62. MIRROR: Converging Cognitive Principles as Computational Mechanisms for AI ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  63. Inter-Passage Verification for Multi-evidence Multi-answer QARetrieval-augmented generation → RAG robustness and adaptive retrieval
  64. Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled PreferencesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  65. World Models for Cognitive Agents: Transforming Edge Intelligence in Future NetworksWorld models → World models for language agents +1
  66. Wide Reflective Equilibrium in LLM Alignment: Bridging Moral Epistemology and AI SafetyLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  67. Accelerating Diffusion LLMs via Adaptive Parallel DecodingEfficient LLM inference and serving → Diffusion LLM and MoE inference
  68. LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied TasksVision-language-action models → Generalist VLA models and benchmarks
  69. Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-EffectivelyLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  70. SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQLLLM reasoning → Knowledge- and tool-augmented reasoning
  71. CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous QueriesDeep reinforcement learning methods → RL training of language and agent models
  72. Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based RetrievalRetrieval-augmented generation → Generation and context integration
  73. Keeping an Eye on LLM Unlearning: The Hidden Risk and RemedyLLM safety and security → Machine unlearning
  74. DiffDSR: Dysarthric Speech Reconstruction Using Latent Diffusion ModelDiffusion models → Audio, speech and music
  75. Beyond Context to Cognitive Appraisal: Emotion Reasoning as a Theory of Mind Benchmark for Large Language ModelsLLM reasoning → Audio-language model reasoning
  76. TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  77. Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video GenerationDiffusion models → Video generation
  78. BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL PoliciesDeep reinforcement learning methods → Interpretable and logic-guided RL
  79. Latent Guidance in Diffusion Models for Perceptual EvaluationsDiffusion models → Diffusion foundations and sampling
  80. Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual TrackingDiffusion models → Robustness, privacy and adversarial aspects
  81. Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI AgentsWorld models → World models for language agents +2
  82. Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware ReasoningLLM reasoning → Multimodal reasoning +1
  83. ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation
  84. An application of machine learning to the motion response prediction of floating assets
  85. BatteryBERT for Realistic Battery Fault Detection Using Point-Masked Signal Modeling
  86. Comparative Analysis of QNN Architectures for Wind Power Prediction: Feature Maps and Ansatz Configurations
  87. Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors
  88. Protein Language Model Zero-Shot Fitness Predictions are Improved by Inference-only Dropout
  89. Organizational Adaptation to Generative AI in Cybersecurity
  90. CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models
  91. A Large Language Model Based Pipeline for Review of Systems Entity Recognition from Clinical Notes
  92. CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval
  93. Smotrom tvoja pa ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study
  94. PMF-CEC: Phoneme-augmented Multimodal Fusion for Context-aware ASR Error Correction with Error-specific Selective Decoding
  95. FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models
  96. Preference-based learning for news headline recommendation
  97. Extending AALpy with Passive Learning: A Generalized State-Merging Approach
  98. Introduction to Predictive Coding Networks for Machine Learning
  99. ExplainBench: A Benchmark Framework for Local Model Explanations in Fairness-Critical Applications
  100. A Compendium of Autonomous Navigation using Object Detection and Tracking in Unmanned Aerial Vehicles
All 263
  1. ChemReservoir -- An Open-Source Framework for Chemically-Inspired Reservoir Computing
  2. The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model
  3. Human Fall Detection using Transfer Learning-based 3D CNN
  4. Encoding of Demographic and Anatomical Information in Chest X-Ray-based Severe Left Ventricular Hypertrophy Classifiers
  5. Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward
  6. Machine vs Machine: Using AI to Tackle Generative AI Threats in Assessment
  7. A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and Disorders
  8. No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction
  9. Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment
  10. "Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
  11. EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices
  12. Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers
  13. Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection
  14. ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary
  15. Data Swarms: Optimizable Generation of Synthetic Evaluation Data
  16. Length Aware Speech Translation for Video Dubbing
  17. Narrative Media Framing in Political Discourse
  18. Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms
  19. iPINNER: An Iterative Physics-Informed Neural Network with Ensemble Kalman Filter
  20. Adaptive Plane Reformatting for 4D Flow MRI using Deep Reinforcement Learning
  21. Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models
  22. A Foundation Model for Non-Destructive Defect Identification from Vibrational Spectra
  23. A condensing approach to multiple shooting neural ordinary differential equation
  24. Pitfalls in Evaluating Language Model Forecasters
  25. Common Inpainted Objects In-N-Out of Context
  26. From Local Cues to Global Percepts: Emergent Gestalt Organization in Self-Supervised Vision Models
  27. Vid2Coach: Transforming How-To Videos into Task Assistants
  28. Fovea Stacking: Imaging with Dynamic Localized Aberration Correction
  29. AKReF: An argumentative knowledge representation framework for structured argumentation
  30. Concept-Centric Token Interpretation for Vector-Quantized Generative Models
  31. Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments
  32. A versatile foundation model for cine cardiac magnetic resonance image analysis tasks
  33. Thinking Out of the Box: Hybrid SAT Solving by Unconstrained Continuous Optimization
  34. Scene Detection Policies and Keyframe Extraction Strategies for Large-Scale Video Analysis
  35. OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases
  36. Uncertainty-Aware Genomic Classification of Alzheimer's Disease: A Transformer-Based Ensemble Approach with Monte Carlo Dropout
  37. Elytra: A Flexible Framework for Securing Large Vision Systems
  38. Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications
  39. PackHero: A Scalable Graph-based Approach for Efficient Packer Identification
  40. Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques
  41. Permutation-Invariant Transformer Neural Architectures for Set-Based Indoor Localization Using Learned RSSI Embeddings
  42. Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection
  43. Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models
  44. Clinical Annotations for Automatic Stuttering Severity Assessment
  45. SATA-BENCH: Select All That Apply Benchmark for Multiple Choice Questions
  46. Rethinking Neural-based Matrix Inversion: Why can't, and Where can
  47. Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics
  48. ViToSA: Audio-Based Toxic Spans Detection on Vietnamese Speech Utterances
  49. Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
  50. Social Construction of Urban Space: Using LLMs to Identify Neighborhood Boundaries From Craigslist Ads
  51. Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models
  52. LID Models are Actually Accent Classifiers: Implications and Solutions for LID on Accented Speech
  53. The Disparate Effects of Partial Information in Bayesian Strategic Learning
  54. PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion
  55. Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples
  56. Model Reprogramming Demystified: A Neural Tangent Kernel Perspective
  57. An Incremental Framework for Topological Dialogue Semantics: Efficient Reasoning in Discrete Spaces
  58. Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality
  59. Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation
  60. PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements
  61. ABCDEFGH: An Adaptation-Based Convolutional Neural Network-CycleGAN Disease-Courses Evolution Framework Using Generative Models in Health Education
  62. SatDreamer360: Multiview-Consistent Generation of Ground-Level Scenes from Satellite Imagery
  63. XYZ-IBD: Benchmarking Robust 6D Object Pose Estimation under Real-World Industrial Complexity
  64. Graph Evidential Learning for Anomaly Detection
  65. Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification
  66. Temporal Chunking Enhances Recognition of Implicit Sequential Patterns
  67. Decoding the Stressed Brain with Geometric Machine Learning
  68. Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems
  69. The Hidden Language of Harm: Examining the Role of Emojis in Harmful Online Communication and Content Moderation
  70. Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
  71. Slow Feature Analysis as Variational Inference Objective
  72. Event-based multi-view photogrammetry for high-dynamic, high-velocity target measurement
  73. ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing
  74. Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing
  75. Neural Estimation for Scaling Entropic Multimarginal Optimal Transport
  76. A "Wenlu" Brain System for Multimodal Cognition and Embodied Decision-Making: A Secure New Architecture for Deep Integration of Foundation Models and Domain Knowledge
  77. Image Restoration Learning via Noisy Supervision in the Fourier Domain
  78. ViVo: A Dataset for Volumetric Video Reconstruction and Compression
  79. Score Matching With Missing Data
  80. Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages
  81. Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach
  82. 3D Trajectory Reconstruction of Moving Points Based on Asynchronous Cameras
  83. RsGCN: Subgraph-Based Rescaling Enhances Generalization of GCNs for Solving Traveling Salesman Problems
  84. M2WLLM: Multi-Modal Multi-Task Ultra-Short-term Wind Power Prediction Algorithm Based on Large Language Model
  85. Ultra-Quantisation: Efficient Embedding Search via 1.58-bit Encodings
  86. Evaluating the Evaluation of Diversity in Commonsense Generation
  87. SSAM: Self-Supervised Association Modeling for Test-Time Adaption
  88. Pro3D-Editor : A Progressive-Views Perspective for Consistent and Precise 3D Editing
  89. Exploring In-context Example Generation for Machine Translation
  90. Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study
  91. UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
  92. Monitoring Robustness and Individual Fairness
  93. FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts
  94. Multi-Objective Neural Network-Assisted Design Optimization of Soft Fin-Ray Fingers for Enhanced Grasping Performance
  95. Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
  96. It Takes a Good Model to Train a Good Model: Generalized Gaussian Priors for Optimized LLMs
  97. Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub
  98. PVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings
  99. Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF
  100. Flashbacks to Harmonize Stability and Plasticity in Continual Learning
  101. Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset
  102. BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation
  103. A European Multi-Center Breast Cancer MRI Dataset
  104. Massively Multilingual Adaptation of Large Language Models Using Bilingual Translation Data
  105. SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
  106. XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
  107. Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models
  108. Diffusion Graph Neural Networks and Dataset for Robust Olfactory Navigation in Hazard Robotics
  109. TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction
  110. Learning MMSE Filters for OFDM Channel Estimation: Attention Transformer Gains at Linear Inference
  111. DV365: Extremely Long User History Modeling at Instagram
  112. Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization
  113. Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition
  114. Off-Policy Evaluation of Ranking Policies via Embedding-Space User Behavior Modeling
  115. G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models
  116. PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning
  117. RLAE: Reinforcement Learning-Assisted Ensemble for LLMs
  118. PointODE: Lightweight Point Cloud Learning with Neural Ordinary Differential Equations on Edge
  119. Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
  120. Learning from Double Positive and Unlabeled Data for Potential-Customer Identification
  121. Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding
  122. Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis
  123. Channel Normalization for Time Series Channel Identification
  124. TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer
  125. COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
  126. DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition
  127. Enabling Chatbots with Eyes and Ears: An Immersive Multimodal Conversation System for Dynamic Interactions
  128. A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks
  129. Dual Debiasing for Noisy In-Context Learning for Text Generation
  130. Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare
  131. JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering
  132. Bias as a Virtue: Rethinking Generalization under Distribution Shifts
  133. iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
  134. Causal Structure Discovery for Error Diagnostics of Children's ASR
  135. Scaling Textual Gradients via Sampling-Based Momentum
  136. Position: Olfaction Standardization is Essential for the Advancement of Embodied Artificial Intelligence
  137. Sequence-Based Identification of First-Person Camera Wearers in Third-Person Views
  138. Adaptive-VP: A Framework for LLM-Based Virtual Patients that Adapts to Trainees' Dialogue to Facilitate Nurse Communication Training
  139. MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation
  140. Learning Semantics, Not Addresses: Runtime Neural Prefetching for Far Memory
  141. Spectral Insights into Data-Oblivious Critical Layers in Large Language Models
  142. Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG
  143. Label-shift robust federated feature screening for high-dimensional classification
  144. Neural Network-based Information-Theoretic Transceivers for High-Order Modulation Schemes
  145. Feature Fusion and Knowledge-Distilled Multi-Modal Multi-Target Detection
  146. FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
  147. textttAVROBUSTBENCH: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
  148. Exploring the Performance of Perforated Backpropagation through Further Experiments
  149. Enabling Secure and Ephemeral AI Workloads in Data Mesh Environments
  150. Beyond Winning: Margin of Victory Relative to Expectation Unlocks Accurate Skill Ratings
  151. Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs
  152. The iNaturalist Sounds Dataset
  153. OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning
  154. Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification
  155. Recover Experimental Data with Selection Bias using Counterfactual Logic
  156. Test-time Vocabulary Adaptation for Language-driven Object Detection
  157. Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus
  158. Accurate Estimation of Mutual Information in High Dimensional Data
  159. Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties
  160. dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation
  161. SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation
  162. Active Learning via Regression Beyond Realizability
  163. Power-of-Two (PoT) Weights in Large Language Models (LLMs)