mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 24 May 2025

310 papers

  1. Test-Time Scaling of Diffusion Models via Noise Trajectory SearchDiffusion models → Diffusion foundations and sampling
  2. MorphServe: Efficient and Workload-Aware LLM Serving via Runtime Quantized Layer Swapping and KV Cache ResizingEfficient LLM inference and serving → Serving systems and request scheduling
  3. From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time ScalingLLM reasoning → Reinforcement learning for reasoning +1
  4. Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent EditingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  5. Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video GenerationDiffusion models → Video generation
  6. Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer AssistanceRetrieval-augmented generation → Time series and agricultural RAG
  7. DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion TransformersDiffusion models → Inverse problems and image restoration
  8. Equivariant Flow Matching for Point Cloud AssemblyDiffusion models → 3D, point cloud and scene generation
  9. Caption This, Reason That: VLMs Caught in the MiddleLLM reasoning → Multimodal reasoning +1
  10. CiRL: Open-Source Environments for Reinforcement Learning in Circular Economy and Net ZeroDeep reinforcement learning methods → RL for energy, networks and operations
  11. MOSLIM:Align with diverse preferences in prompts through reward classificationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  12. Language Model Distillation: A Temporal Difference Imitation Learning PerspectiveOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  13. Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo QueryEfficient LLM inference and serving → KV cache optimization
  14. Federated Retrieval-Augmented Generation: A Systematic Mapping StudyRetrieval-augmented generation → RAG pipeline design and evaluation
  15. Climate Implications of Diffusion-based Generative Visual AI Systems and their Mass AdoptionDiffusion models → Diffusion foundations and sampling
  16. Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent ApproachLLM agents and tool use → Agent threats, guardrails and governance
  17. CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and InteractionsLLM agents and tool use → Financial trading and forecasting agents
  18. DiffusionRL: Efficient Training of Diffusion Policies for Robotic Grasping Using RL-Adapted Large-Scale DatasetsDiffusion models → Diffusion and flow policies for robotics
  19. Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware PermutationDiffusion models → Video generation
  20. Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box FrameworkLLM safety and security → Audio jailbreaks and speech backdoors
  21. Inference Compute-Optimal Video Vision Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  22. Smoothie: Smoothing Diffusion on Token Embeddings for Text GenerationDiffusion models → Discrete and text diffusion
  23. Multi-Party Conversational Agents: A SurveyLLM agents and tool use → General LLM agent frameworks and benchmarks
  24. v1: Learning to Point Visual Tokens for Multimodal Grounded ReasoningLLM reasoning → Multimodal reasoning
  25. Localizing Knowledge in Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
  26. Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning
  27. On the Effect of Negative Gradient in Group Relative Deep Reinforcement OptimizationLLM reasoning → Reinforcement learning for reasoning +1
  28. LiteCUA: Computer as MCP Server for Computer-Use Agent on AIOSLLM agents and tool use → Tool learning and function calling
  29. How to build a consistency model: Learning flow maps via self-distillationDiffusion models → Flow matching, time series and science +1
  30. AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware BudgetingLLM reasoning → Test-time compute and efficient thinking
  31. Parameter-Efficient CLIP Adaptation for 3D Understanding via Unified TokenizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  32. SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  33. VORTA: Efficient Video Diffusion via Routing Sparse AttentionDiffusion models → Video generation
  34. Mitigating Deceptive Alignment via Self-MonitoringLLM reasoning → Prompting and chain-of-thought reasoning
  35. ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  36. Genie Centurion: Accelerating Scalable Real-World Robot Training with Human Rewind-and-Refine GuidanceVision-language-action models → Reinforcement learning and post-training
  37. On the Dual-Use Dilemma in Physical Reasoning and ForceLLM reasoning → Spatial and embodied reasoning
  38. Leveraging Per-Instance Privacy for Machine UnlearningLLM safety and security → Machine unlearning
  39. Soft Weighted Machine UnlearningLLM safety and security → Machine unlearning
  40. DreamPolicy: A Unified World-model Policy for Scalable Humanoid LocomotionWorld models → Humanoid and legged locomotion world models
  41. Evaluating Intra-firm LLM Alignment Strategies in Business ContextsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  42. OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ TasksMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  43. Exploring the limits of strong membership inference attacks on large language modelsLLM safety and security → Membership inference attacks
  44. StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style PerturbationsDiffusion models → Robustness, privacy and adversarial aspects
  45. GenPO: Generative Diffusion Models Meet On-Policy Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  46. How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled BenchmarkLLM reasoning → Mathematical reasoning
  47. The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT DistillationLLM reasoning → Prompting and chain-of-thought reasoning
  48. ToDRE: Effective Visual Token Pruning via Token Diversity and Task RelevanceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  49. C3-Bench: The Things Real Disturbing LLM based Agent in Multi-TaskingLLM agents and tool use → General LLM agent frameworks and benchmarks
  50. LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  51. Rethinking Direct Preference Optimization in Diffusion ModelsLLM reasoning → Reinforcement learning for reasoning +2
  52. Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction PredictionDeep reinforcement learning methods → RL training of language and agent models
  53. Optimal Transport-Based Token Weighting scheme for Enhanced Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  54. VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement LearningVision-language-action models → Reinforcement learning and post-training
  55. GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal SynthesisRetrieval-augmented generation → RAG robustness and adaptive retrieval
  56. Steering LLM Reasoning Through Bias-Only AdaptationLLM reasoning → Test-time compute and efficient thinking +1
  57. AI-Researcher: Autonomous Scientific InnovationLLM reasoning → Knowledge- and tool-augmented reasoning +1
  58. GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning ChainsLLM reasoning → Spatial and embodied reasoning +1
  59. Benchmarking and Rethinking Knowledge Editing for Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  60. ReasonMap: Towards Fine-Grained Visual Reasoning from Transit MapsLLM reasoning → Multimodal reasoning +1
  61. Restoring Real-World Images with an Internal Detail Enhancement Diffusion ModelDiffusion models → Inverse problems and image restoration
  62. Concept Concentration for Faithful Representation InterventionLLM safety and security → Safety alignment, refusal and guardrails
  63. MoveGPT: Scaling Mobility Foundation Models with Spatially-Aware Mixture of ExpertsMixture-of-experts → MoE for time series and graphs
  64. DVD-Quant: Data-free Video Diffusion Transformers QuantizationDiffusion models → Diffusion foundations and sampling
  65. MLLMs are Deeply Affected by Modality BiasMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  66. LLM-QFL: Distilling Large Language Model for Quantum Federated LearningKnowledge distillation → Federated, robust and private distillation
  67. ProphetDWM: A Driving World Model for Rolling Out Future Actions and VideosWorld models → World models for autonomous driving +1
  68. STFlow: Data-Coupled Flow Matching for Geometric Trajectory SimulationDiffusion models → Flow matching, time series and science
  69. SEW: Self-Evolving Agentic Workflows for Automated Code GenerationLLM agents and tool use → Software engineering coding agents +1
  70. Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and FasterLLM reasoning → Prompting and chain-of-thought reasoning
  71. DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent CollaborationLLM reasoning → Clinical and biomedical applications +1
  72. Think Before You Accept: Semantic Reflective Verification for Faster Speculative DecodingLLM reasoning → Test-time compute and efficient thinking +1
  73. Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation AdapterMixture-of-experts → Multimodal MoE models
  74. PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMsLLM reasoning → Test-time compute and efficient thinking +1
  75. Rethinking Causal Mask Attention for Vision-Language InferenceLLM reasoning → Multimodal reasoning +1
  76. Doc-CoB: Enhancing Document Understanding with Visual Chain-of-Boxes ReasoningLLM reasoning → Multimodal reasoning
  77. Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal EvaluatorsLLM reasoning → Multimodal reasoning
  78. Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference AlignmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  79. MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality DemonstrationsLLM agents and tool use → Reinforcement learning for LLM agents +1
  80. Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent NetworksDeep reinforcement learning methods → Deep RL algorithms and representations
  81. Safety Alignment via Constrained Knowledge UnlearningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  82. Guiding the Experts: Semantic Priors for Efficient and Focused MoE RoutingMixture-of-experts → Vision mixture-of-experts
  83. Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive ActivationsDiffusion models → Image generation, text-to-image and editing
  84. The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation SystemsRetrieval-augmented generation → Privacy and security of RAG
  85. Removal of Hallucination on Hallucination: Debate-Augmented RAGRetrieval-augmented generation → Hallucination detection in RAG
  86. Enhancing Efficiency and Exploration in Reinforcement Learning for LLMsLLM reasoning → Reinforcement learning for reasoning
  87. MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures -- A Comprehensive FrameworkLLM agents and tool use → Agent threats, guardrails and governance
  88. CoT-RVS: Zero-Shot Chain-of-Thought Reasoning Segmentation for VideosLLM reasoning → Multimodal reasoning
  89. Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent ManipulationLLM safety and security → Jailbreaking
  90. Unraveling Misinformation Propagation in LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  91. Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
  92. Benchmarking Poisoning Attacks against Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
  93. Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
  94. Generative RLHF-V: Learning Principles from Multi-modal Human PreferenceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  95. MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMsMultimodal LLMs / vision-language models → Medical vision-language models +1
  96. TK-Mamba: Marrying KAN With Mamba for Text-Driven 3D Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  97. Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its MiscibilityDiffusion models → Diffusion foundations and sampling
  98. Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment TuningMultimodal LLMs / vision-language models → Medical vision-language models
  99. G1: Teaching LLMs to Reason on Graphs with Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning
  100. Beyond Masked and Unmasked: Discrete Diffusion Models via Partial MaskingDiffusion models → Discrete and text diffusion
All 310
  1. Formally Solving Answer-Construction Problems in LeanLLM reasoning → Mathematical reasoning
  2. The Prompt is Mightier than the ExampleLLM reasoning → Prompting and chain-of-thought reasoning
  3. Retrieval Augmented Decision-Making: A Requirements-Driven, Multi-Criteria Framework for Structured Decision SupportRetrieval-augmented generation → RAG pipeline design and evaluation
  4. Canonical Policy: Learning Canonical 3D Representation for SE(3)-Equivariant PolicyOffline RL and imitation learning from data → Robot manipulation imitation learning
  5. HonestFace: Towards Honest Face Restoration with One-Step Diffusion ModelDiffusion models → Inverse problems and image restoration
  6. Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational BenchmarkLLM reasoning → Prompting and chain-of-thought reasoning
  7. A Survey of LLM × DATARetrieval-augmented generation → RAG pipeline design and evaluation +1
  8. EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication NetworksLLM agents and tool use → Agentic AI for wireless networks
  9. Anchored Diffusion Language ModelDiffusion models → Discrete and text diffusion
  10. On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
  11. Hybrid Latent Reasoning via Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking
  12. μ-MoE: Test-Time Pruning as Micro-Grained Mixture-of-ExpertsMixture-of-experts → Efficient MoE training and inference systems
  13. BRIT: Bidirectional Retrieval over Unified Image-Text GraphRetrieval-augmented generation → Multimodal RAG
  14. Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  15. OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization DataDiffusion models → Image generation, text-to-image and editing
  16. DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding SpacesMechanistic interpretability → Sparse autoencoder training and evaluation
  17. Efficient Long CoT Reasoning in Small Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  18. TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  19. MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving
  20. Two-dimensional Parallel Tempering for Constrained Optimization
  21. Making deep neural networks work for medical audio: representation, compression and domain adaptation
  22. From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences
  23. Why Do Some Inputs Break Low-Bit LLM Quantization?
  24. CRITS: Convolutional Rectifier for Interpretable Time Series Classification
  25. Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
  26. BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook
  27. Scientific machine learning in Hydrology: a unified perspective
  28. Spore in the Wild: A Case Study of Spore.fun as an Open-Environment Evolution Experiment with Sovereign AI Agents on TEE-Secured Blockchains
  29. Causal Discovery in Dynamic Fading Wireless Networks
  30. Pruning for Performance: Efficient Idiom and Metaphor Classification in Low-Resource Konkani Using mBERT
  31. Mind the Gap: A Practical Attack on GGUF Quantization
  32. Image denoising as a conditional expectation
  33. OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models
  34. FAR: Function-preserving Attention Replacement for IMC-friendly Inference
  35. Do LLMs have a Gender (Entropy) Bias?
  36. Machine Theory of Mind and the Structure of Human Values
  37. Towards Emotionally Consistent Text-Based Speech Editing: Introducing EmoCorrector and The ECD-TSE Dataset
  38. Latent Trajectory Dynamics in Large Language Models: A Manifold Evolution Framework with Empirical Validation
  39. Challenges for artificial cognitive systems
  40. Assessing the Capability of LLMs in Solving POSCOMP Questions
  41. Predictive Performance of Deep Quantum Data Re-uploading Models
  42. Multi-Scale Manifold Alignment for Interpreting Large Language Models: A Unified Information-Geometric Framework
  43. An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images
  44. Joint-stochastic-approximation Random Fields with Application to Semi-supervised Learning
  45. Building a Functional Machine Translation Corpus for Kpelle
  46. StandUp4AI: A New Multilingual Dataset for Humor Detection in Stand-up Comedy Videos
  47. Unsupervised cell segmentation by fast Gaussian Processes
  48. PromptWise: Online Learning for Cost-Aware Prompt Assignment in Generative Models
  49. Beyond Domain Randomization: Event-Inspired Perception for Visually Robust Adversarial Imitation from Videos
  50. Improving Ad matching via Cluster-Adaptive Keyword Expansion and Relevance tuning
  51. Marginal Fairness: Fair Decision-Making under Risk Measures
  52. Digital Overconsumption and Waste: A Closer Look at the Impacts of Generative AI
  53. Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects
  54. Conformal Prediction for Uncertainty Estimation in Drug-Target Interaction Prediction
  55. Security Concerns for Large Language Models: A Survey
  56. KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning
  57. LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
  58. Partition Generative Modeling: Masked Modeling Without Masks
  59. SD-OVON: A Semantics-aware Dataset and Benchmark Generation Pipeline for Open-Vocabulary Object Navigation in Dynamic Scenes
  60. REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing
  61. RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
  62. Non-Stationary Lipschitz Bandits
  63. Eye-See-You: Reverse Pass-Through VR and Head Avatars
  64. Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing
  65. Distribution-Aware Mobility-Assisted Decentralized Federated Learning
  66. Writing Like the Best: Exemplar-Based Expository Text Generation
  67. Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning
  68. Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems
  69. The Theory of the Unique Latent Pattern: A Formal Epistemic Framework for Structural Singularity in Complex Systems
  70. Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework
  71. Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality
  72. MSLAU-Net: A Hybrid CNN-Transformer Network for Medical Image Segmentation
  73. High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
  74. Reasoning Segmentation for Images and Videos: A Survey
  75. Governing Equation Discovery from Data Based on Differential Invariants
  76. Supervised and Unsupervised protocols for hetero-associative neural networks
  77. From Output to Evaluation: Does Raw Instruction-Tuned Code LLMs Output Suffice for Fill-in-the-Middle Code Generation?
  78. Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
  79. A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements
  80. Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains
  81. A generalised editor calculus (Short Paper)
  82. HD-PiSSA: High-Rank Distributed Orthogonal Adaptation
  83. Disentangling Knowledge Representations for Large Language Model Editing
  84. CageNet: A Meta-Framework for Learning on Wild Meshes
  85. Dual-Path Stable Soft Prompt Generation for Domain Generalization
  86. Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization
  87. Towards an automatic method for generating topical vocabulary test forms for specific reading passages
  88. Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding
  89. Smart Energy Guardian: A Hybrid Deep Learning Model for Detecting Fraudulent PV Generation
  90. Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection
  91. Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning
  92. Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning
  93. Season-Independent PV Disaggregation Using Multi-Scale Net Load Temporal Feature Extraction and Weather Factor Fusion
  94. C3R: Channel Conditioned Cell Representations for unified evaluation in microscopy imaging
  95. MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
  96. AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping
  97. MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation
  98. Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation
  99. Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
  100. FusionTrack: End-to-End Multi-Object Tracking in Arbitrary Multi-View Environment
  101. Bioacoustic Geolocation: Species Sounds as Geographic Signals
  102. Deep Learning for Breast Cancer Detection: Comparative Analysis of ConvNeXT and EfficientNet
  103. LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning
  104. Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers
  105. Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer
  106. Improving Bangla Linguistics: Advanced LSTM, Bi-LSTM, and Seq2Seq Models for Translating Sylheti to Modern Bangla
  107. A General Knowledge Injection Framework for ICD Coding
  108. Towards Semantic Integration of Opinions: Unified Opinion Concepts Ontology and Extraction Task
  109. Affective Image Editing: Shaping Emotional Factors via Text Descriptions
  110. MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention
  111. Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study
  112. AI for Regulatory Affairs: Balancing Accuracy, Interpretability, and Computational Cost in Medical Device Classification
  113. AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa
  114. Simultaneous Optimization of Efficiency and Degradation in Tunable HTL-Free Perovskite Solar Cells with MWCNT-Integrated Back Contact Using a Machine Learning-Derived Polynomial Regressor
  115. Large Language Models in the Task of Automatic Validation of Text Classifier Predictions
  116. When Do AI Gains Become Broadly Shareable? A Policy Threshold for AI-Driven Automation
  117. WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation
  118. From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation
  119. TULUN: Transparent and Adaptable Low-resource Machine Translation
  120. PD3F: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models
  121. Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold Regularization
  122. Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts
  123. Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models
  124. Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems
  125. ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
  126. Memory-Efficient Super-Resolution of 3D Micro-CT Images Using Octree-Based GANs: Enhancing Resolution and Segmentation Accuracy
  127. So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection
  128. Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
  129. Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics
  130. Climate-Eval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change
  131. Why Not Replace? Sustaining Long-Term Visual Localization via Handcrafted-Learned Feature Collaboration on CPU
  132. On the Emergence of Linear Analogies in Word Embeddings
  133. SuperGS: Consistent and Detailed 3D Super-Resolution Scene Reconstruction via Gaussian Splatting
  134. Riverine Flood Prediction and Early Warning in Mountainous Regions using Artificial Intelligence
  135. Enhancing Generalization of Speech Large Language Models with Multi-Task Behavior Imitation and Speech-Text Interleaving
  136. Anomaly detection in radio galaxy data with trainable COSFIRE filters
  137. ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
  138. Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models
  139. Asymmetric Duos: Sidekicks Improve Uncertainty
  140. SerendibCoins: Exploring The Sri Lankan Coins Dataset
  141. Tropical Geometry Based Edge Detection Using Min-Plus and Max-Plus Algebra
  142. Mind The Gap: Quantifying Mechanistic Gaps in Algorithmic Reasoning via Neural Compilation
  143. Trust, or Don't Predict: Introducing the CWSA Family for Confidence-Aware Model Evaluation
  144. MAVL: A Multilingual Audio-Video Lyrics Dataset for Animated Song Translation
  145. MLRan: A Behavioural Dataset for Ransomware Analysis and Detection
  146. RASMALAI: Resources for Adaptive Speech Modeling in Indian Languages with Accents and Intonations
  147. Spiking Neural Networks Need High Frequency Information
  148. From Entity-Centric to Goal-Oriented Graphs: Enhancing LLM Knowledge Retrieval in Minecraft
  149. Exemplar-Free Continual Learning for State Space Models
  150. LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression
  151. LLMs for Supply Chain Management
  152. Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
  153. EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
  154. HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection
  155. RvLLM: LLM Runtime Verification with Domain Knowledge
  156. On Denoising Walking Videos for Gait Recognition
  157. Mechanical in-sensor computing: a programmable meta-sensor for structural damage classification without external electronic power
  158. Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability?
  159. Autocomp: A Powerful and Portable Code Optimizer for Tensor Accelerators
  160. VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis
  161. Learning without Isolation: Pathway Protection for Continual Learning
  162. Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
  163. PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning
  164. From Word to World: Evaluate and Mitigate Culture Bias in LLMs via Word Association Test
  165. Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning
  166. TAG-INSTRUCT: Controlled Instruction Complexity Enhancement through Structure-based Augmentation
  167. LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
  168. MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors
  169. Composable Cross-prompt Essay Scoring by Merging Models
  170. ReflectGAN: Modeling Vegetation Effects for Soil Carbon Estimation from Satellite Imagery
  171. B-score: Detecting biases in large language models using response history
  172. Business as Rulesual: A Benchmark and Framework for Business Rule Flow Modeling with LLMs
  173. RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval
  174. Mind Your Vision: Multimodal Estimation of Refractive Disorders Using Electrooculography and Eye Tracking
  175. Convergence, Sticking and Escape: Stochastic Dynamics Near Critical Points in SGD
  176. TS-URGENet: A Three-stage Universal Robust and Generalizable Speech Enhancement Network
  177. Preserving AUC Fairness in Learning with Noisy Protected Groups
  178. CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs
  179. Scalable Deep Basis Kernel Gaussian Processes
  180. metaTextGrad: Automatically optimizing language model optimizers
  181. How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation
  182. LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs
  183. Test-Time Adaptation with Binary Feedback
  184. Enhancing Training Data Attribution with Representational Optimization
  185. AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
  186. SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs
  187. How Particle System Theory Enhances Hypergraph Message Passing
  188. Knowledge Fusion of Large Language Models Via Modular SkillPacks
  189. The Pragmatic Mind of Machines: Tracing the Emergence of Pragmatic Competence in Large Language Models
  190. FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation
  191. Statistical Inference under Performativity
  192. Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
  193. Grounding Bodily Awareness in Visual Representations for Efficient Policy Learning
  194. Comparing Human and AI Rater Effects Using the Many-Facet Rasch Model
  195. Syn3DTxt: Embedding 3D Cues for Scene Text Generation
  196. Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise
  197. ZooplanktonBench: A Geo-Aware Zooplankton Recognition and Classification Dataset from Marine Observations
  198. A Survey of Large Language Models for Data Challenges in Graphs
  199. Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services
  200. Chemical classification program synthesis using generative artificial intelligence
  201. Purdah and Patriarchy: Evaluating and Mitigating South Asian Biases in Open-Ended Multilingual LLM Generations
  202. BiomechGPT: Extending Motion-Language Models to Clinical Motion Understanding
  203. From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data
  204. Performance and Generalizability Impacts of Incorporating Location Encoders into Deep Learning for Dynamic PM2.5 Estimation
  205. MPE-TTS: Customized Emotion Zero-Shot Text-To-Speech Using Multi-Modal Prompt
  206. MedScore: Generalizable Factuality Evaluation of Free-Form Medical Answers by Domain-adapted Claim Decomposition and Verification
  207. Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling
  208. Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
  209. Voice of a Continent: Mapping Africa's Speech Technology Frontier
  210. Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning