mlsanityData to 7 Oct 2026

Papers

New on arXiv

Tue 13 May 2025

329 papers

  1. Johnny: Structuring Representation Space to Enhance Machine Abstract Reasoning AbilityLLM reasoning → Multimodal reasoning
  2. FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUsLLM reasoning → Test-time compute and efficient thinking
  3. VLM-KG: Multimodal Radiology Knowledge Graph GenerationMultimodal LLMs / vision-language models → Medical vision-language models
  4. Detecting Prefix Bias in LLM-based Reward ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  5. LaDi-WM: A Latent Diffusion-based World Model for Predictive ManipulationWorld models → Embodied and robot world models +1
  6. Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-VerificationLLM reasoning → Hallucination detection and mitigation
  7. Block-Biased Mamba for Long-Range Sequence ProcessingState-space sequence models (S4, Mamba) → Core SSM architectures for language
  8. Prioritizing Image-Related Tokens Enhances Vision-Language Pre-TrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  9. Toward Cost-Efficient Serving of Mixture-of-Experts with AsynchronyMixture-of-experts → Efficient MoE training and inference systems
  10. Behind Maya: Building a Multilingual Vision Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  11. Grounding Synthetic Data Evaluations of Language Models in Unsupervised Document CorporaSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  12. IntrinsicEdit: Precise generative image manipulation in intrinsic spaceDiffusion models → Image generation, text-to-image and editing
  13. Optimized Couplings for Watermarking Large Language ModelsLLM safety and security → Watermarking generated content and models
  14. Generative AI for Autonomous Driving: Frontiers and OpportunitiesEnd-to-end autonomous driving → Generative simulation for driving
  15. Improved Algorithms for Differentially Private Language Model AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  16. LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI LibrariesLLM agents and tool use → Agent threats, guardrails and governance
  17. Generative AI for Urban Planning: Synthesizing Satellite Imagery via Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  18. ARC-NCA: Towards Developmental Solutions to the Abstraction and Reasoning CorpusLLM reasoning → Multimodal reasoning
  19. Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic MethodologyLLM agents and tool use → Multimodal and embodied agents
  20. Aya Vision: Advancing the Frontier of Multilingual MultimodalityMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  21. HCR-Reasoner: Synergizing Large Language Models and Theory for Human-like Causal ReasoningLLM reasoning → Causal reasoning in LLMs
  22. Preference Optimization for Combinatorial Optimization ProblemsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  23. Securing RAG: A Risk Assessment and Mitigation FrameworkRetrieval-augmented generation → Privacy and security of RAG
  24. Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  25. PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of ExpertsMixture-of-experts → Expert routing strategies
  26. NavDP: Learning Sim-to-Real Navigation Diffusion Policy with Privileged Information GuidanceDiffusion models → Diffusion and flow policies for robotics
  27. Adaptive Schema-aware Event Extraction with Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  28. A Mamba-based Network for Semi-supervised Singing Melody Extraction Using Confidence Binary RegularizationState-space sequence models (S4, Mamba) → Speech and audio SSMs
  29. Enhancing Software Development with Context-Aware Conversational Agents: A User Study on Developer Interactions with ChatbotsLLM agents and tool use → Software engineering coding agents
  30. WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  31. TRAIL: Trace Reasoning and Agentic Issue LocalizationLLM reasoning → Reasoning for agents, planning and code +1
  32. Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language ModelsDiffusion models → Image generation, text-to-image and editing
  33. Cost Function Estimation Using Inverse Reinforcement Learning with Minimal ObservationsOffline RL and imitation learning from data → Inverse reinforcement learning
  34. OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement LearningLLM reasoning → Multimodal reasoning +1
  35. Automatic Task Detection and Heterogeneous LLM Speculative DecodingEfficient LLM inference and serving → Speculative decoding
  36. MUBox: A Critical Evaluation Framework of Deep Machine UnlearningLLM safety and security → Machine unlearning
  37. Online Learning and UnlearningLLM safety and security → Machine unlearning
  38. From Seeing to Doing: Bridging Reasoning and Decision for Robotic ManipulationLLM reasoning → Spatial and embodied reasoning +1
  39. The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake NewsLLM agents and tool use → Web, search, and research agents
  40. InfoPO: On Mutual Information Maximization for Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  41. Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?LLM reasoning → Multimodal reasoning +1
  42. VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language ModelsLLM reasoning → Multimodal reasoning
  43. IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  44. Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
  45. Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and EfficiencyRetrieval-augmented generation → RAG pipeline design and evaluation
  46. ORACLE-Grasp: Zero-Shot Affordance-Aligned Robotic Grasping using Large Multimodal ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  47. ConDiSim: Conditional Diffusion Models for Simulation Based InferenceDiffusion models → Diffusion foundations and sampling
  48. Adaptive GoGI-Skip: Coupling Goal-Gradient Importance with Dynamic Uncertainty for Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
  49. Adaptive Diffusion Policy Optimization for Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
  50. Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-ReformulationLLM reasoning → Reinforcement learning for reasoning
  51. AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B ScaleLLM reasoning → Reasoning benchmarks and evaluation +1
  52. Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained EnvironmentsState-space sequence models (S4, Mamba) → Core SSM architectures for language
  53. Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware DiffusionDiffusion models → Diffusion for compression and wireless
  54. Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
  55. Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge IntegrationRetrieval-augmented generation → Generation and context integration
  56. Where the Devil Hides: Deepfake Detectors Can No Longer Be TrustedLLM safety and security → Watermarking generated content and models
  57. Skeleton-Guided Diffusion Model for Accurate Foot X-ray Synthesis in Hallux Valgus DiagnosisDiffusion models → Medical imaging and segmentation
  58. Identifying Memorization of Diffusion Models through p-Laplace Analysis: Estimators, Bounds and ApplicationsDiffusion models → Diffusion foundations and sampling
  59. Training Strategies for Efficient Embodied ReasoningLLM reasoning → Spatial and embodied reasoning +1
  60. EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame InterpolationDiffusion models → Video generation
  61. Removing Watermarks with Partial Regeneration using Semantic InformationLLM safety and security → Watermarking generated content and models
  62. Scaling Multi Agent Reinforcement Learning for Underwater Acoustic Tracking via Autonomous VehiclesEnd-to-end autonomous driving → Reinforcement learning for driving
  63. Visual Watermarking in the Era of Diffusion Models: Advances and ChallengesDiffusion models → Robustness, privacy and adversarial aspects +1
  64. CLTP: Contrastive Language-Tactile Pre-training for 3D Contact Geometry UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  65. Unsupervised Raindrop Removal from a Single Image using Conditional Diffusion ModelsDiffusion models → Inverse problems and image restoration
  66. DSADF: Thinking Fast and Slow for Decision MakingLLM reasoning → Reinforcement learning for reasoning
  67. Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RLOffline RL and imitation learning from data → Safe offline RL
  68. Fusing Bidirectional Chains of Thought and Reward Mechanisms A Method for Enhancing Question-Answering Capabilities of Large Language Models for Chinese Intangible Cultural HeritageLLM reasoning → Reasoning benchmarks and evaluation
  69. Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion ModelsDiffusion models → Medical imaging and segmentation
  70. Lost in Transmission: When and Why LLMs Fail to Reason GloballyLLM reasoning → Test-time compute and efficient thinking
  71. Mirror Mirror on the Wall, Have I Forgotten it All? A New Framework for Evaluating Machine UnlearningLLM safety and security → Machine unlearning
  72. ALOHA: Empowering Multilingual Agent for University Orientation with Hierarchical RetrievalLLM agents and tool use → Web, search, and research agents
  73. 'Memory States' from Almost Nothing: Representing and Computing in a Non-associative Algebra
  74. AI Accelerators for Large Language Model Inference: Architecture Analysis and Scaling Strategies
  75. On the Parallels Between Evolutionary Theory and the State of AI
  76. PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models
  77. Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models
  78. Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression
  79. Model-Distributed Inference for Large Language Models at the Edge
  80. QRA++: Quantified Reproducibility Assessment for Common Types of Results in Natural Language Processing
  81. Exploring EFL Secondary Students' AI-generated Text Editing While Composition Writing
  82. Generalizing Large Language Model Usability Across Resource-Constrained
  83. A new classification system of beer categories and styles based on large-scale data mining and self-organizing maps of beer recipes
  84. DynamicDTA: Drug-Target Binding Affinity Prediction Using Dynamic Descriptors and Graph Representation
  85. Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning
  86. Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
  87. Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
  88. Geospatial Representation Learning: A Survey from Deep Learning to The LLM Era
  89. Next Word Suggestion using Graph Neural Network
  90. Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control
  91. Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation
  92. Probabilistic Wind Power Modelling via Heteroscedastic Non-Stationary Gaussian Processes
  93. Automated Meta Prompt Engineering for Alignment with the Theory of Mind
  94. AI-Mediated Code Comment Improvement
  95. Multimodal Fusion of Glucose Monitoring and Food Imagery for Caloric Content Prediction
  96. DyGSSM: Multi-view Dynamic Graph Embeddings with State Space Model Gradient Update
  97. Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
  98. AI-driven software for automated quantification of skeletal metastases and treatment response evaluation using Whole-Body Diffusion-Weighted MRI (WB-DWI) in Advanced Prostate Cancer
  99. For GPT-4 as with Humans: Information Structure Predicts Acceptability of Long-Distance Dependencies
  100. Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features
All 329
  1. Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition
  2. Towards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking
  3. Neural BRDF Importance Sampling by Reparameterization
  4. A suite of LMs comprehend puzzle statements as well as humans
  5. Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning
  6. Toward Accessible and Safe Live Streaming Using Distributed Content Filtering with MoQ
  7. Generalization in Monitored Markov Decision Processes (Mon-MDPs)
  8. ChicGrasp: Imitation-Learning based Customized Dual-Jaw Gripper Control for Delicate, Irregular Bio-products Manipulation
  9. Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret
  10. SaFARi: State-Space Models for Frame-Agnostic Representation
  11. GPML: Graph Processing for Machine Learning
  12. Learning Informative Attention Weights for Person Re-Identification
  13. Multi-step manipulation task and motion planning guided by video demonstration
  14. ForeCite: Adapting Pre-Trained Language Models to Predict Future Citation Rates of Academic Papers
  15. NeurIPS 2024 Ariel Data Challenge: Characterisation of Exoplanetary Atmospheres Using a Data-Centric Approach
  16. Tracing the Invisible: Understanding Students' Judgment in AI-Supported Design Work
  17. Parameter-Efficient Fine-Tuning of Vision Foundation Model for Forest Floor Segmentation from UAV Imagery
  18. Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions
  19. When repeats drive the vocabulary: a Byte-Pair Encoding analysis of T2T primate genomes
  20. A New Tractable Description Logic under Categorical Semantics
  21. An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models
  22. Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
  23. Statistical Decision Theory with Counterfactual Loss
  24. FareShare: A Tool for Labor Organizers to Estimate Lost Wages and Contest Arbitrary AI and Algorithmic Deactivations
  25. Performance Gains of LLMs With Humans in a World of LLMs Versus Humans
  26. Bounding Neyman-Pearson Region with f-Divergences
  27. Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections
  28. WaLLM -- Understanding Use and Engagement with a General-Purpose LLM on WhatsApp
  29. Clicking some of the silly options: Exploring Player Motivation in Static and Dynamic Educational Interactive Narratives
  30. Optimizing Neuro-Fuzzy and Colonial Competition Algorithms for Skin Cancer Diagnosis in Dermatoscopic Images
  31. Intelligent Road Anomaly Detection with Real-time Notification System for Enhanced Road Safety
  32. On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction
  33. Evaluating Simplification Algorithms for Interpretability of Time Series Classification
  34. Validation of Conformal Prediction in Cervical Atypia Classification
  35. CellTypeAgent: Trustworthy cell type annotation with Large Language Models
  36. Total Variation-Based Image Decomposition and Denoising for Microscopy Images
  37. Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America
  38. Ultrasound Report Generation with Multimodal Large Language Models for Standardized Texts
  39. Adaptive Security Policy Management in Cloud Environments Using Reinforcement Learning
  40. Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
  41. Crowd Scene Analysis using Deep Learning Techniques
  42. Federated Large Language Models: Feasibility, Robustness, Security and Future Directions
  43. Aggregating Concepts of Fairness and Accuracy in Prediction Algorithms
  44. Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence
  45. UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations
  46. PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
  47. CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
  48. Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
  49. HealthBench: Evaluating Large Language Models Towards Improved Human Health
  50. Generative Molecular Design with Steerable and Granular Synthesizability Control
  51. SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models
  52. Implet: A Post-hoc Subsequence Explainer for Time Series Models
  53. Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion
  54. DeepMath-Creative: A Benchmark for Evaluating Mathematical Creativity of Large Language Models
  55. Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
  56. Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies
  57. Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data
  58. NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context
  59. Memorization-Compression Cycles Improve Generalization
  60. TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series
  61. Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
  62. Big Data and the Computational Social Science of Entrepreneurship and Innovation
  63. Instance-aware Image Colorization with Controllable Textual Descriptions and Segmentation Masks
  64. LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs
  65. Continuous Temporal Learning of Probability Distributions via Neural ODEs with Applications in Continuous Glucose Monitoring Data
  66. SPAST: Arbitrary Style Transfer with Style Priors via Pre-trained Large-scale Model
  67. A Survey of Deep Learning for Complex Speech Spectrograms
  68. VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
  69. VizCV: AI-assisted visualization of researchers' publications tracks
  70. AC-PKAN: Attention-Enhanced and Chebyshev Polynomial-Based Physics-Informed Kolmogorov-Arnold Networks
  71. CAD-Coder:Text-Guided CAD Files Code Generation
  72. Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results
  73. Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
  74. A Study of Data-driven Methods for Inventory Optimization
  75. Claycode: Stylable and Deformable 2D Scannable Codes
  76. SkillFormer: Unified Multi-View Video Understanding for Proficiency Estimation
  77. A Social Robot with Inner Speech for Dietary Guidance
  78. Revealing economic facts: LLMs know more than they say
  79. A Comparative Study of Human Activity Recognition: Motion, Tactile, and multi-modal Approaches
  80. Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing
  81. Modular Federated Learning: A Meta-Framework Perspective
  82. DLO-Splatting: Tracking Deformable Linear Objects Using 3D Gaussian Splatting
  83. Learning cardiac activation and repolarization times with operator learning
  84. Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning
  85. Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach
  86. Resource-Efficient Language Models: Quantization for Fast and Accessible Inference
  87. A portable diagnosis model for Keratoconus using a smartphone
  88. WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks
  89. neuralGAM: An R Package for Fitting Generalized Additive Neural Networks
  90. Automated Model-Free Sorting of Single-Molecule Fluorescence Events Using a Deep Learning Based Hidden-State Model
  91. Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World
  92. Leveraging Multi-Modal Information to Enhance Dataset Distillation
  93. Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
  94. Rejoining fragmented ancient bamboo slips with physics-driven deep learning
  95. MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent units
  96. Clustering of Incomplete Data via a Bipartite Graph Structure
  97. Enhancing Thyroid Cytology Diagnosis with RAG-Optimized LLMs and Pa-thology Foundation Models
  98. MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment
  99. Small but Significant: On the Promise of Small Language Models for Accessible AIED
  100. PrePrompt: Predictive prompting for class incremental learning
  101. A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
  102. ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking
  103. Extreme Conformal Prediction: Reliable Intervals for High-Impact Events
  104. Thermal Detection of People with Mobility Restrictions for Barrier Reduction at Traffic Lights Controlled Intersections
  105. Reinforcement Learning meets Masked Video Modeling : Trajectory-Guided Adaptive Token Selection
  106. DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art
  107. Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation
  108. Guiding LLM-based Smart Contract Generation with Finite State Machine
  109. The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning
  110. Diffusion-assisted Model Predictive Control Optimization for Power System Real-Time Operation
  111. Building-Block Aware Generative Modeling for 3D Crystals of Metal Organic Frameworks
  112. ExEBench: Benchmarking Foundation Models on Extreme Earth Events
  113. GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
  114. Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting
  115. Dynamic Snake Upsampling Operater and Boundary-Skeleton Weighted Loss for Tubular Structure Segmentation
  116. Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis
  117. On the Complexity and Properties of Preferential Propositional Dependence Logic
  118. SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery
  119. A Deep Learning-Driven Inhalation Injury Grading Assistant Using Bronchoscopy Images
  120. Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
  121. TrialMatchAI: An End-to-End AI-powered Clinical Trial Recommendation System to Streamline Patient-to-Trial Matching
  122. Reassessing Graph Linearization for Sequence-to-sequence AMR Parsing: On the Advantages and Limitations of Triple-Based Encoding
  123. LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models
  124. A new methodology to decompose a parametric domain using reduced order data manifold in machine learning
  125. Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM
  126. Isolation Forest in Novelty Detection Scenario
  127. An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling
  128. BAT: Benchmark for Auto-bidding Task
  129. Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing
  130. Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions
  131. RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language Models
  132. Strategy-Augmented Planning for Large Language Models via Opponent Exploitation
  133. A note on concentration inequalities for the overlapped batch mean variance estimators for Markov chains
  134. Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges
  135. Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem
  136. Agent-as-a-Service based on Agent Network
  137. A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court
  138. A Survey of 3D Reconstruction with Event Cameras
  139. TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery Detection
  140. Hakim: Farsi Text Embedding Model
  141. GNCAF: A GNN-based Neighboring Context Aggregation Framework for Tertiary Lymphoid Structures Semantic Segmentation in WSI
  142. Visual Image Reconstruction from Brain Activity via Latent Representation
  143. DHECA-SuperGaze: Dual Head-Eye Cross-Attention and Super-Resolution for Unconstrained Gaze Estimation
  144. DArFace: Deformation Aware Robustness for Low Quality Face Recognition
  145. An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care
  146. Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning
  147. Explaining Autonomous Vehicles with Intention-aware Policy Graphs
  148. TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers
  149. Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
  150. Towards Contamination Resistant Benchmarks
  151. Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
  152. Learning Treatment Allocations with Risk Control Under Partial Identifiability
  153. Density Ratio-based Causal Discovery from Bivariate Continuous-Discrete Data
  154. Non-contact Vital Signs Detection in Dynamic Environments
  155. Localization of Impacts on Thin-Walled Structures by Recurrent Neural Networks: End-to-end Learning from Real-World Data
  156. Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
  157. Alignment Drift in CEFR-prompted LLMs for Interactive Spanish Tutoring
  158. STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives
  159. FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
  160. Geometry of Semantics in Next-Token Prediction: How Optimization Implicitly Organizes Linguistic Representations
  161. SHAP-based Explanations are Sensitive to Feature Representation
  162. An Identifiable Cost-Aware Causal Decision-Making Framework Using Counterfactual Reasoning
  163. Benchmarking AI scientists for omics data driven biological discovery
  164. A computer vision-based model for occupancy detection using low-resolution thermal images
  165. Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer
  166. Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
  167. FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
  168. An incremental algorithm for non-convex AI-enhanced medical image processing
  169. Adaptive Branch Specialization in Spectral-Spatial Graph Neural Networks for Certified Robustness
  170. Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity
  171. Rapid Overfitting of Multi-Pass Stochastic Gradient Descent in Stochastic Convex Optimization
  172. Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow
  173. Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing
  174. A Practical Introduction to Deep Reinforcement Learning
  175. FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units
  176. M3G: Multi-Granular Gesture Generator for Audio-Driven Full-Body Human Motion Synthesis
  177. High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
  178. Disruptive Transformation of Artworks in Master-Disciple Relationships: The Case of Ukiyo-e Artworks
  179. DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities
  180. Iteratively reweighted kernel machines efficiently learn sparse functions
  181. IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping
  182. Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
  183. LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
  184. Super-fast Rates of Convergence for Neural Network Classifiers under the Hard Margin Condition
  185. Few-shot Novel Category Discovery
  186. CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets
  187. Clustering-Based Low-Rank Matrix Approximation for Medical Image Compression
  188. Evaluating LLM Metrics Through Real-World Capabilities
  189. Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement
  190. Congenital Heart Disease recognition using Deep Learning/Transformer models
  191. ACT-R: Adaptive Camera Trajectories for Single View 3D Reconstruction
  192. Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations
  193. G-MSGINet: A Grouped Multi-Scale Graph-Involution Network for Contactless Fingerprint Recognition
  194. HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne Perspective
  195. Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix
  196. Reinforcement Learning-based Fault-Tolerant Control for Quadrotor with Online Transformer Adaptation
  197. Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks
  198. Continuous Symmetry Discovery and Enforcement Using Infinitesimal Generators of Multi-parameter Group Actions
  199. Unveiling the Best Practices for Applying Speech Foundation Models to Speech Intelligibility Prediction for Hearing-Impaired People
  200. An Effective Flow-based Method for Positive-Unlabeled Learning: 2-HNC
  201. Not that Groove: Zero-Shot Symbolic Music Editing
  202. AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques
  203. A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs
  204. A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting
  205. SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation
  206. ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction
  207. Aitomia: Your Intelligent Assistant for AI-Driven Atomistic and Quantum Chemical Simulations
  208. SpNeRF: Memory Efficient Sparse Volumetric Neural Rendering Accelerator for Edge Devices
  209. Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images
  210. Behind the Noise: Conformal Quantile Regression Reveals Emergent Representations
  211. Fast Text-to-Audio Generation with Adversarial Post-Training
  212. Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification
  213. MoKD: Multi-Task Optimization for Knowledge Distillation
  214. Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
  215. Decoding Neighborhood Environments with Large Language Models
  216. Self-Optimizing Machine Learning Potential Assisted Automated Workflow for Highly Efficient Complex Systems Material Design
  217. Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model
  218. Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
  219. Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering
  220. Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast
  221. A Large-Scale Empirical Analysis of Custom GPTs' Vulnerabilities in the OpenAI Ecosystem
  222. Tensor Sketch: Fast and Scalable Polynomial Kernel Approximation
  223. A Generalized Hierarchical Federated Learning Framework with Theoretical Guarantees
  224. Communication styles and reader preferences of LLM- and human-authored COVID-19 information explanations: a case study
  225. Large Language Models for Computer-Aided Design: A Survey
  226. Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
  227. One Bad NOFO? AI Governance in Federal Grantmaking
  228. High-order Regularization for Machine Learning and Learning-based Control
  229. Beyond Basic A/B testing: Improving Statistical Efficiency for Business Growth