mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 26 Aug 2025

357 papers

  1. ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse AutoencodersMechanistic interpretability → Interpreting biomedical and science models
  2. Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware GenerationLLM reasoning → Test-time compute and efficient thinking
  3. ChipChat: Low-Latency Cascaded Conversational Agent in MLXLLM agents and tool use → General LLM agent frameworks and benchmarks
  4. Test of Time: Rethinking Temporal Signal of Benchmark ContaminationLLM reasoning → Test-time compute and efficient thinking
  5. Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete DiffusionDiffusion models → 3D, point cloud and scene generation
  6. QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programmingLLM agents and tool use → Medical and scientific domain agents
  7. ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar ArgumentationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  8. Gentle Object Retraction in Dense Clutter Using Multimodal Force Sensing and Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  9. Reliable Weak-to-Strong Monitoring of LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
  10. The Sample Complexity of Membership Inference and Privacy AuditingLLM safety and security → Membership inference attacks
  11. Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies)Retrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  12. Fine-Tuning Vision-Language Models for Neutrino Event Analysis in High-Energy Physics ExperimentsLLM reasoning → Multimodal reasoning +1
  13. HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts InferenceMixture-of-experts → Efficient MoE training and inference systems
  14. Grounding the Ungrounded: A Spectral-Graph Framework for Quantifying Hallucinations in Multimodal LLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  15. LongReasonArena: A Long Reasoning Benchmark for Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  16. Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space ArchitectureState-space sequence models (S4, Mamba) → Physiological signal modeling
  17. Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event ExtractionLLM agents and tool use → Agent memory systems
  18. Context-Adaptive Synthesis and Compression for Enhanced Retrieval-Augmented Generation in Complex DomainsRetrieval-augmented generation → Generation and context integration
  19. Re:Frame -- Retrieving Experience From Associative MemoryOffline RL and imitation learning from data → Offline RL algorithms +1
  20. AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-raysLLM agents and tool use → Medical and scientific domain agents
  21. (DEMO) Deep Reinforcement Learning Based Resource Allocation in Distributed IoT SystemsDeep reinforcement learning methods → RL for energy, networks and operations
  22. Model Context Protocols in Adaptive Transport Systems: A SurveyLLM agents and tool use → Tool learning and function calling
  23. MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
  24. Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  25. Understanding Tool-Integrated ReasoningLLM reasoning → Reasoning for agents, planning and code +1
  26. The Ramon Llull's Thinking Machine for Automated IdeationLLM reasoning → Reasoning benchmarks and evaluation
  27. All-in-One Slider for Attribute Manipulation in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  28. MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluationLLM agents and tool use → Medical and scientific domain agents
  29. RDDM: Practicing RAW Domain Diffusion Model for Real-world Image RestorationDiffusion models → Inverse problems and image restoration
  30. QuadKAN: KAN-Enhanced Quadruped Motion Control via End-to-End Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  31. Active Query Selection for Crowd-Based Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  32. Hybrid Deep Searcher: Scalable Parallel and Sequential Search ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +2
  33. Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  34. Composition and Alignment of Diffusion Models using Constrained LearningDiffusion models → Diffusion foundations and sampling
  35. Reasoning LLMs in the Medical Domain: A Literature SurveyLLM reasoning → Clinical and biomedical applications
  36. Trustworthy Agents for Electronic Health Records through Confidence EstimationLLM agents and tool use → Medical and scientific domain agents
  37. Retrieval-Augmented Generation for Natural Language Art Provenance Searches in the Getty Provenance IndexRetrieval-augmented generation → Multimodal RAG
  38. Federated Fine-Tuning of Sparsely-Activated Large Language Models on Resource-Constrained DevicesMixture-of-experts → Federated mixture-of-experts
  39. HiPlan: Hierarchical Planning for LLM-Based Agents with Adaptive Global-Local GuidanceLLM agents and tool use → General LLM agent frameworks and benchmarks
  40. Attackers Strike Back? Not Anymore -- An Ensemble of RL Defenders Awakens for APT DetectionDeep reinforcement learning methods → Adversarial robustness and RL in finance
  41. Tackling Federated Unlearning as a Parameter Estimation ProblemLLM safety and security → Federated unlearning and poisoning
  42. A Concurrent Modular Agent: Framework for Autonomous LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  43. Investigating Advanced Reasoning of Large Language Models via Black-Box Environment InteractionLLM reasoning → Reasoning benchmarks and evaluation
  44. MovieCORE: COgnitive REasoning in MoviesLLM reasoning → Multimodal reasoning +1
  45. GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository LeveragingLLM agents and tool use → Software engineering coding agents
  46. Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin ToneMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  47. Interpretable by AI Mother Tongue: Native Symbolic Reasoning in Neural ModelsLLM reasoning → Reasoning benchmarks and evaluation
  48. Enhancing Document VQA Models via Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
  49. SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert SubstitutionMixture-of-experts → Efficient MoE training and inference systems
  50. Energy-Based Flow Matching for Generating 3D Molecular StructureDiffusion models → Flow matching, time series and science
  51. Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent frameworkRetrieval-augmented generation → Privacy and security of RAG +2
  52. Interpretable Decision-Making for End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
  53. Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
  54. Challenges for Generative AI in Legal ReasoningLLM reasoning → Reasoning for agents, planning and code
  55. DRMD: Deep Reinforcement Learning for Malware Detection under Concept DriftDeep reinforcement learning methods → Adversarial robustness and RL in finance
  56. On the Application of Diffusion Models for Simultaneous Denoising and DereverberationDiffusion models → Audio, speech and music
  57. Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and CorrectnessLLM reasoning → Mathematical reasoning +1
  58. Learning Acrobatic Flight from PreferencesDeep reinforcement learning methods → RL for robot navigation and UAV control
  59. STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate ReasoningLLM reasoning → LLM reasoning for recommendation +1
  60. Hidden Tail: Adversarial Image Causing Stealthy Resource Consumption in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  61. CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative TasksLLM agents and tool use → Reinforcement learning for LLM agents
  62. Harnessing Rule-Based Reinforcement Learning for Enhanced Grammatical Error CorrectionDeep reinforcement learning methods → RL training of language and agent models
  63. ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking +1
  64. Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic UnitsLLM reasoning → Test-time compute and efficient thinking
  65. Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
  66. UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context LearningMixture-of-experts → MoE large language models
  67. CrossHOI-Bench: A Unified Benchmark for HOI Evaluation across Vision-Language Models and HOI-Specific MethodsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  68. Chronological Passage Assembling in RAG framework for Temporal Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  69. CAC-CoT: Connector-Aware Compact Chain-of-Thought for Efficient Reasoning Data Synthesis Across Dual-System Cognitive TasksLLM reasoning → Prompting and chain-of-thought reasoning +1
  70. Stability and Generalization for Bellman ResidualsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +2
  71. Rethinking Caching for LLM Serving Systems: Beyond Traditional HeuristicsLLM reasoning → Test-time compute and efficient thinking +1
  72. Bias Mitigation Agent: Optimizing Source Selection for Fair and Balanced Knowledge RetrievalLLM agents and tool use → Web, search, and research agents
  73. VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for MinecraftLLM agents and tool use → Reinforcement learning for LLM agents
  74. AppAgent-Pro: A Proactive GUI Agent System for Multidomain Information Integration and User AssistanceLLM agents and tool use → GUI and mobile agents
  75. Utilizing Training Data to Improve LLM Reasoning for Tabular UnderstandingLLM reasoning → Knowledge- and tool-augmented reasoning
  76. Requirements Development and Formalization for Reliable Code Generation: A Multi-Agent VisionLLM agents and tool use → Software engineering coding agents
  77. Tailored Teaching with Balanced Difficulty: Elevating Reasoning in Multimodal Chain-of-Thought via Prompt CurriculumLLM reasoning → Prompting and chain-of-thought reasoning
  78. Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning TasksLLM reasoning → Test-time compute and efficient thinking +1
  79. Auditing Approximate Machine Unlearning for Differentially Private ModelsLLM safety and security → Machine unlearning
  80. MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool useLLM agents and tool use → Reinforcement learning for LLM agents
  81. Membership Inference Attacks on In-Context Examples in LLM-based Recommender SystemsLLM safety and security → Membership inference attacks
  82. FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous EdgeMixture-of-experts → Federated mixture-of-experts
  83. UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
  84. PRISM: Robust VLM Alignment with Principled Reasoning for Integrated Safety in MultimodalityLLM reasoning → Reasoning for agents, planning and code +2
  85. Thinking Before You Speak: A Proactive Test-time Scaling ApproachLLM reasoning → Reasoning benchmarks and evaluation
  86. RLMR: Reinforcement Learning with Mixed Rewards for Creative WritingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
  87. STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided ReasoningLLM reasoning → Time series reasoning
  88. Decouple, Reorganize, and Fuse: A Multimodal Framework for Cancer Survival PredictionMixture-of-experts → Medical and biomedical MoE
  89. Bias-Adjusted LLM Agents for Human-Like Decision-Making via Behavioral EconomicsLLM agents and tool use → Social simulation and multi-agent debate
  90. What do language models model? Transformers, automata, and the format of thoughtLLM reasoning → Reasoning benchmarks and evaluation
  91. SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene SynthesisDiffusion models → 3D, point cloud and scene generation
  92. History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRLLLM reasoning → Reinforcement learning for reasoning
  93. DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language ModelLLM reasoning → Clinical and biomedical applications
  94. Strata: Hierarchical Context Caching for Long Context Language Model ServingEfficient LLM inference and serving → KV cache optimization
  95. The Mind's Eye: A Multi-Faceted Reward Framework for Guiding Visual Metaphor GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  96. Development and Evaluation of an AI-Driven Telemedicine System for Prenatal Healthcare
  97. A Masked Representation Learning to Model Cardiac Functions Using Multiple Physiological Signals
  98. Topic Identification in LLM Input-Output Pairs through the Lens of Information Bottleneck
  99. Real-Time Detection of Hallucinated Entities in Long-Form Generation
  100. Latent Variable Modeling in Multi-Agent Reinforcement Learning via Expectation-Maximization for UAV-Based Wildlife Protection
All 357
  1. Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies
  2. Wrong Face, Wrong Move: The Social Dynamics of Emotion Misperception in Agent-Based Models
  3. Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition
  4. Experimental Assessment of a Multi-Class AI/ML Architecture for Real-Time Characterization of Cyber Events in a Live Research Reactor
  5. Language and Experience: A Computational Model of Social Learning in Complex Tasks
  6. Mitigating Clinician Information Overload: Generative AI for Integrated EHR and RPM Data Analysis
  7. SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits
  8. AnomalyExplainer Explainable AI for LLM-based anomaly detection using BERTViz and Captum
  9. The Collaborations among Healthcare Systems, Research Institutions, and Industry on Artificial Intelligence Research and Development
  10. T-MLP: Tailed Multi-Layer Perceptron for Level-of-Detail Signal Representation
  11. Hybrid Perception and Equivariant Diffusion for Robust Multi-Node Rebar Tying
  12. OpenTie: Open-vocabulary Sequential Rebar Tying System
  13. MolErr2Fix: Benchmarking LLM Trustworthiness in Chemistry via Modular Error Detection, Localization, Explanation, and Revision
  14. Quantum-inspired probability metrics define a complete, universal space for statistical learning
  15. Granite Embedding R2 Models
  16. Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
  17. CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples
  18. Data-Efficient Point Cloud Semantic Segmentation Pipeline for Unimproved Roads
  19. Artificial Intelligence for CRISPR Guide RNA Design: Explainable Models and Off-Target Safety
  20. A Machine Learning Approach to Volumetric Computations of Solid Pulmonary Nodules
  21. MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space
  22. Improving Low-Resource Translation with Dictionary-Guided Fine-Tuning and RL: A Spanish-to-Wayuunaiki Study
  23. DeepAtlas: a tool for effective manifold learning
  24. Concurrent validity of computer-vision artificial intelligence player tracking software using broadcast footage
  25. Automatic Question & Answer Generation Using Generative Large Language Model (LLM)
  26. SIExVulTS: Sensitive Information Exposure Vulnerability Detection System using Transformer Models and Static Analysis
  27. Weighted Levenberg-Marquardt methods for fitting multichannel nuclear cross section data
  28. Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset
  29. Incentivized Lipschitz Bandits
  30. Addressing Weak Authentication like RFID, NFC in EVs and EVCs using AI-powered Adaptive Authentication
  31. Bridging Language Gaps: Enhancing Few-Shot Language Adaptation
  32. "She was useful, but a bit too optimistic": Augmenting Design with Interactive Virtual Personas
  33. Stack Trace-Based Crash Deduplication with Transformer Adaptation
  34. Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods
  35. On Surjectivity of Neural Networks: Can you elicit any behavior from your model?
  36. Efficiently Generating Multidimensional Calorimeter Data with Tensor Decomposition Parameterization
  37. Data-Augmented Few-Shot Neural Emulator for Computer-Model System Identification
  38. Is data-efficient learning feasible with quantum models?
  39. Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs
  40. A perishable ability? The future of writing in the face of generative artificial intelligence
  41. MS-ConTab: Multi-Scale Contrastive Learning of Mutation Signatures for Pan Cancer Representation and Stratification
  42. Differentiable multiphase flow model for physics-informed machine learning in reservoir pressure management
  43. Even Heads Fix Odd Errors: Mechanistic Discovery and Surgical Repair in Transformer Attention
  44. Kolmogorov-Arnold Representation for Symplectic Learning: Advancing Hamiltonian Neural Networks
  45. One Joke to Rule them All? On the (Im)possibility of Generalizing Humor
  46. Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding
  47. GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
  48. DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting
  49. Aleks: AI powered Multi Agent System for Autonomous Scientific Discovery via Data-Driven Approaches in Plant Science
  50. Towards Quantum Machine Learning for Malicious Code Analysis
  51. Database Entity Recognition with Data Augmentation and Deep Learning
  52. Aggregate Fictitious Play for Learning in Anonymous Polymatrix Games (Extended Version)
  53. Inference of Human-derived Specifications of Object Placement via Demonstration
  54. Graph Data Modeling: Molecules, Proteins, & Chemical Processes
  55. Efficient Multi-Source Knowledge Transfer by Model Merging
  56. Memorization in Graph Neural Networks
  57. EffNetViTLoRA: An Efficient Hybrid Deep Learning Approach for Alzheimer's Disease Diagnosis
  58. Quantum Entanglement as Super-Confounding: From Bell's Theorem to Robust Machine Learning
  59. PRISM: A Framework Harnessing Unsupervised Visual Representations and Textual Prompts for Explainable MACE Survival Prediction from Cardiac Cine MRI
  60. Deep Data Hiding for ICAO-Compliant Face Images: A Survey
  61. A Technical Review on Comparison and Estimation of Steganographic Tools
  62. An Investigation on Group Query Hallucination Attacks
  63. MIDAS: Multimodal Interactive Digital-humAn Synthesis via Real-time Autoregressive Video Generation
  64. MedVQA-TREE: A Multimodal Reasoning and Retrieval Framework for Sarcopenia Prediction
  65. What Makes AI Applications Acceptable or Unacceptable? A Predictive Moral Framework
  66. Sycophancy as compositions of Atomic Psychometric Traits
  67. Automated classification of natural habitats using ground-level imagery
  68. Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K forms
  69. Sistema de Reconocimiento Facial Federado en Conjuntos Abiertos basado en OpenMax
  70. Advancements in Crop Analysis through Deep Learning and Explainable AI
  71. Geo2Vec: Shape- and Distance-Aware Neural Representation of Geospatial Entities
  72. Epistemic Trade-Off: An Analysis of the Operational Breakdown and Ontological Limits of "Certainty-Scope" in AI
  73. VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space
  74. Articulate3D: Zero-Shot Text-Driven 3D Object Posing
  75. Style4D-Bench: A Benchmark Suite for 4D Stylization
  76. Autoregressive Universal Video Segmentation Model
  77. Automated Feature Tracking for Real-Time Kinematic Analysis and Shape Estimation of Carbon Nanotube Growth
  78. StepWiser: Stepwise Generative Judges for Wiser Reasoning
  79. Predicting the Order of Upcoming Tokens Improves Language Modeling
  80. Generative Interfaces for Language Models
  81. Evaluating the Evaluators: Are readability metrics good measures of readability?
  82. The Subset Sum Matching Problem
  83. Interpolating Speaker Identities in Embedding Space for Data Expansion
  84. OmniHuman-1.5: Instilling an Active Mind in Avatars via Cognitive Simulation
  85. VibeVoice Technical Report
  86. LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding
  87. Planning-Query-Guided Model Generation for Model-Based Deformable Object Manipulation
  88. Emotions as Ambiguity-aware Ordinal Representations
  89. FastMesh: Efficient Artistic Mesh Generation via Component Decoupling
  90. Real-Time Model Checking for Closed-Loop Robot Reactive Planning
  91. Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness
  92. SoccerNet 2025 Challenges Results
  93. Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems
  94. From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
  95. Beyond flattening: a geometrically principled positional encoding for vision transformers with Weierstrass elliptic functions
  96. Dual Enhancement on 3D Vision-Language Perception for Monocular 3D Visual Grounding
  97. Few-Shot Connectivity-Aware Text Line Segmentation in Historical Documents
  98. Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games
  99. Saddle Hierarchy in Dense Associative Memory
  100. Uncertainty-Resilient Active Intention Recognition for Robotic Assistants
  101. Algorithmic Collective Action with Multiple Collectives
  102. Echoes of the Past: A Unified Perspective on Fading memory and Echo States
  103. A Bag of Tricks for Efficient Implicit Neural Point Clouds
  104. ZeST: A VLM-based Zero-Shot Traversability Navigation for Unknown Environments
  105. SecureV2X: An Efficient and Privacy-Preserving System for Vehicle-to-Everything (V2X) Applications
  106. Random forest-based out-of-distribution detection for robust lung cancer segmentation
  107. Beyond the Black Box: Integrating Lexical and Semantic Methods in Quantitative Discourse Analysis with BERTopic
  108. VibES: Induced Vibration for Persistent Event-Based Sensing
  109. It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
  110. APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration
  111. "Where does it hurt?" -- Dataset and Study on Physician Intent Trajectories in Doctor Patient Dialogues
  112. Universal Dynamics with Globally Controlled Analog Quantum Simulators
  113. An LLM-powered Natural-to-Robotic Language Translation Framework with Correctness Guarantees
  114. AEGIS: Runtime-Guided GPU Collocation for Multi-Tenant Deep Learning Training
  115. Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
  116. Can Structured Templates Facilitate LLMs in Tackling Harder Tasks? : An Exploration of Scaling Laws by Difficulty
  117. Learning Binary Sampling Patterns for Single-Pixel Imaging using Bilevel Optimisation
  118. No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes
  119. Automated discovery of finite volume schemes using Graph Neural Networks
  120. Time Series Analysis of Spiking Neural Systems via Transfer Entropy and Directed Persistent Homology
  121. Breaking the Black Box: Inherently Interpretable Physics-Constrained Machine Learning With Weighted Mixed-Effects for Imbalanced Seismic Data
  122. GReAT: leveraging geometric artery data to improve wall shear stress assessment
  123. Revisiting associative recall in modern recurrent models
  124. GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling
  125. ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval
  126. MicroDetect-Net (MDN): Leveraging Deep Learning to Detect Microplastics in Clam Blood, a Step Towards Human Blood Analysis
  127. Metric Matters: A Formal Evaluation of Similarity Measures in Active Learning for Cyber Threat Intelligence
  128. Working My Way Back to You: Resource-Centric Next-Activity Prediction
  129. Learning with springs and sticks
  130. MAB Optimizer for Estimating Math Question Difficulty via Inverse CV without NLP
  131. STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
  132. Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes
  133. Computational Phenomenology of Borderline Personality Disorder: A Comparative Evaluation of LLM-Simulated Expert Personas and Human Clinical Experts
  134. Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
  135. Building Self-Evolving Agents via Experience-Driven Lifelong Learning: A Framework and Benchmark
  136. AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms
  137. RoofSeg: An edge-aware transformer-based network for end-to-end roof plane segmentation
  138. Automatic Prompt Optimization with Prompt Distillation
  139. PAX-TS: Model-agnostic multi-granular explanations for time series forecasting via localized perturbations
  140. The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
  141. Understanding Benefits and Pitfalls of Current Methods for the Segmentation of Undersampled MRI Data
  142. Can we make NeRF-based visual localization privacy-preserving?
  143. Enhanced UAV Path Planning Using the Tangent Intersection Guidance (TIG) Algorithm
  144. USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning
  145. Enhancing compact convolutional transformers with super attention
  146. Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers
  147. A drone-based framework for coral habitat mapping via weakly supervised segmentation
  148. On the Generalisation of Koopman Representations for Chaotic System Control
  149. Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
  150. Estimating Conditional Covariance between labels for Multilabel Data
  151. Gauge-covariant stochastic neural fields: Stability and finite-width effects
  152. PanoHair: Detailed Hair Strand Synthesis on Volumetric Heads
  153. Preliminary Study on Space Utilization and Emergent Behaviors of Group vs. Single Pedestrians in Real-World Trajectories
  154. VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation
  155. Who Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
  156. HierCVAE: Hierarchical Attention-Driven Conditional Variational Autoencoders for Multi-Scale Temporal Modeling
  157. Forecasting Probability Distributions of Financial Returns with Deep Neural Networks
  158. Generalization Bound for a General Class of Neural Ordinary Differential Equations
  159. Affective Polarization across European Parliaments
  160. FormaRL: Enhancing Autoformalization with no Labeled Data
  161. HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections
  162. Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
  163. SegReConcat: A Data Augmentation Method for Voice Anonymization Attack
  164. Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks
  165. Event-Enriched Image Analysis Grand Challenge at ACM Multimedia 2025
  166. Distance-informed Neural Processes
  167. Sparse minimum Redundancy Maximum Relevance for feature selection
  168. DQEN: Dual Query Enhancement Network for DETR-based HOI Detection
  169. pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data
  170. HAEPO: History-Aggregated Exploratory Policy Optimization
  171. Optimization of Latent-Space Compression using Game-Theoretic Techniques for Transformer-Based Vector Search
  172. MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes
  173. Empowering Computing Education Researchers Through LLM-Assisted Content Analysis
  174. ReflectivePrompt: Reflective evolution in autoprompting algorithms
  175. C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning
  176. Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization
  177. ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
  178. ConfTuner: Training Large Language Models to Express Their Confidence Verbally
  179. Recycling History: Efficient Recommendations from Contextual Dueling Bandits
  180. Quantitative Outcome-Oriented Assessment of Microsurgical Anastomosis
  181. Quantum-Circuit-Based Visual Fractal Image Generation in Qiskit and Analytics
  182. Boosting Micro-Expression Analysis via Prior-Guided Video-Level Regression
  183. Automated Classification of Normal and Atypical Mitotic Figures Using ConvNeXt V2: MIDOG 2025 Track 2
  184. Assessing the Effectiveness of Deep Embeddings for Tree Species Classification in the Dutch Forest Inventory
  185. SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation
  186. Embedding Font Impression Word Tags Based on Co-occurrence
  187. LLM-based Contrastive Self-Supervised AMR Learning with Masked Graph Autoencoders for Fake News Detection
  188. Temperature-Aware Recurrent Neural Operator for Temperature-Dependent Anisotropic Plasticity in HCP Materials
  189. A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
  190. Robust and Label-Efficient Deep Waste Detection
  191. LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination
  192. A Closer Look at Edema Area Segmentation in SD-OCT Images Using Adversarial Framework
  193. PseudoMapTrainer: Learning Online Mapping without HD Maps
  194. Design, Implementation and Evaluation of a Real-Time Remote Photoplethysmography (rPPG) Acquisition System for Non-Invasive Vital Sign Monitoring
  195. EMind: A Foundation Model for Multi-task Electromagnetic Signals Understanding
  196. Insights into User Interface Innovations from a Design Thinking Workshop at deRSE25
  197. Controllable Conversational Theme Detection Track at DSTC 12
  198. Long-Term Variability in Physiological-Arousal Relationships for Robust Emotion Estimation
  199. AniME: Adaptive Multi-Agent Planning for Long Animation Generation
  200. Federated Learning with Heterogeneous and Private Label Sets
  201. Beyond the Textual: Generating Coherent Visual Options for MCQs
  202. Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits
  203. Predicting Drug-Drug Interactions Using Heterogeneous Graph Neural Networks: HGNN-DDI
  204. Governance-as-a-Service: A Multi-Agent Framework for AI System Compliance and Policy Enforcement
  205. Text to Query Plans for Question Answering on Large Tables
  206. Stabilizing Open-Set Test-Time Adaptation via Primary-Auxiliary Filtering and Knowledge-Integrated Prediction
  207. Reflection-Enhanced Meta-Optimization Integrating TextGrad-style Prompt Optimization with Memory-Driven Self-Evolution
  208. Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming
  209. M3HG: Multimodal, Multi-scale, and Multi-type Node Heterogeneous Graph for Emotion Cause Triplet Extraction in Conversations
  210. Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models
  211. FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks
  212. SkyTrust: Blockchain-Enhanced UAV Security for NTNs with Dynamic Trust and Energy-Aware Consensus
  213. Improving Noise Robust Audio-Visual Speech Recognition via Router-Gated Cross-Modal Feature Fusion
  214. Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vector Drawings
  215. Cross-Learning Fine-Tuning Strategy for Dysarthric Speech Recognition Via CDSD database
  216. Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning
  217. Are All Marine Species Created Equal? Performance Disparities in Underwater Object Detection
  218. Flatness-aware Curriculum Learning via Adversarial Difficulty
  219. Class-wise Flooding Regularization for Imbalanced Image Classification
  220. Natural Image Classification via Quasi-Cyclic Graph Ensembles and Random-Bond Ising Models at the Nishimori Temperature
  221. EMMM, Explain Me My Model! Explainable Machine Generated Text Detection in Dialogues
  222. Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation
  223. Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
  224. Enhancing Video-Based Robot Failure Detection Using Task Knowledge
  225. Data-Driven Discovery and Formulation Refines the Quasi-Steady Model of Flapping-Wing Aerodynamics
  226. Attention2Probability: Attention-Driven Terminology Probability Estimation for Robust Speech-to-Text System
  227. Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training
  228. Lightweight posterior construction for gravitational-wave catalogs with the Kolmogorov-Arnold network
  229. ColorGS: High-fidelity Surgical Scene Reconstruction with Colored Gaussian Splatting
  230. A Novel Deep Hybrid Framework with Ensemble-Based Feature Optimization for Robust Real-Time Human Activity Recognition
  231. AgriChrono: A Multi-modal Dataset Capturing Crop Growth and Lighting Variability with a Field Robot
  232. Feature-Space Planes Searcher: A Universal Domain Adaptation Framework for Interpretability and Computational Efficiency
  233. End to End Autoencoder MLP Framework for Sepsis Prediction
  234. Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning
  235. FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection
  236. Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos
  237. SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
  238. Empathy Omni: Enabling Empathetic Speech Response Generation through Large Language Models
  239. The Sound of Risk: A Multimodal Physics-Informed Acoustic Model for Forecasting Market Volatility and Enhancing Market Interpretability
  240. Breaking the Trade-Off Between Faithfulness and Expressiveness for Large Language Models
  241. Beyond Benchmarks: LLM Evaluation with an Anthropomorphic and Lifecycle-oriented Roadmap
  242. Clustering-based Feature Representation Learning for Oracle Bone Inscriptions Detection
  243. Biologically Disentangled Multi-Omic Modeling Reveals Mechanistic Insights into Pan-Cancer Immunotherapy Resistance
  244. LaQual: An Automated Framework for LLM App Quality Evaluation
  245. OwlCap: Harmonizing Motion-Detail for Video Captioning via HMD-270K and Caption Set Equivalence Reward
  246. ROSE: Remove Objects with Side Effects in Videos
  247. Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
  248. Wan-S2V: Audio-Driven Cinematic Video Generation
  249. ModAn-MulSupCon: Modality-and Anatomy-Aware Multi-Label Supervised Contrastive Pretraining for Medical Imaging
  250. Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets
  251. Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets
  252. Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
  253. eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases
  254. A New NMT Model for Translating Clinical Texts from English to Spanish
  255. Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
  256. Linear Trading Position with Sparse Spectrum
  257. A Case Study on the Effectiveness of LLMs in Verification with Proof Assistants