mlsanityData to 7 Oct 2026

Papers

New on arXiv

Fri 13 Jun 2025

333 papers

  1. SWE-Bench-CL: Continual Learning for Coding AgentsLLM agents and tool use → Agent memory systems
  2. Aligning MLLM Benchmark With Human Preferences via Structural Equation ModelingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  3. Towards Understanding the Cognitive Habits of Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
  4. Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
  5. DAVID-XR1: Detecting AI-Generated Videos with Explainable ReasoningLLM reasoning → Multimodal reasoning
  6. Investigating the Potential of Large Language Model-Based Router Multi-Agent Architectures for Foundation Design Automation: A Task Classification and Expert Selection StudyLLM agents and tool use → General LLM agent frameworks and benchmarks
  7. InfoFlood: Jailbreaking Large Language Models with Information OverloadLLM safety and security → Jailbreaking
  8. Cloud Infrastructure Management in the Age of AI AgentsLLM agents and tool use → Software engineering coding agents
  9. The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented DialogsLLM agents and tool use → General LLM agent frameworks and benchmarks
  10. Efficient Multi-Camera Tokenization with Triplanes for End-to-End DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
  11. Privacy Reasoning in Ambiguous ContextsLLM reasoning → Reasoning for agents, planning and code +1
  12. SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic SoundscapesMultimodal LLMs / vision-language models → Video understanding with MLLMs
  13. InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  14. PRO-V-R1: Reasoning Enhanced Programming Agent for RTL VerificationLLM reasoning → Reasoning for agents, planning and code +1
  15. ViSTA: Visual Storytelling using Multi-modal Adapters for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  16. Because we have LLMs, we Can and Should Pursue Agentic InterpretabilityLLM agents and tool use → General LLM agent frameworks and benchmarks
  17. Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal ResourceMixture-of-experts → MoE large language models
  18. Eliciting Reasoning in Language Models with Cognitive ToolsLLM reasoning → Reasoning benchmarks and evaluation +1
  19. Personalized LLM Decoding via Contrasting Personal PreferenceLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  20. DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
  21. Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision MakingLLM reasoning → Reasoning for agents, planning and code
  22. pLSTM: parallelizable Linear Source Transition Mark networksState-space sequence models (S4, Mamba) → Core SSM architectures for language
  23. VGR: Visual Grounded ReasoningLLM reasoning → Multimodal reasoning
  24. Thought Graph Traversal for Test-time Scaling in Chest X-ray VLLMsLLM reasoning → Clinical and biomedical applications
  25. How Visual Representations Map to Language Feature Space in Multimodal LLMsLLM reasoning → Multimodal reasoning +1
  26. SAIL: Faster-than-Demonstration Execution of Imitation Learning PoliciesOffline RL and imitation learning from data → Robot manipulation imitation learning
  27. TreeRL: LLM Reinforcement Learning with On-Policy Tree SearchLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  28. Measurement-Aligned Sampling for Inverse ProblemDiffusion models → Inverse problems and image restoration
  29. Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall CapacityState-space sequence models (S4, Mamba) → Core SSM architectures for language
  30. Beyond Homogeneous Attention: Memory-Efficient LLMs via Fourier-Approximated KV CacheEfficient LLM inference and serving → KV cache optimization
  31. Your Ride, Your Rules: Psychology and Cognition Enabled Automated Driving SystemsEnd-to-end autonomous driving → Cooperative and V2X driving
  32. Revealing Political Bias in LLMs through Structured Multi-Agent DebateLLM agents and tool use → Social simulation and multi-agent debate
  33. Structural Similarity-Inspired Unfolding for Lightweight Image Super-ResolutionMixture-of-experts → Vision mixture-of-experts
  34. Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and AdaptationLLM reasoning → Multimodal reasoning
  35. Are Multimodal Large Language Models Pragmatically Competent Listeners in Simple Reference Resolution Tasks?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  36. SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security TasksLLM agents and tool use → Agent threats, guardrails and governance
  37. AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home EnvironmentsLLM agents and tool use → Multimodal and embodied agents
  38. CLIP Meets Diffusion: A Synergistic Approach to Anomaly DetectionDiffusion models → Flow matching, time series and science
  39. MambaVSR: Content-Aware Scanning State Space Model for Video Super-ResolutionState-space sequence models (S4, Mamba) → Vision Mamba backbones
  40. DeepResearch Bench: A Comprehensive Benchmark for Deep Research AgentsLLM agents and tool use → Web, search, and research agents
  41. DART: Distilling Autoregressive Reasoning to Silent ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
  42. Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference OptimizationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
  43. Configurable Preference Tuning with Rubric-Guided Synthetic DataLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  44. MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual SpaceLLM reasoning → Multimodal reasoning +1
  45. A Hybrid Multi-Agent Prompting Approach for Simplifying Complex SentencesLLM agents and tool use → General LLM agent frameworks and benchmarks
  46. Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  47. Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy EnvironmentsLLM safety and security → Machine unlearning
  48. Dissecting the Segmentation Model of End-to-End Diarization with Vector ClusteringState-space sequence models (S4, Mamba) → Speech and audio SSMs
  49. VLM@school -- Evaluation of AI image understanding on German middle school knowledgeLLM reasoning → Multimodal reasoning +1
  50. TongSearch-QR: Reinforced Query Reasoning for RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
  51. GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in newsLLM reasoning → Causal reasoning in LLMs
  52. EasyARC: Evaluating Vision Language Models on True Visual ReasoningLLM reasoning → Multimodal reasoning +1
  53. Retrieval-Augmented Code Review Comment GenerationRetrieval-augmented generation → RAG for code
  54. Efficient LLM Collaboration via PlanningLLM reasoning → Reasoning for agents, planning and code
  55. VFaith: Do Large Multimodal Models Really Reason on Seen Images Rather than Previous Memories?LLM reasoning → Multimodal reasoning +1
  56. DaMO: A Data-Efficient Multimodal Orchestrator for Temporal Reasoning with Video LLMsLLM reasoning → Multimodal reasoning
  57. RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
  58. Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario AnalysisEnd-to-end autonomous driving → Large language models for driving
  59. Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  60. Taming Stable Diffusion for Computed Tomography Blind Super-ResolutionDiffusion models → Medical imaging and segmentation
  61. Reviving DSP for Advanced Theorem Proving in the Era of Reasoning ModelsLLM reasoning → Mathematical reasoning
  62. LearnAlign: Data Selection for LLM Reinforcement Learning with Improved Gradient AlignmentLLM reasoning → Reinforcement learning for reasoning
  63. LiLAC: A Lightweight Latent ControlNet for Musical Audio GenerationDiffusion models → Audio, speech and music
  64. AutoGen Driven Multi Agent Framework for Iterative Crime Data Analysis and PredictionLLM agents and tool use → Agent threats, guardrails and governance
  65. Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process RewardsLLM reasoning → Clinical and biomedical applications +1
  66. Toward Inherently Robust VLMs Against Visual Perception AttacksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  67. Multi-Loco: Unifying Multi-Embodiment Legged Locomotion via Reinforcement Learning Augmented DiffusionDiffusion models → Diffusion and flow policies for robotics
  68. FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary AngiographyDiffusion models → Medical imaging and segmentation
  69. Resolve Highway Conflict in Multi-Autonomous Vehicle Controls with Local State AttentionEnd-to-end autonomous driving → Cooperative and V2X driving
  70. GaussMarker: Robust Dual-Domain Watermark for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  71. ReVeal: Self-Evolving Code Agents via Reliable Self-VerificationLLM reasoning → Reinforcement learning for reasoning +2
  72. Auditing Data Provenance in Real-world Text-to-Image Diffusion Models for Privacy and Copyright ProtectionDiffusion models → Robustness, privacy and adversarial aspects
  73. Agent-RLVR: Training Software Engineering Agents via Guidance and Environment RewardsLLM reasoning → Reasoning for agents, planning and code +2
  74. FocalAD: Local Motion Planning for End-to-End Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving
  75. CentroidKV: Efficient Long-Context LLM Inference via KV Cache ClusteringEfficient LLM inference and serving → KV cache optimization
  76. Stop learning it all to mitigate visual hallucination, Focus on the hallucination targetMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  77. Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMsRetrieval-augmented generation → Privacy and security of RAG
  78. The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence AnalysisDiffusion models → Diffusion foundations and sampling
  79. Large Language Model-Powered Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers: Enhancing Empathy and Therapeutic Alliance Using In-Context LearningLLM agents and tool use → Medical and scientific domain agents
  80. Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical TablesMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  81. A Watermark for Auto-Regressive Image Generation ModelsLLM safety and security → Watermarking generated content and models
  82. DIVER-0 : A Fully Channel Equivariant EEG Foundation Model
  83. Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications
  84. ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting
  85. Towards Undistillable Models by Minimizing Conditional Mutual Information
  86. Arnoldi Singular Vector perturbations for machine learning weather prediction
  87. Computational Analysis of Climate Policy
  88. AI-based modular warning machine for risk identification in proximity healthcare
  89. VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal
  90. Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review
  91. Optimization of bi-directional gated loop cell based on multi-head attention mechanism for SSD health state classification model
  92. The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities
  93. Accurate and Uncertainty-Aware Multi-Task Prediction of HEA Properties Using Prior-Guided Deep Gaussian Processes
  94. Collaborative Interest-aware Graph Learning for Group Identification
  95. GraphGSOcc: Semantic-Geometric Graph Transformer with Dynamic-Static Decoupling for 3D Gaussian Splatting-based Occupancy Prediction
  96. Analysis and Optimization of Probabilities of Beneficial Mutation and Crossover Recombination in a Hamming Space
  97. BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis
  98. Dr. GPT Will See You Now, but Should It? Exploring the Benefits and Harms of Large Language Models in Medical Diagnosis using Crowdsourced Clinical Cases
  99. Instruction and Solution Probabilities as Heuristics for Inductive Programming
  100. Causality in the human niche: lessons for machine learning
All 333
  1. Enhancing Clinical Decision Support and EHR Insights through LLMs and the Model Context Protocol: An Open-Source MCP-FHIR Framework
  2. Feedforward Ordering in Neural Connectomes via Feedback Arc Minimization
  3. Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure
  4. ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing
  5. A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis
  6. EgoPrivacy: What Your First-Person Camera Says About You?
  7. Lower Bound on Howard Policy Iteration for Deterministic Markov Decision Processes
  8. A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines -- with Application to 3D Printing
  9. ProVox: Personalization and Proactive Planning for Situated Human-Robot Collaboration
  10. Reversing the Paradigm: Building AI-First Systems with Human Guidance
  11. Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
  12. Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
  13. ViTaSCOPE: Visuo-tactile Implicit Representation for In-hand Pose and Extrinsic Contact Estimation
  14. CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction
  15. Statistical Machine Learning for Astronomy -- A Textbook
  16. Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index
  17. Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
  18. Learning Causality for Modern Machine Learning
  19. Mapping Neural Theories of Consciousness onto the Common Model of Cognition
  20. Two Heads Are Better than One: Simulating Large Transformers with Small Ones
  21. Directed Acyclic Graph Convolutional Networks
  22. From Emergence to Control: Probing and Modulating Self-Reflection in Language Models
  23. CLIP the Landscape: Automated Tagging of Crowdsourced Landscape Images
  24. Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation
  25. Machine Intelligence on Wireless Edge Networks
  26. Semantic Scheduling for LLM Inference
  27. Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics
  28. Quasar: A Programming Language Specialized for LLM Code Actions
  29. ViSAGe: Video-to-Spatial Audio Generation
  30. Graph Semi-Supervised Learning for Point Classification on Data Manifolds
  31. OSI Stack Redesign for Quantum Networks: Requirements, Technologies, Challenges, and Future Directions
  32. BreastDCEDL: A Comprehensive Breast Cancer DCE-MRI Dataset and Transformer Implementation for Treatment Response Prediction
  33. Supernova Event Dataset: Interpreting Large Language Models' Personality through Critical Event Analysis
  34. MRI-CORE: A Foundation Model for Magnetic Resonance Imaging
  35. Artificial Intelligence and Machine Learning in the Development of Vaccines and Immunotherapeutics Yesterday, Today, and Tomorrow
  36. SPLATART: Articulated Gaussian Splatting with Estimated Object Structure
  37. Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation
  38. Instruction Tuning and CoT Prompting for Contextual Medical QA with LLMs
  39. Generative or Discriminative? Revisiting Text Classification in the Era of Transformers
  40. "Faithful to What?" On the Limits of Fidelity-Based Explanations
  41. TCN-DPD: Parameter-Efficient Temporal Convolutional Networks for Wideband Digital Predistortion
  42. A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages
  43. Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-wise Multiview Clustering and Large Language Models
  44. Maximally-Informative Retrieval for State Space Model Generation
  45. Hatevolution: What Static Benchmarks Don't Tell Us
  46. Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States
  47. Scale-Invariance Drives Convergence in AI and Brain Representations
  48. Unsupervised Document and Template Clustering using Multimodal Embeddings
  49. Semantic Preprocessing for LLM-based Malware Analysis
  50. Quantum-Inspired Differentiable Integral Neural Networks (QIDINNs): A Feynman-Based Architecture for Continuous Learning Over Streaming Data
  51. EconGym: A Scalable AI Testbed with Diverse Economic Tasks
  52. A Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method
  53. Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
  54. Multiple Object Tracking in Video SAR: A Benchmark and Tracking Baseline
  55. EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction
  56. code_transformed: The Influence of Large Language Models on Code
  57. Affogato: Open-Vocabulary Affordance Grounding with Automated Data Generation at Scale
  58. Reimagining Dance: Real-time Music Co-creation between Dancers and AI
  59. SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts
  60. crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023
  61. Upgrade or Switch: Do We Need a Next-Gen Trusted Architecture for the Internet of AI Agents?
  62. An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling
  63. Generative Representational Learning of Foundation Models for Recommendation
  64. Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery
  65. Spectral Estimation with Free Decompression
  66. Compression Aware Certified Training
  67. Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task
  68. Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders
  69. Learning Before Filtering: Real-Time Hardware Learning at the Detector Level
  70. Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks
  71. Visual Pre-Training on Unlabeled Images using Reinforcement Learning
  72. Automated Treatment Planning for Interstitial HDR Brachytherapy for Locally Advanced Cervical Cancer using Deep Reinforcement Learning
  73. Technical Evaluation of a Disruptive Approach in Homomorphic AI
  74. Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe?
  75. Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches
  76. Improving Large Language Model Safety with Contrastive Representation Learning
  77. Transformer-Based Inverse Microrheology for Experimental Mechanics at Ultra-High Strain Rates
  78. Evaluating Sensitivity Parameters in Smartphone-Based Gaze Estimation: A Comparative Study of Appearance-Based and Infrared Eye Trackers
  79. Feedback Friction: LLMs Struggle to Fully Incorporate External Feedback
  80. LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
  81. Real-World Deployment of a Lane Change Prediction Architecture Based on Knowledge Graph Embeddings and Bayesian Inference
  82. Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation
  83. Effectiveness of Counter-Speech against Abusive Content: A Multidimensional Annotation and Classification Study
  84. O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation
  85. Breaking Habits: On the Role of the Advantage Function in Learning Causal State Representations
  86. Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table
  87. Convergence of Momentum-Based Optimization Algorithms with Time-Varying Parameters
  88. GeistBERT: Breathing Life into German NLP
  89. A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification
  90. Martingale Posterior Neural Networks for Fast Sequential Decision Making
  91. Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices
  92. Enter: Graduated Realism: A Pedagogical Framework for AI-Powered Avatars in Virtual Reality Teacher Training
  93. Cascaded Language Models for Cost-effective Human-AI Decision-Making
  94. An Explainable AI Framework for Dynamic Resource Management in Vehicular Network Slicing
  95. Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment
  96. Decadal sink-source shifts of forest aboveground carbon since 1988
  97. Robust Molecular Property Prediction via Densifying Scarce Labeled Data
  98. Methods for evaluating the resolution of 3D data derived from satellite images
  99. How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
  100. SphereDrag: Spherical Geometry-Aware Panoramic Image Editing
  101. MindGrab for BrainChop: Fast and Accurate Skull Stripping for Command Line and Browser
  102. Post Persona Alignment for Multi-Session Dialogue Generation
  103. Learning Overspecified Gaussian Mixtures Exponentially Fast with the EM Algorithm
  104. Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
  105. In Defense of Defensive Forecasting
  106. TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks
  107. Vision-based Lifting of 2D Object Detections for Automated Driving
  108. Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
  109. CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm
  110. Framework of a multiscale data-driven DT of the musculoskeletal system
  111. Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection
  112. On the Performance of LLMs for Real Estate Appraisal
  113. Abstract Sound Fusion with Unconditional Inversion Models
  114. Teleoperated Driving: a New Challenge for 3D Object Detection in Compressed Point Clouds
  115. Persona-driven Simulation of Voting Behavior in the European Parliament with Large Language Models
  116. Solving Inverse Problems in Stochastic Self-Organizing Systems through Invariant Representations
  117. Why Do Class-Dependent Evaluation Effects Occur with Time Series Feature Attributions? A Synthetic Data Investigation
  118. SSPINNpose: A Self-Supervised PINN for Inertial Pose and Dynamics Estimation
  119. GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers
  120. Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
  121. Real-Time Feedback and Benchmark Dataset for Isometric Pose Evaluation
  122. Long-Short Alignment for Effective Long-Context Modeling in LLMs
  123. DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models
  124. Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty
  125. FeNN: A RISC-V vector processor for Spiking Neural Network acceleration
  126. Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
  127. Exploring the Effectiveness of Deep Features from Domain-Specific Foundation Models in Retinal Image Synthesis
  128. Bias and Identifiability in the Bounded Confidence Model
  129. Enabling automatic transcription of child-centered audio recordings from real-world environments
  130. Taxonomy of reduction matrices for Graph Coarsening
  131. AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials
  132. Quizzard@INOVA Challenge 2025 -- Track A: Plug-and-Play Technique in Interleaved Multi-Image Model
  133. Data-driven approaches to inverse problems
  134. Quantum Learning and Estimation for Coordinated Operation between Distribution Networks and Energy Communities
  135. The Cambrian Explosion of Mixed-Precision Matrix Multiplication for Quantized Deep Learning Inference
  136. Relational GNNs Cannot Learn C2 Features for Planning
  137. Interaction, Process, Infrastructure: A Unified Framework for Human-Agent Collaboration
  138. Growing with Experience: Growing Neural Networks in Deep Reinforcement Learning
  139. Geometry-Aware Edge Pooling for Graph Neural Networks
  140. DMAF-Net: An Effective Modality Rebalancing Framework for Incomplete Multi-Modal Medical Image Segmentation
  141. Differential Privacy in Machine Learning: A Survey from Symbolic AI to LLMs
  142. On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions
  143. Malicious LLM-Based Conversational AI Makes Users Reveal Personal Information
  144. LLMs on support of privacy and security of mobile apps: state of the art and research directions
  145. Pose Matters: Evaluating Vision Transformers and CNNs for Human Action Recognition on Small COCO Subsets
  146. Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics
  147. Cross-Modal Clustering-Guided Negative Sampling for Self-Supervised Joint Learning from Medical Images and Reports
  148. Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE
  149. Brain Network Analysis Based on Fine-tuned Self-supervised Model for Brain Disease Diagnosis
  150. Converting Annotated Clinical Cases into Structured Case Report Forms
  151. Prohibited Items Segmentation via Occlusion-aware Bilayer Modeling
  152. DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
  153. Robot Context Protocol (RCP): A Runtime-Agnostic Interface for Agent-Aware Robot Control
  154. Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective
  155. Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
  156. LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
  157. FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
  158. SceneGram: Conceptualizing and Describing Tangrams in Scene Context
  159. Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
  160. Physically-informed change-point kernels for structural dynamics
  161. SignAligner: Harmonizing Complementary Pose Modalities for Coherent Sign Language Generation
  162. (SimPhon Speech Test): A Data-Driven Method for In Silico Design and Validation of a Phonetically Balanced Speech Test
  163. Convergent Linear Representations of Emergent Misalignment
  164. Wi-CBR: Salient-aware Adaptive WiFi Sensing for Cross-domain Behavior Recognition
  165. Model Organisms for Emergent Misalignment
  166. KCES: Training-Free Defense for Robust Graph Neural Networks via Kernel Complexity
  167. Are LLMs Good Text Diacritizers? An Arabic and Yoruba Case Study
  168. A2LC: Active and Automated Label Correction for Semantic Segmentation
  169. SecONNds: Secure Outsourced Neural Network Inference on ImageNet
  170. OV-MAP: Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots
  171. A Comparative Analysis of Influence Signals for Data Debugging
  172. Camera-based method for the detection of lifted truck axles using convolutional neural networks
  173. Gradients of unitary optical neural networks using parameter-shift rule
  174. A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation
  175. Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study
  176. Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation
  177. From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation
  178. Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
  179. Improving Multimodal Learning Balance and Sufficiency through Data Remixing
  180. EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment
  181. Linearly Solving Robust Rotation Estimation
  182. CGVQM+D: Computer Graphics Video Quality Metric and Dataset
  183. FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution
  184. Leveraging Satellite Image Time Series for Accurate Extreme Event Detection
  185. FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
  186. GNSS-Inertial State Initialization Using Inter-Epoch Baseline Residuals
  187. Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications
  188. Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
  189. Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning
  190. Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs
  191. From Time Series Analysis to Question Answering: A Survey in the LLM Era
  192. Task-Driven Discrete Representation Learning
  193. Machine Learning-Based Quantification of Vesicoureteral Reflux with Enhancing Accuracy and Efficiency
  194. Diabetes Prediction and Management Using Machine Learning Approaches
  195. On the Effectiveness of Integration Methods for Multimodal Dialogue Response Retrieval
  196. Lag-Relative Sparse Attention In Long Context Training
  197. Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
  198. SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics
  199. Composite Data Augmentations for Synthetic Image Detection Against Real-World Perturbations
  200. Relational Schemata in BERT Are Inducible, Not Emergent: A Study of Performance vs. Competence in Language Models
  201. Environmental Change Detection for Real-World Change Analysis
  202. ImmunoFOMO: Are Language Models missing what oncologists see?
  203. FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes
  204. Structure-Aware Automatic Channel Pruning by Searching with Graph Embedding
  205. A Gamified Evaluation and Recruitment Platform for Low Resource Language Machine Translation Systems
  206. Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks
  207. RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer
  208. Fast Bayesian Optimization of Function Networks with Partial Evaluations
  209. Voxel-Level Brain States Prediction Using Swin Transformer
  210. Dynamic Sparse Training of Diagonally Sparse Networks
  211. DPUV4E: High-Throughput DPU Architecture Design for CNN on Versal ACAP
  212. AbsenceBench: Language Models Can't Tell What's Missing
  213. Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital Pathology
  214. TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models
  215. KoGEC : Korean Grammatical Error Correction with Pre-trained Translation Models
  216. TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision
  217. Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization
  218. Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
  219. PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
  220. Node Splitting SVMs for Survival Trees Based on an L2-Regularized Dipole Splitting Criteria
  221. Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates
  222. Predicting Early-Onset Colorectal Cancer with Large Language Models
  223. A correlation-permutation approach for speech-music encoders model merging
  224. LoRA Users Beware: A Few Spurious Tokens Can Manipulate Your Finetuned Model
  225. Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal Process
  226. FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
  227. Dynamic Double Space Tower
  228. Curriculum-Guided Layer Scaling for Language Model Pretraining
  229. Control Architecture and Design for a Multi-robotic Visual Servoing System in Automated Manufacturing Environment
  230. A Variational Approach for Mitigating Entity Bias in Relation Extraction
  231. Enhance Multimodal Consistency and Coherence for Text-Image Plan Generation
  232. EDN: A Novel Edge-Dependent Noise Model for Graph Data
  233. Coefficient Shape Transfer Learning for Functional Linear Regression