mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 9 Oct 2024

378 papers

  1. OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous VehiclesEnd-to-end autonomous driving → Cooperative and V2X driving
  2. Steering Large Language Models using Conceptors: Improving Addition-Based Activation EngineeringMechanistic interpretability → Activation steering methods
  3. G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem SolvingDiffusion models → Inverse problems and image restoration
  4. ClickAgent: Enhancing UI Location Capabilities of Autonomous AgentsLLM agents and tool use → GUI and mobile agents
  5. TinyClick: Single-Turn Agent for Empowering GUI AutomationLLM agents and tool use → GUI and mobile agents
  6. Enhancing Vision-Language Model Pre-training with Image-text Pair Pruning Based on Word FrequencyMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  7. Herald: A Natural Language Annotated Lean 4 DatasetLLM reasoning → Mathematical reasoning
  8. FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated TextLLM safety and security → Watermarking generated content and models
  9. Instructional Segment Embedding: Improving LLM Safety with Instruction HierarchyLLM safety and security → Prompt injection and agent security
  10. Data Taggants: Dataset Ownership Verification via Harmless Targeted Data PoisoningLLM safety and security → Watermarking generated content and models
  11. Recent advancements in LLM Red-Teaming: Techniques, Defenses, and Ethical ConsiderationsLLM safety and security → Prompt injection and agent security
  12. NetDiff: Graph Diffusion with Improved Global Capabilities to Generate and Update Mobile Network TopologiesDiffusion models → Diffusion for compression and wireless
  13. Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive ReasonersLLM reasoning → Test-time compute and efficient thinking
  14. WALL-E: World Alignment by Rule Learning Improves World Model-based LLM AgentsWorld models → World models for language agents +1
  15. Towards a unified and verified understanding of group-operation networksMechanistic interpretability → Circuits and mechanistic analysis
  16. Language-Guided Joint Audio-Visual Editing via One-Shot AdaptationDiffusion models → Audio, speech and music
  17. SAGE: Scalable Ground Truth Evaluations for Large Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
  18. Zero-Shot Generalization of Vision-Based RL Without Data AugmentationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  19. Can Transformers Reason Logically? A Study in SAT SolvingLLM reasoning → Reasoning benchmarks and evaluation
  20. EventFlow: Forecasting Temporal Point Processes with Flow MatchingDiffusion models → Flow matching, time series and science
  21. Bayes-Nash Generative Privacy Against Membership Inference AttacksLLM safety and security → Membership inference attacks
  22. Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation ModelsDeep reinforcement learning methods → Deep RL algorithms and representations
  23. On the Feasibility of A Mixed-Method Approach for Solving Long Horizon Task-Oriented Dexterous ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  24. Structured Spatial Reasoning with Open Vocabulary Object DetectorsLLM reasoning → Spatial and embodied reasoning
  25. An Undetectable Watermark for Generative Image ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  26. Optimizing High-Level Synthesis Designs with Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → RAG for code
  27. MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation ExpertsMixture-of-experts → Efficient MoE training and inference systems
  28. DA-Code: Agent Data Science Code Generation Benchmark for Large Language ModelsLLM agents and tool use → Web, search, and research agents
  29. The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-MakingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  30. Rectified Diffusion: Straightness Is Not Your Need in Rectified FlowDiffusion models → Flow matching, time series and science
  31. ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion ModelDiffusion models → Video generation +1
  32. Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
  33. PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  34. BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion ModelsDiffusion models → Inverse problems and image restoration
  35. MM-Ego: Towards Building Egocentric Multimodal LLMs for Video QAMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  36. Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  37. IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing +1
  38. Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration RateMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  39. Embodied Agent Interface: Benchmarking LLMs for Embodied Decision MakingLLM agents and tool use → Multimodal and embodied agents
  40. AvatarGO: Zero-shot 4D Human-Object Interaction Generation and AnimationDiffusion models → Video generation
  41. Simplicity Prevails: Rethinking Negative Preference Optimization for LLM UnlearningLLM reasoning → Reasoning for agents, planning and code +2
  42. Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D SynthesisDiffusion models → 3D, point cloud and scene generation
  43. Towards Interpreting Visual Information Processing in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  44. Stuffed Mamba: Oversized States Lead to the Inability to ForgetState-space sequence models (S4, Mamba) → Core SSM architectures for language
  45. EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  46. Personalized Visual Instruction TuningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  47. VHELM: A Holistic Evaluation of Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  48. I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social HierarchyLLM agents and tool use → Social simulation and multi-agent debate
  49. Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered ContextLLM reasoning → Knowledge- and tool-augmented reasoning
  50. MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringLLM agents and tool use → Web, search, and research agents
  51. Pixtral 12BMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  52. Retrieval-Augmented Decision Transformer: External Memory for In-context RLRetrieval-augmented generation → Agentic RAG, agents and memory +1
  53. TinyEmo: Scaling down Emotional Reasoning via Metric ProjectionLLM reasoning → Audio-language model reasoning +1
  54. PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional AwarenessLLM reasoning → Reasoning benchmarks and evaluation
  55. Clean Evaluations on Contaminated Visual Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  56. CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedbackLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  57. Diffusion Density EstimatorsDiffusion models → Diffusion foundations and sampling
  58. Jointly Generating Multi-view Consistent PBR Textures using Collaborative ControlDiffusion models → 3D, point cloud and scene generation
  59. Structure-Centric Robust Monocular Depth Estimation via Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
  60. Quantifying Feature Space Universality Across Large Language Models via Sparse AutoencodersMechanistic interpretability → SAE features and their applications
  61. Uncovering Factor Level Preferences to Improve Human-Model AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  62. Self-Boosting Large Language Models with Synthetic Preference DataLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  63. Towards Exception Safety Code Generation with Intermediate Representation Agents FrameworkLLM agents and tool use → Software engineering coding agents
  64. Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ThinkDiffusion models → Diffusion foundations and sampling
  65. Reproducing and Extending Experiments in Behavioral Strategy with Large Language ModelsLLM agents and tool use → Social simulation and multi-agent debate
  66. SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference AccelerationEfficient LLM inference and serving → Speculative decoding
  67. Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction TuningLLM safety and security → Safety alignment, refusal and guardrails
  68. Compositional Entailment Learning for Hyperbolic Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  69. Combining Planning and Diffusion for Mobility with Unknown DynamicsDiffusion models → Diffusion and flow policies for robotics
  70. F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow MatchingDiffusion models → Audio, speech and music
  71. Safe Reinforcement Learning Filter for Multicopter Collision-Free Tracking under disturbancesDeep reinforcement learning methods → Safe and constrained RL
  72. Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation TransformationLLM safety and security → Federated unlearning and poisoning
  73. A Safety Modulator Actor-Critic Method in Model-Free Safe Reinforcement Learning and Application in UAV HoveringDeep reinforcement learning methods → Safe and constrained RL
  74. Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear ComplexityState-space sequence models (S4, Mamba) → Core SSM architectures for language
  75. MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health DisordersSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
  76. Boosting Few-Shot Detection with Large Language Models and Layout-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
  77. Transfer Learning for a Class of Cascade Dynamical SystemsDeep reinforcement learning methods → RL theory and sample complexity
  78. Defending Membership Inference Attacks via Privacy-aware Sparsity TuningLLM safety and security → Membership inference attacks
  79. Root Defence Strategies: Ensuring Safety of LLM at the Decoding LevelLLM safety and security → Jailbreaking
  80. QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space ModelState-space sequence models (S4, Mamba) → Vision Mamba backbones
  81. From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  82. HERM: Benchmarking and Enhancing Multimodal LLMs for Human-Centric UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  83. To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  84. MDiff-FMT: Morphology-aware Diffusion Model for Fluorescence Molecular Tomography with Small-scale DatasetsDiffusion models → Medical imaging and segmentation
  85. Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?LLM reasoning → Reasoning benchmarks and evaluation
  86. Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation PuzzlesLLM reasoning → Reasoning for agents, planning and code
  87. Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation TechniquesDiffusion models → Image generation, text-to-image and editing
  88. ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web AgentsLLM agents and tool use → Agent threats, guardrails and governance
  89. Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  90. Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference OptimizationMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
  91. Towards Universality: Studying Mechanistic Similarity Across Language Model ArchitecturesState-space sequence models (S4, Mamba) → Core SSM architectures for language +1
  92. Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task LearningDiffusion models → Diffusion foundations and sampling
  93. Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic ProgrammingDeep reinforcement learning methods → Deep RL algorithms and representations
  94. Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editingLLM reasoning → Mathematical reasoning +1
  95. Tree of Problems: Improving structured problem solving with compositionalityLLM reasoning → Prompting and chain-of-thought reasoning
  96. ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference TimeMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  97. Effective Exploration Based on the Structural Information PrinciplesDeep reinforcement learning methods → Deep RL algorithms and representations
  98. Learning Evolving Tools for Large Language ModelsLLM agents and tool use → Tool learning and function calling
  99. Dissecting Fine-Tuning Unlearning in Large Language ModelsLLM safety and security → Machine unlearning
  100. Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
All 378
  1. Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation MatchingKnowledge distillation → General knowledge distillation methods
  2. ING-VP: MLLMs cannot Play Easy Vision-based Games YetMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  3. The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  4. Investigating Cost-Efficiency of LLM-Generated Training Data for Conversational Semantic Frame AnalysisSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  5. TuringQ: Benchmarking AI Comprehension in Theory of ComputationLLM reasoning → Mathematical reasoning
  6. Signal Watermark on Large Language ModelsLLM safety and security → Watermarking generated content and models
  7. Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRALLM reasoning → Reasoning benchmarks and evaluation
  8. MotionRL: Align Text-to-Motion Generation to Human Preferences with Multi-Reward Reinforcement LearningLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
  9. Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference LearningLLM reasoning → Mathematical reasoning +2
  10. Chemistry-Inspired Diffusion with Non-Differentiable GuidanceDiffusion models → Flow matching, time series and science
  11. Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward HackLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification +1
  12. TCGU: Data-centric Graph Unlearning based on Transferable CondensationLLM safety and security → Graph unlearning
  13. Compressing Large Language Models with Automated Sub-Network SearchLLM reasoning → Test-time compute and efficient thinking
  14. Flipping-based Policy for Chance-Constrained Markov Decision ProcessesDeep reinforcement learning methods → Safe and constrained RL
  15. GRAPPA: Generalizing and Adapting Robot Policies via Online Agentic GuidanceLLM agents and tool use → Multimodal and embodied agents
  16. Enabling Novel Mission Operations and Interactions with ROSA: The Robot Operating System AgentLLM agents and tool use → Multimodal and embodied agents
  17. WAPITI: A Watermark for Finetuned Open-Source LLMsLLM safety and security → Watermarking generated content and models
  18. Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code RecommendersLLM safety and security → Backdoor and data poisoning attacks
  19. Mamba-based Segmentation Model for Speaker DiarizationState-space sequence models (S4, Mamba) → Speech and audio SSMs
  20. LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple ConstraintsLLM reasoning → Test-time compute and efficient thinking
  21. From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction TuningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  22. Machine Unlearning in Forgettability SequenceLLM safety and security → Machine unlearning
  23. DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response
  24. Point Cloud Synthesis Using Inner Product Transforms
  25. VehicleSDF: A 3D generative model for constrained engineering design via surrogate modeling
  26. rECGnition_v1.0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG
  27. Very High-Resolution Bridge Deformation Monitoring Using UAV-based Photogrammetry
  28. Context-Augmented Code Generation Using Programming Knowledge Graphs
  29. Point Cloud Compression with Bits-back Coding
  30. Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
  31. Scalable Co-Clustering for Large-Scale Data through Dynamic Partitioning and Hierarchical Merging
  32. QuAILoRA: Quantization-Aware Initialization for LoRA
  33. Abstracting Situation Calculus Action Theories
  34. A two-stage transliteration approach to improve performance of a multilingual ASR
  35. TextLap: Customizing Language Models for Text-to-Layout Planning
  36. Exploring Prompt Engineering: A Systematic Review with SWOT Analysis
  37. A Two-Model Approach for Humour Style Recognition
  38. UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models
  39. Answering Questions in Stages: Prompt Chaining for Contract QA
  40. Capturing Bias Diversity in LLMs
  41. A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management
  42. Fine-tuning can Help Detect Pretraining Data from Large Language Models
  43. Improving Data Efficiency via Curating LLM-Driven Rating Systems
  44. SHyPar: A Spectral Coarsening Approach to Hypergraph Partitioning
  45. Optimizing Transformer based on high-performance optimizer for predicting employment sentiment in American social media content
  46. AuditWen:An Open-Source Large Language Model for Audit
  47. MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection
  48. Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
  49. LSTM networks provide efficient cyanobacterial blooms forecasting even with incomplete spatio-temporal data
  50. IntrinsicVoice: Empowering LLMs with Intrinsic Real-time Voice Interaction Abilities
  51. Iterative Optimization Annotation Pipeline and ALSS-YOLO-Seg for Efficient Banana Plantation Segmentation in UAV Imagery
  52. Transducer Consistency Regularization for Speech to Text Applications
  53. MoDEM: Mixture of Domain Expert Models
  54. Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions
  55. Progressive Multi-Modal Fusion for Robust 3D Object Detection
  56. Localizing Factual Inconsistencies in Attributable Text Generation
  57. Exploring the design space of deep-learning-based weather forecasting systems
  58. SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
  59. Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning
  60. Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
  61. Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation
  62. Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
  63. Collective variables of neural networks: empirical time evolution and scaling laws
  64. TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing
  65. KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection
  66. Self-Supervised Learning for Real-World Object Detection: a Survey
  67. Robust infrared small target detection using self-supervised and a contrario paradigms
  68. Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap
  69. Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models
  70. The First VoicePrivacy Attacker Challenge Evaluation Plan
  71. A Generalization Bound for a Family of Implicit Networks
  72. CAFEEN: A Cooperative Approach for Energy Efficient NoCs with Multi-Agent Reinforcement Learning
  73. Bayesian Fusion of Active Contour Models and ConvNet Priors for Standing Dead Tree Segmentation
  74. NeRF-Accelerated Ecological Monitoring in Mixed-Evergreen Redwood Forest
  75. 3D2M Dataset: A 3-Dimension diverse Mesh Dataset
  76. Aligning Motion-Blurred Images Using Contrastive Learning on Overcomplete Pixels
  77. Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions
  78. Exploring Efficient Foundational Multi-modal Models for Video Summarization
  79. Enhancing Soccer Camera Calibration Through Keypoint Exploitation
  80. Advocating Character Error Rate for Multilingual ASR Evaluation
  81. Aligning AI-driven discovery with human intuition
  82. LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts
  83. The Cognitive Capabilities of Generative AI: A Comparative Analysis with Human Benchmarks
  84. Siamese networks for Poincar'e embeddings and the reconstruction of evolutionary trees
  85. En masse scanning and automated surfacing of small objects using Micro-CT
  86. SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers
  87. Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge
  88. Unlocking Real-Time Fluorescence Lifetime Imaging: Multi-Pixel Parallelism for FPGA-Accelerated Processing
  89. Improving the portability of predicting students performance models by using ontologies
  90. Generating Origin-Destination Matrices in Neural Spatial Interaction Models
  91. Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training
  92. A Blockchain and Artificial Intelligence based System for Halal Food Traceability
  93. Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits
  94. OTIS: Learning High-Quality Time Series Features With Tiny Encoders
  95. Enhancing Performance of Point Cloud Completion Networks with Consistency Loss
  96. IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
  97. Principal Orthogonal Latent Components Analysis (POLCA Net)
  98. Crafting Desirable Climate Trajectories with RL Explored Socio-Environmental Simulations
  99. Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
  100. A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences
  101. Swin-BERT: A Feature Fusion System designed for Speech-based Alzheimer's Dementia Detection
  102. Mitigation of gender bias in automatic facial non-verbal behaviors generation
  103. Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration
  104. Multi-Task Program Error Repair and Explanatory Diagnosis
  105. Deep Learning for Surgical Instrument Recognition and Segmentation in Robotic-Assisted Surgeries: A Systematic Review
  106. Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation
  107. Scintillation pulse characterization with spectrum-inspired temporal neural networks: case studies on particle detector signals
  108. Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting
  109. Neural Circuit Architectural Priors for Quadruped Locomotion
  110. Better Language Models Exhibit Higher Visual Alignment
  111. Glider: Global and Local Instruction-Driven Expert Router
  112. Parameter Efficient Fine-tuning via Explained Variance Adaptation
  113. Sylber: Syllabic Embedding Representation of Speech from Raw Audio
  114. Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond
  115. InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
  116. CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
  117. Taking a turn for the better: Conversation redirection throughout the course of mental-health therapy
  118. Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
  119. Exploring Large Language Models for Detecting Mental Disorders
  120. Thing2Reality: Transforming 2D Content into Conditioned Multiviews and 3D Gaussian Objects for XR Communication
  121. Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy
  122. Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
  123. Rejecting Hallucinated State Targets during Planning
  124. An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots
  125. LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
  126. Collusion Detection with Graph Neural Networks
  127. Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology
  128. Stanceformer: Target-Aware Transformer for Stance Detection
  129. JPEG Inspired Deep Learning
  130. MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
  131. Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
  132. Towards xAI: Configuring RNN Weights using Domain Knowledge for MIMO Receive Processing
  133. ReIFE: Re-evaluating Instruction-Following Evaluation
  134. A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research
  135. Data Selection via Optimal Control for Language Models
  136. InAttention: Linear Context Scaling for Transformers
  137. Online Epsilon Net and Piercing Set for Geometric Concepts
  138. Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
  139. Robots in the Middle: Evaluating LLMs in Dispute Resolution
  140. S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
  141. Z-upscaling: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM Volumes
  142. Emergent properties with repeated examples
  143. Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare
  144. Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
  145. Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
  146. Optimizing Estimators of Squared Calibration Errors in Classification
  147. Causal Representation Learning in Temporal Data via Single-Parent Decoding
  148. Pap2Pat: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs
  149. Mirror Bridges Between Probability Measures
  150. CursorCore: Assist Programming through Aligning Anything
  151. Feasibility Study of a Diffusion-Based Model for Cross-Modal Generation of Knee MRI from X-ray: Integrating Radiographic Feature Information
  152. Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
  153. Mixing of the No-U-Turn Sampler and the Geometry of Gaussian Concentration
  154. Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification
  155. Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
  156. Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimized Techniques Based on Dense Neural Networks
  157. Personal Intelligence System UniLM: Hybrid On-Device Small Language Model and Server-Based Large Language Model for Malay Nusantara
  158. DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions
  159. Bridge the Points: Graph-based Few-shot Segment Anything Semantically
  160. ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling
  161. Support Vector Boosting Machine (SVBM): Enhancing Classification Performance with AdaBoost and Residual Connections
  162. Faithful Interpretation for Graph Neural Networks
  163. A Trilogy of AI Safety Frameworks: Paths from Facts and Knowledge Gaps to Reliable Predictions and New Knowledge
  164. CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages
  165. AutoFeedback: An LLM-based Framework for Efficient and Accurate API Request Generation
  166. A covariance representation and an elementary proof of the Gaussian concentration inequality
  167. Predicting Market Trends with Enhanced Technical Indicator Integration and Classification Models
  168. Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks
  169. Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets
  170. Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility
  171. Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications
  172. Generative Model for Less-Resourced Language with 1 billion parameters
  173. Average Certified Radius is a Poor Metric for Randomized Smoothing
  174. Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation
  175. Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data
  176. FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding
  177. Adaptive Refinement Protocols for Distributed Distribution Estimation under ℓp-Losses
  178. Degree-Conscious Spiking Graph for Cross-Domain Adaptation
  179. Evaluating Model Performance with Hard-Swish Activation Function Adjustments
  180. Noise is All You Need: Private Second-Order Convergence of Noisy SGD
  181. Group Shapley Value and Counterfactual Simulations in a Structural Model
  182. Secure Video Quality Assessment Resisting Adversarial Attacks
  183. Students' Perceptions and Use of Generative AI Tools for Programming Across Different Computing Courses
  184. Understanding Model Ensemble in Transferable Adversarial Attack
  185. SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategy
  186. Dynamic metastability in the self-attention model
  187. K-SAM: A Prompting Method Using Pretrained U-Net to Improve Zero Shot Performance of SAM on Lung Segmentation in CXR Images
  188. Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods
  189. Dynamic Neural Potential Field: Online Trajectory Optimization in the Presence of Moving Obstacles
  190. An Improved Approach for Cardiac MRI Segmentation based on 3D UNet Combined with Papillary Muscle Exclusion
  191. Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification
  192. Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression
  193. Rethinking the Evaluation of Visible and Infrared Image Fusion
  194. The Clear Sky Corridor: Insights Towards Aerosol Formation in Exoplanets Using An AI-based Survey of Exoplanet Atmospheres
  195. Seg2Act: Global Context-aware Action Generation for Document Logical Structuring
  196. Low-Rank Filtering and Smoothing for Sequential Deep Learning
  197. Diffuse or Confuse: A Diffusion Deepfake Speech Dataset
  198. Deep End-to-End Survival Analysis with Temporal Consistency
  199. Transesophageal Echocardiography Generation using Anatomical Models
  200. Safe and High-Performance Learning of Model Predicitve Control using Kernel-Based Interpolation
  201. DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
  202. Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
  203. Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand
  204. Inference over Unseen Entities, Relations and Literals on Knowledge Graphs
  205. CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
  206. MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes
  207. Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data
  208. Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding
  209. Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy
  210. Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts
  211. Scaling Laws For Mixed Quantization
  212. MatMamba: A Matryoshka State Space Model
  213. Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
  214. Guaranteed Generation from Large Language Models
  215. Analysis of different disparity estimation techniques on aerial stereo image datasets
  216. Calibrating Verbalized Probabilities for Large Language Models
  217. PII-Scope: A Comprehensive Study on Training Data PII Extraction Attacks in LLMs
  218. Fourier-based Action Recognition for Wildlife Behavior Quantification with Event Cameras
  219. OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB
  220. Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds
  221. AI, Climate, and Regulation: From Data Centers to the AI Act
  222. M3Bench: Benchmarking Whole-body Motion Generation for Mobile Manipulation in 3D Scenes
  223. GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series
  224. Large Language Models as Code Executors: An Exploratory Study
  225. Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
  226. WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
  227. Task-oriented Time Series Imputation Evaluation via Generalized Representers
  228. Toward Physics-guided Time Series Embedding
  229. Continual Learning in the Frequency Domain
  230. Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments
  231. Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval
  232. QA-Calibration of Language Model Confidence Scores
  233. Pair-VPR: Place-Aware Pre-training and Contrastive Pair Classification for Visual Place Recognition with Vision Transformers
  234. ES-Gaussian: Gaussian Splatting Mapping via Error Space-Based Gaussian Completion
  235. Bahasa Harmony: A Comprehensive Dataset for Bahasa Text-to-Speech Synthesis with Discrete Codec Modeling of EnGen-TTS
  236. DDRN:a Data Distribution Reconstruction Network for Occluded Person Re-Identification
  237. Towards Natural Image Matting in the Wild via Real-Scenario Prior
  238. Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
  239. On The Relationship between Visual Anomaly-free and Anomalous Representations
  240. Can DeepFake Speech be Reliably Detected?
  241. Statistical Arbitrage in Rank Space
  242. Convex Distillation: Efficient Compression of Deep Networks via Convex Optimization
  243. Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare
  244. Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
  245. Deep Correlated Prompting for Visual Recognition with Missing Modalities
  246. DCP: Learning Accelerator Dataflow for Neural Network via Propagation
  247. InstantIR: Blind Image Restoration with Instant Generative Reference
  248. DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
  249. MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  250. Chip-Tuning: Classify Before Language Models Say
  251. Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
  252. EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task
  253. TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
  254. The Sampling-Gaussian for stereo matching
  255. Phase Diagram from Nonlinear Interaction between Superconducting Order and Density: Toward Data-Based Holographic Superconductor
  256. A Novel LLM-based Two-stage Summarization Approach for Long Dialogues
  257. SEGMENT+: Long Text Processing with Short-Context Language Models
  258. QuadBEV: An Efficient Quadruple-Task Perception Framework via Bird's-Eye-View Representation
  259. TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training
  260. PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning
  261. ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System
  262. On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task
  263. Conformal Prediction: A Data Perspective
  264. BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization
  265. Adaptive Guidance for Local Training in Heterogeneous Federated Learning
  266. HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher Resolution
  267. Deep Learning Ensemble for Predicting Diabetic Macular Edema Onset Using Ultra-Wide Field Color Fundus Image
  268. OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
  269. Leaf Stripping on Uniform Attachment Trees
  270. MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-Resolution
  271. 3D Representation Methods: A Survey
  272. Does Spatial Cognition Emerge in Frontier Models?
  273. A Benchmark on Directed Graph Representation Learning in Hardware Designs
  274. Modeling chaotic Lorenz ODE System using Scientific Machine Learning
  275. MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data
  276. Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
  277. LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality
  278. Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs