mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 15 May 2025

315 papers

  1. Systematic Failures in Collective Reasoning under Distributed Information in Multi-Agent LLMsLLM reasoning → Reasoning for agents, planning and code +1
  2. One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation SystemsRetrieval-augmented generation → Privacy and security of RAG
  3. IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generationDiffusion models → Image generation, text-to-image and editing
  4. Automating Security Audit Using Large Language Model based Agent: An Exploration ExperimentLLM agents and tool use → Agent threats, guardrails and governance
  5. A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks AlignmentLLM alignment / RLHF / preference optimisation → Medical LLM alignment +1
  6. Interpretable Risk Mitigation in LLM Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
  7. Accelerating Visual-Policy Learning through Parallel Differentiable SimulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  8. Cross-Image Contrastive Decoding: Precise, Lossless Suppression of Language Priors in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  9. MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and ThoroughlyMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  10. SRMamba: Mamba for Super-Resolution of LiDAR Point CloudsState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  11. Two Minds Better Than One: Collaborative Reward Modeling for LLM AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  12. CRPE: Expanding The Reasoning Capability of Large Language Model for Code GenerationLLM reasoning → Reasoning for agents, planning and code
  13. 3D-Fixup: Advancing Photo Editing with 3D PriorsDiffusion models → 3D, point cloud and scene generation
  14. Style Customization of Text-to-Vector Generation with Image Diffusion PriorsDiffusion models → Image generation, text-to-image and editing
  15. MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical ReasoningLLM reasoning → Multimodal reasoning +1
  16. Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
  17. Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training DataDiffusion models → Image generation, text-to-image and editing
  18. Reasoning Capabilities of Large Language Models on Dynamic TasksLLM reasoning → Prompting and chain-of-thought reasoning
  19. Exploring Implicit Visual Misunderstandings in Multimodal Large Language Models through Attention AnalysisMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  20. Enhancing Multi-Image Question Answering via Submodular Subset SelectionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  21. WorldPM: Scaling Human Preference ModelingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  22. MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  23. Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  24. RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMsLLM agents and tool use → Tool learning and function calling +1
  25. DACL-RAG: Data Augmentation Strategy with Curriculum Learning for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  26. Fine-tuning Diffusion Policies with Backpropagation Through Diffusion TimestepsDiffusion models → Diffusion and flow policies for robotics +1
  27. Parallel Scaling Law for Language ModelsLLM reasoning → Test-time compute and efficient thinking
  28. AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and ChallengesLLM agents and tool use → General LLM agent frameworks and benchmarks
  29. Superposition Yields Robust Neural ScalingMechanistic interpretability → Sparse autoencoder training and evaluation
  30. Vision language models have difficulty recognizing virtual objectsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  31. Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
  32. IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-TuningOffline RL and imitation learning from data → Imitation learning methods +1
  33. How to use score-based diffusion in earth system science: A satellite nowcasting exampleDiffusion models → Flow matching, time series and science
  34. Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMsLLM reasoning → Reinforcement learning for reasoning
  35. Hierarchical Document Refinement for Long-context Retrieval-augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  36. Rethinking Repetition Problems of LLMs in Code GenerationLLM reasoning → Reasoning for agents, planning and code
  37. Are Sparse Autoencoders Useful for Java Function Bug Detection?Mechanistic interpretability → Steering and probing for LLM safety
  38. A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware CapabilityLLM safety and security → Membership inference attacks
  39. Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental ChangeDeep reinforcement learning methods → Deep RL algorithms and representations
  40. AutoPentest: Enhancing Vulnerability Management With Autonomous LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
  41. J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement LearningLLM reasoning → Reasoning benchmarks and evaluation
  42. Whitened Score Diffusion: A Structured Prior for Imaging Inverse ProblemsDiffusion models → Inverse problems and image restoration
  43. Optimizing Electric Bus Charging Scheduling with Uncertainties Using Hierarchical Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  44. StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story GenerationLLM reasoning → Hallucination detection and mitigation
  45. MASS: Muli-agent simulation scaling for portfolio constructionLLM agents and tool use → Financial trading and forecasting agents
  46. Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  47. SpecOffload: Unlocking Latent GPU Capacity for LLM Inference on Resource-Constrained DevicesEfficient LLM inference and serving → Serving systems and request scheduling
  48. SRT-H: A Hierarchical Framework for Autonomous Surgery via Language Conditioned Imitation LearningOffline RL and imitation learning from data → Safe offline RL
  49. RAIDEN-R1: Improving Role-awareness of LLMs via GRPO with Verifiable RewardLLM reasoning → Reasoning benchmarks and evaluation
  50. The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will ThinkLLM reasoning → Prompting and chain-of-thought reasoning
  51. Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
  52. One-Stage Top-k Learning-to-Defer: Score-Based Surrogates with Theoretical GuaranteesDiffusion models → Diffusion foundations and sampling
  53. Training People to Reward RobotsOffline RL and imitation learning from data → Robot learning from demonstration
  54. GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  55. Path Gradients after Flow MatchingDiffusion models → Flow matching, time series and science
  56. Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced CoveringEfficient LLM inference and serving → Visual token pruning in multimodal models
  57. Learning Virtual Machine Scheduling in Cloud Computing through Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  58. XRAG: Cross-lingual Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
  59. MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  60. FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot ManipulationWorld models → Embodied and robot world models
  61. Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  62. Dark LLMs: The Growing Threat of Unaligned AI ModelsLLM safety and security → Jailbreaking
  63. PsOCR: Benchmarking Large Multimodal Models for Optical Character Recognition in Low-resource Pashto LanguageMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  64. Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
  65. Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER GatesLLM reasoning → Reasoning benchmarks and evaluation +1
  66. Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field TestsDeep reinforcement learning methods → RL for robot navigation and UAV control
  67. ORL-LDM: Offline Reinforcement Learning Guided Latent Diffusion Model Super-Resolution ReconstructionDiffusion models → Inverse problems and image restoration
  68. ImagineBench: Evaluating Reinforcement Learning with Large Language Model RolloutsOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  69. Sample Complexity of Distributionally Robust Average-Reward Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  70. ServeGen: Workload Characterization and Generation of Large Language Model Serving in ProductionEfficient LLM inference and serving → Serving systems and request scheduling
  71. Ordered-subsets Multi-diffusion Model for Sparse-view CT ReconstructionDiffusion models → Medical imaging and segmentation
  72. Sybil-based Virtual Data Poisoning Attacks in Federated LearningLLM safety and security → Federated unlearning and poisoning
  73. Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber Security DataLLM safety and security → Safety alignment, refusal and guardrails
  74. Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
  75. MambaControl: Anatomy Graph-Enhanced Mamba ControlNet with Fourier Refinement for Diffusion-Based Disease Trajectory PredictionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  76. Approximated Behavioral Metric-based State Projection for Federated Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  77. Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge GraphRetrieval-augmented generation → RAG pipeline design and evaluation
  78. Design and Evaluation of Generative Agent-based Platform for Human-Assistant Interaction Research: A Tale of 10 User StudiesLLM agents and tool use → Social simulation and multi-agent debate
  79. CartoAgent: a multimodal large language model-powered multi-agent cartographic framework for map style transfer and evaluationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  80. Rethinking Prompt Optimizers: From Prompt Merits to OptimizationLLM reasoning → Prompting and chain-of-thought reasoning
  81. Reinforced Interactive Continual Learning via Real-time Noisy Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  82. From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language ModelsLLM safety and security → Watermarking generated content and models
  83. Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function SingularityDiffusion models → Diffusion foundations and sampling
  84. PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context OptimizationLLM safety and security → Jailbreaking
  85. Diffusion-SAFE: Diffusion-Native Human-to-Robot Driving Handover for Shared AutonomyEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  86. Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion PriorDiffusion models → 3D, point cloud and scene generation
  87. Characterizing Unintended Consequences in Human-GUI Agent Collaboration for Web BrowsingLLM agents and tool use → GUI and mobile agents
  88. Digital Twin Technologies in Predictive Maintenance: Enabling Transferability via Sim-to-Real and Real-to-Sim Transfer
  89. Crack Path Prediction with Operator Learning using Discrete Particle System data Generation
  90. An empirical study of task and feature correlations in the reuse of pre-trained models
  91. Traffic and Mobility Optimization Using AI: Comparative Study between Dubai and Riyadh
  92. MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning
  93. Clustering scientific publications: lessons learned through experiments with a real citation network
  94. GAIA: A Foundation Model for Operational Atmospheric Dynamics
  95. Less is More: Multimodal Region Representation via Pairwise Inter-view Learning
  96. FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations
  97. Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally
  98. Assessing the Quality of AI-Generated Clinical Notes: A Validated Evaluation of a Large Language Model Scribe
  99. Fast and Flexible Quantum-Inspired Differential Equation Solvers with Data Integration
  100. Assessing GPT's Bias Towards Stigmatized Social Groups: An Intersectional Case Study on Nationality Prejudice and Psychophobia
All 315
  1. Generative AI-Aided QoE Maximization for RIS-Assisted Digital Twin Interaction
  2. Learning Hierarchical Domain Models Through Environment-Grounded Interaction
  3. ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model
  4. Polymer Data Challenges in the AI Era: Bridging Gaps for Next-Generation Energy Materials
  5. AC-LoRA: (Almost) Training-Free Access Control-Aware Multi-Modal LLMs
  6. GSPRec: On Improving Item Representations in Graph Signal Processing for Collaborative Filtering
  7. A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network
  8. AI-generated Text Detection: A Multifaceted Approach to Binary and Multiclass Classification
  9. On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models
  10. Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control
  11. Mapping Semantic Segmentation to Point Clouds Using Structure from Motion for Forest Analysis
  12. Code-Driven Planning in Grid Worlds with Large Language Models
  13. ChestyBot: Detecting and Disrupting Chinese Communist Party Influence Stratagems
  14. Precision Proactivity: Measuring Cognitive Load in Real-World AI-Assisted Work
  15. SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
  16. Automated Detection of Salvin's Albatrosses: Improving Deep Learning Tools for Aerial Wildlife Surveys
  17. Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization
  18. Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling
  19. Learning Repetition-Invariant Representations for Polymer Informatics
  20. Tracr-Injection: Distilling Algorithms into Pre-trained Language Models
  21. AI-enhanced semantic feature norms for 786 concepts
  22. GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?
  23. GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics
  24. Embodied AI in Machine Learning -- is it Really Embodied?
  25. ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
  26. Clustering Rooftop PV Systems via Probabilistic Embeddings
  27. Asymptotically-Optimal Gaussian Bandits with Side Observations
  28. TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation
  29. Predicting Human Behavior in Autonomous Systems: A Collaborative Machine Teaching Approach for Reducing Transfer of Control Events
  30. Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients
  31. A probabilistic framework for dynamic quantization
  32. ROIsGAN: A Region Guided Generative Adversarial Framework for Murine Hippocampal Subregion Segmentation
  33. GaussianFormer3D: Multi-Modal Gaussian-based Semantic Occupancy Prediction with 3D Deformable Attention
  34. Towards an LLM-powered Social Digital Twinning Platform
  35. Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?
  36. System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach
  37. A Conformal Predictive Measure for Assessing Catastrophic Forgetting
  38. MOSAIC: A Multi-View 2.5D Organ Slice Selector with Cross-Attentional Reasoning for Anatomically-Aware CT Localization in Medical Organ Segmentation
  39. GA3CE: Unconstrained 3D Gaze Estimation with Gaze-Aware 3D Context Encoding
  40. Seasonal Forecasting of Pan-Arctic Sea Ice with State Space Model
  41. CLIP Embeddings for AI-Generated Image Detection: A Few-Shot Study with Lightweight Classifier
  42. On the Evaluation of Engineering Artificial General Intelligence
  43. Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
  44. Artificial Intelligence Bias on English Language Learners in Automatic Scoring
  45. FRET: Feature Redundancy Elimination for Test Time Adaptation
  46. The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware)
  47. How many measurements are enough? Bayesian recovery in inverse problems with general distributions
  48. Minimax learning rates for estimating binary classifiers under margin conditions
  49. Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability
  50. MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
  51. Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models
  52. An Exponential Averaging Process with Strong Convergence Properties
  53. MIRAGE: A Multi-modal Benchmark for Spatial Perception, Reasoning, and Intelligence
  54. Toward a Public and Secure Generative AI: A Comparative Analysis of Open and Closed LLMs
  55. Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
  56. UDDETTS: Unifying Discrete and Dimensional Emotions for Controllable Emotional Text-to-Speech
  57. Inclusivity of AI Speech in Healthcare: A Decade Look Back
  58. ARFC-WAHNet: Adaptive Receptive Field Convolution and Wavelet-Attentive Hierarchical Network for Infrared Small Target Detection
  59. LLM-Explorer: Towards Efficient and Affordable LLM-based Exploration for Mobile Apps
  60. Anchoring AI Capabilities in Market Valuations: The Capability Realization Rate Model and Valuation Misalignment Risk
  61. Depth Anything with Any Prior
  62. End-to-End Vision Tokenizer Tuning
  63. Neural Thermodynamic Laws for Large Language Model Training
  64. An AI-driven framework for the prediction of personalised health response to air pollution
  65. Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning
  66. Pharmacophore-Conditioned Diffusion Model for Ligand-Based De Novo Drug Design
  67. LibIQ: Toward Real-Time Spectrum Classification in O-RAN dApps
  68. Multi-Token Prediction Needs Registers
  69. PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
  70. Learning Nonlinear Dynamics in Physical Modelling Synthesis using Neural Ordinary Differential Equations
  71. The Devil Is in the Word Alignment Details: On Translation-Based Cross-Lingual Transfer for Token Classification Tasks
  72. Batched Nonparametric Bandits via k-Nearest Neighbor UCB
  73. MorphGuard: Morph Specific Margin Loss for Enhancing Robustness to Face Morphing Attacks
  74. CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs
  75. Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective
  76. Multi-contrast laser endoscopy for in vivo gastrointestinal imaging
  77. Fixing Incomplete Value Function Decomposition for Multi-Agent Reinforcement Learning
  78. UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation
  79. Logos as a Well-Tempered Pre-train for Sign Language Recognition
  80. ControlGS: Consistent Structural Compression Control for Deployment-Aware Gaussian Splatting
  81. Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI
  82. FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering
  83. HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation
  84. SEAL: Searching Expandable Architectures for Incremental Learning
  85. Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods
  86. Inferring entropy production in many-body systems using nonequilibrium maximum entropy
  87. Are Large Language Models Robust in Understanding Code Against Semantics-Preserving Mutations?
  88. PIF: Anomaly detection via preference embedding
  89. Koopman Eigenfunction-Based Identification and Optimal Nonlinear Control of Turbojet Engine
  90. Formalising Human-in-the-Loop: Computational Reductions, Failure Modes, and Legal-Moral Responsibility
  91. The Power of Random Features and the Limits of Distribution-Free Gradient Descent
  92. Decomposed Inductive Procedure Learning: Learning Academic Tasks with Human-Like Data Efficiency
  93. Learned Lightweight Smartphone ISP with Unpaired Data
  94. Are LLM-generated plain language summaries truly understandable? A large-scale crowdsourced evaluation
  95. Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning
  96. Visual Fidelity Index for Generative Semantic Communications with Critical Information Embedding
  97. Evaluating Model Explanations without Ground Truth
  98. AutoCam: Hierarchical Path Planning for an Autonomous Auxiliary Camera in Surgical Robotics
  99. Inconsistency Handling in DatalogMTL
  100. Uncovering Magnetic Phases with Synthetic Data and Physics-Informed Training
  101. Schreier-Coset Graph Propagation
  102. Multi-domain Multilingual Sentiment Analysis in Industry: Predicting Aspect-based Opinion Quadruples
  103. Multi-Agent Path Finding For Large Agents Is Intractable
  104. ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
  105. A Hybrid Strategy for Probabilistic Forecasting and Trading of Aggregated Wind-Solar Power: Design and Analysis in HEFTCom2024
  106. Plasticity as the Mirror of Empowerment
  107. FactsR: A Safer Method for Producing High Quality Healthcare Documentation
  108. NVSPolicy: Adaptive Novel-View Synthesis for Generalizable Language-Conditioned Policy Learning
  109. Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing
  110. LDIR: Low-Dimensional Dense and Interpretable Text Embeddings with Relative Representations
  111. SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and O(T) Complexity
  112. Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning
  113. An Introduction to Discrete Variational Autoencoders
  114. Emergence of Structure in Ensembles of Random Neural Networks
  115. A Comparative Study of SMT and MILP for the Nurse Rostering Problem
  116. A Representation Learning Approach to Feature Drift Detection in Wireless Networks
  117. Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework
  118. Deconstructing Subset Construction -- Reducing While Determinizing
  119. Private Transformer Inference in MLaaS: A Survey
  120. SOS: A Shuffle Order Strategy for Data Augmentation in Industrial Human Activity Recognition
  121. A large-scale evaluation of commonsense knowledge in humans and large language models
  122. Negative Metric Learning for Graphs
  123. AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages
  124. Defending the Edge: Representative-Attention Defense against Backdoor Attacks in Federated Learning
  125. MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models
  126. MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning
  127. Streamlining evidence based clinical recommendations with large language models
  128. MFogHub: Bridging Multi-Regional and Multi-Satellite Data for Global Marine Fog Detection and Forecasting
  129. Estimating the number of household TV profiles based in customer behaviour using Gaussian mixture model averaging
  130. AttentionGuard: Transformer-based Misbehavior Detection for Secure Vehicular Platoons
  131. Spike-timing-dependent Hebbian learning as noisy gradient descent
  132. RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours
  133. HandReader: Advanced Techniques for Efficient Fingerspelling Recognition
  134. Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
  135. The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine
  136. Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data
  137. Inferring Driving Maps by Deep Learning-based Trail Map Extraction
  138. Sage Deer: A Super-Aligned Driving Generalist Is Your Copilot
  139. ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization
  140. MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation
  141. On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging
  142. Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation
  143. ComplexFormer: Disruptively Advancing Transformer Inference Ability via Head-Specific Complex Vector Attention
  144. Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
  145. Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M
  146. VolE: A Point-cloud Framework for Food 3D Reconstruction and Volume Estimation
  147. VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits
  148. A Fine-Grained Complexity View on Propositional Abduction -- Algorithms and Lower Bounds
  149. A multi-head deep fusion model for recognition of cattle foraging events using sound and movement signals
  150. Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion
  151. Defect Detection in Photolithographic Patterns Using Deep Learning Models Trained on Synthetic Data
  152. LanTu: Dynamics-Enhanced Deep Learning for Eddy-Resolving Ocean Forecasting
  153. A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support
  154. KAITIAN: A Unified Communication Framework for Enabling Efficient Collaboration Across Heterogeneous Accelerators in Embodied AI Systems
  155. Does Scaling Law Apply in Time Series Forecasting?
  156. Modeling Saliency Dataset Bias
  157. QuXAI: Explainers for Hybrid Quantum Machine Learning Models
  158. Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization
  159. Near Optimal Best Arm Identification for Clustered Bandits
  160. VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality
  161. Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks
  162. Robust Federated Learning on Edge Devices with Domain Heterogeneity
  163. Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning
  164. IMITATE: Image Registration with Context for unknown time frame recovery
  165. All You Need Is Synthetic Task Augmentation
  166. What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs
  167. EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation
  168. LAV: Audio-Driven Dynamic Visual Generation with Neural Compression and StyleGAN2
  169. A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection
  170. From Text to Network: Constructing a Knowledge Graph of Taiwan-Based China Studies Using Generative AI
  171. ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Cross-Modal Alignment Dataset
  172. Designing and Contextualising Probes for African Languages
  173. Role of scrambling and noise in temporal information processing with quantum systems
  174. Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering
  175. ToonifyGB: StyleGAN-based Gaussian Blendshapes for 3D Stylized Head Avatars
  176. CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability
  177. JointDistill: Adaptive Multi-Task Distillation for Joint Depth Estimation and Scene Segmentation
  178. Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
  179. Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field
  180. Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights
  181. Instance-Prototype Affinity Learning for Non-Exemplar Continual Graph Learning
  182. Optimal normalization in quantum-classical hybrid models for anti-cancer drug response prediction
  183. The First MPDD Challenge: Multimodal Personality-aware Depression Detection
  184. DeepSeqCoco: A Robust Mobile Friendly Deep Learning Model for Detection of Diseases in Cocos nucifera
  185. Application of YOLOv8 in monocular downward multiple Car Target detection
  186. DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs
  187. Quantum Computing and AI: Perspectives on Advanced Automation in Science and Engineering
  188. Topology-driven identification of repetitions in multi-variate time series
  189. AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model
  190. From Air to Wear: Personalized 3D Digital Fashion with AR/VR Immersive 3D Sketching
  191. Descriptive Image-Text Matching with Graded Contextual Similarity
  192. PointArena: Probing Multimodal Grounding Through Language-Guided Pointing
  193. AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron
  194. High Quality Underwater Image Compression with Adaptive Color Correction
  195. Who Said What WSW 2.0? Enhanced Automated Analysis of Preschool Classroom Speech
  196. APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
  197. A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives
  198. TKFNet: Learning Texture Key Factor Driven Feature for Facial Expression Recognition
  199. TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
  200. Task-Core Memory Management and Consolidation for Long-term Continual Learning
  201. Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors
  202. CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection
  203. Non-Registration Change Detection: A Novel Change Detection Task and Benchmark Dataset
  204. VRU-CIPI: Crossing Intention Prediction at Intersections for Improving Vulnerable Road Users Safety
  205. Demystifying AI Agents: The Final Generation of Intelligence
  206. DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation
  207. AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
  208. "There Is No Such Thing as a Dumb Question," But There Are Good Ones
  209. Offline Reinforcement Learning for Microgrid Voltage Regulation
  210. Large-Scale Gaussian Splatting SLAM
  211. Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture
  212. Crossing Borders Without Crossing Boundaries: How Sociolinguistic Awareness Can Optimize User Engagement with Localized Spanish AI Models Across Hispanophone Countries
  213. Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Experiments
  214. Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?
  215. BINGO: A Novel Pruning Mechanism to Reduce the Size of Neural Networks