mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 23 Apr 2025

265 papers

  1. Sparks of Tabular Reasoning via Text2SQL Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning
  2. WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World ModelWorld models → World models for language agents +2
  3. PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model AdaptationEfficient LLM inference and serving → Speculative decoding
  4. Sparsity Forcing: Reinforcing Token Sparsity of MLLMsEfficient LLM inference and serving → Visual token pruning in multimodal models
  5. VideoVista-CulturalLingo: 360^circ Horizons-Bridging Cultures, Languages, and Domains in Video ComprehensionLLM reasoning → Multimodal reasoning
  6. Reinforcement learning framework for the mechanical design of microelectronic components under multiphysics constraintsDeep reinforcement learning methods → RL for energy, networks and operations
  7. MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation EvaluationRetrieval-augmented generation → RAG pipeline design and evaluation
  8. Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" ControlLLM reasoning → Prompting and chain-of-thought reasoning
  9. Co-CoT: A Prompt-Based Framework for Collaborative Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  10. Leveraging LLMs as Meta-Judges: A Multi-Agent Framework for Evaluating LLM JudgmentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  11. Physics-guided and fabrication-aware inverse design of photonic devices using diffusion modelsDiffusion models → Flow matching, time series and science
  12. Diffusion Probabilistic Models for Compressive SAR ImagingDiffusion models → Inverse problems and image restoration
  13. DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  14. A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  15. Latent Diffusion Planning for Imitation LearningDiffusion models → Diffusion and flow policies for robotics +1
  16. OptimAI: Optimization from Natural Language Using LLM-Powered AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  17. Zero-shot Sim-to-Real Transfer for Reinforcement Learning-based Visual Servoing of Soft Continuum ArmsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  18. Tracing Thought: Using Chain-of-Thought Reasoning to Identify the LLM Behind AI-Generated TextLLM reasoning → Prompting and chain-of-thought reasoning
  19. BadVideo: Stealthy Backdoor Attack against Text-to-Video GenerationLLM safety and security → Backdoor and data poisoning attacks
  20. Building A Secure Agentic AI Application Leveraging A2A ProtocolLLM agents and tool use → Agent threats, guardrails and governance
  21. AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning datasetLLM reasoning → Mathematical reasoning
  22. Enhancing Critical Thinking with AI: A Tailored Warning System for RAG ModelsLLM reasoning → Hallucination detection and mitigation +1
  23. Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel CombustionDeep reinforcement learning methods → RL for autonomous driving and traffic
  24. Planning with Diffusion Models for Target-Oriented Dialogue SystemsDiffusion models → Discrete and text diffusion
  25. Emo Pillars: Knowledge Distillation to Support Fine-Grained Context-Aware and Context-Less Emotion ClassificationKnowledge distillation → Multimodal distillation
  26. Monte Carlo Planning with Large Language Model for Text-Based Game AgentsLLM agents and tool use → Reinforcement learning for LLM agents
  27. Physically Consistent Humanoid Loco-Manipulation using Latent Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  28. GreenMind: A Next-Generation Vietnamese Large Language Model for Structured and Logical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  29. Process Reward Models That ThinkLLM reasoning → Reinforcement learning for reasoning +1
  30. Decoupled Global-Local Alignment for Improving Compositional UnderstandingKnowledge distillation → Multimodal distillation
  31. Credible Plan-Driven RAG Method for Multi-Hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  32. A Survey of AI Agent ProtocolsLLM agents and tool use → General LLM agent frameworks and benchmarks
  33. Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path ForwardMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  34. PIN-WM: Learning Physics-INformed World Models for Non-Prehensile ManipulationWorld models → Embodied and robot world models
  35. MCMC for Bayesian estimation of Differential Privacy from Membership Inference AttacksLLM safety and security → Membership inference attacks
  36. Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real RobotsWorld models → Latent dynamics models and model-based RL +1
  37. A Diff-Attention Aware State Space Fusion Model for Remote Sensing ClassificationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  38. Skywork R1V2: Multimodal Hybrid Reinforcement Learning for ReasoningLLM reasoning → Multimodal reasoning
  39. Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH ModelsDeep reinforcement learning methods → Adversarial robustness and RL in finance
  40. ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models using Pareto High-quality DataLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  41. HERB: Human-augmented Efficient Reinforcement learning for Bin-packingOffline RL and imitation learning from data → Robot manipulation imitation learning +1
  42. JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  43. Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic FlowsDeep reinforcement learning methods → RL theory and sample complexity
  44. Hyper-Transforming Latent Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  45. PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt CompressionEfficient LLM inference and serving → Prompt and context compression
  46. Enhancing LLM-Based Agents via Global Planning and Hierarchical ExecutionLLM agents and tool use → General LLM agent frameworks and benchmarks
  47. A Comprehensive Survey of Synthetic Tabular Data GenerationDiffusion models → Flow matching, time series and science
  48. TraveLLaMA: A Multimodal Travel Assistant with Large-Scale Dataset and Structured ReasoningLLM reasoning → Spatial and embodied reasoning +1
  49. Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent DebateLLM reasoning → Reasoning for agents, planning and code +2
  50. The Dance of Atoms-De Novo Protein Design with Diffusion ModelDiffusion models → Flow matching, time series and science
  51. ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual GuidanceWorld models → Embodied and robot world models
  52. POPri: Private Federated Learning using Preference-Optimized Synthetic DataLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
  53. FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  54. Target Concrete Score Matching: A Holistic Framework for Discrete DiffusionDiffusion models → Discrete and text diffusion
  55. Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge InjectionRetrieval-augmented generation → Privacy and security of RAG
  56. A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic ParadigmsLLM agents and tool use → Agentic recommender systems
  57. Anytime Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  58. Natural Policy Gradient for Average Reward Non-Stationary RLDeep reinforcement learning methods → RL theory and sample complexity
  59. Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Case StudyLLM reasoning → Knowledge- and tool-augmented reasoning
  60. LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided DistillationLLM reasoning → Reasoning for agents, planning and code +1
  61. EEmo-Bench: A Benchmark for Multi-modal Large Language Models on Image Evoked Emotion AssessmentMultimodal LLMs / vision-language models → Multimodal emotion understanding
  62. SplitReason: Learning To Offload ReasoningLLM reasoning → Test-time compute and efficient thinking
  63. VideoMark: A Distortion-Free Robust Watermarking Framework for Video Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  64. Impact of Comments on LLM Comprehension of Legacy Code
  65. Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow
  66. Structure & Quality: Conceptual and Formal Foundations for the Mind-Body Problem
  67. Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
  68. OccuEMBED: Occupancy Extraction Merged with Building Energy Disaggregation for Occupant-Responsive Operation at Scale
  69. ECGDeDRDNet: A deep learning-based method for Electrocardiogram noise removal using a double recurrent dense network
  70. AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine
  71. Design and Application of Multimodal Large Language Model Based System for End to End Automation of Accident Dataset Generation
  72. UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models
  73. Creating and Evaluating Code-Mixed Nepali-English and Telugu-English Datasets for Abusive Language Detection Using Traditional and Deep Learning Models
  74. Durghotona GPT: A Web Scraping and Large Language Model Based Framework to Generate Road Accident Dataset Automatically in Bangladesh
  75. ParamDelta for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
  76. Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuning
  77. Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging
  78. An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study
  79. EduBot -- Can LLMs Solve Personalized Learning and Programming Assignments?
  80. The Cloud Weaving Model for AI development
  81. A multi-scale vision transformer-based multimodal GeoAI model for mapping Arctic permafrost thaw
  82. A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification
  83. Learning Underwater Active Perception in Simulation
  84. Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute
  85. Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning
  86. Scalable Permutation-Aware Modeling for Temporal Set Prediction
  87. Latent Video Dataset Distillation
  88. Peer-Aware Cost Estimation in Nonlinear General-Sum Dynamic Games for Mutual Learning and Intent Inference
  89. PACE: A Framework for Learning and Control in Linear Incomplete-Information Differential Games
  90. Demonstration of an AI-driven workflow for dynamic x-ray spectroscopy
  91. Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET
  92. The Rise of Small Language Models in Healthcare: A Comprehensive Survey
  93. Anatomy-constrained modelling of image-derived input functions in dynamic PET using multi-organ segmentation
  94. Physics-informed features in supervised machine learning
  95. Transferring Spatial Filters via Tangent Space Alignment in Motor Imagery BCIs
  96. Discovering the Precursors of Traffic Breakdowns Using Spatiotemporal Graph Attribution Networks
  97. Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
  98. GeoRDF2Vec Learning Location-Aware Entity Representations in Knowledge Graphs
  99. How Individual Traits and Language Styles Shape Preferences In Open-ended User-LLM Interaction: A Preliminary Study
  100. A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices
All 265
  1. Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection
  2. Agree to Disagree? A Meta-Evaluation of LLM Misgendering
  3. Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy
  4. Sparse Phased Array Optimization Using Deep Learning
  5. MuTRAP: Multi-trigger Trojans Attacking Robot Task Planning Systems
  6. Distilling Specialized Orders for Visual Generation
  7. In-Context Learning can distort the relationship between sequence likelihoods and biological fitness
  8. PPS-Ctrl: Controllable Sim-to-Real Translation for Colonoscopy Depth Estimation
  9. Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching
  10. Antenna Near-Field Reconstruction from Far-Field Data Using Convolutional Neural Networks
  11. ePBR: Extended PBR Materials in Image Synthesis
  12. Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
  13. PReSS: An Automated Black-Box Framework for Evaluating Political Stance Stability in LLMs
  14. Approaches to Responsible Governance of GenAI in Organizations
  15. Dense Air Pollution Estimation from Sparse in-situ Measurements and Satellite Data
  16. SCALAR: A Part-of-speech Tagger for Identifiers
  17. Fried Parameter Estimation from Single Wavefront Sensor Image with Artificial Neural Networks
  18. Democracy of AI Numerical Weather Models: An Example of Global Forecasting with FourCastNetv2 Made by a University Research Lab Using GPU
  19. Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation
  20. Are explainable AI (XAI) evaluation strategies aligned? Comparing subjective, objective, and mathematical evaluation measures using saliency maps
  21. Analyzing Value Functions of States in Parametric Markov Chains
  22. Neural Theorem Proving: Generating and Structuring Proofs for Formal Verification
  23. A weighted-likelihood framework for class imbalance in Bayesian prediction models
  24. Relationship between H"older Divergence and Functional Density Power Divergence: Intersection and Generalization
  25. (Im)possibility of Automated Hallucination Detection in Large Language Models
  26. Safety Pretraining: Toward the Next Generation of Safe AI
  27. Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline
  28. Tokenization Matters: Improving Zero-Shot NER for Indic Languages
  29. Seeing The Words: Evaluating AI-generated Biblical Art
  30. Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications
  31. STFM: A Spatio-Temporal Information Fusion Model Based on Phase Space Reconstruction for Sea Surface Temperature Prediction
  32. Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models
  33. BackSlash: Rate Constrained Optimized Training of Large Language Models
  34. A Novel Graph Transformer Framework for Gene Regulatory Network Inference
  35. What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching?
  36. I-Con: A Unifying Framework for Representation Learning
  37. Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
  38. Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light
  39. IberBench: LLM Evaluation on Iberian Languages
  40. Application of an attention-based CNN-BiLSTM framework for in vivo two-photon calcium imaging of neuronal ensembles: decoding complex bilateral forelimb movements from unilateral M1
  41. DreamO: A Unified Framework for Image Customization
  42. Exploring zero-shot structure-based protein fitness prediction
  43. Do Large Language Models know who did what to whom?
  44. Learning Verifiable Control Policies Using Relaxed Verification
  45. Exploring How LLMs Capture and Represent Domain-Specific Knowledge
  46. High-Quality Cloud-Free Optical Image Synthesis Using Multi-Temporal SAR and Contaminated Optical Data
  47. An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning
  48. Common Functional Decompositions Can Mis-attribute Differences in Outcomes Between Populations
  49. Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space
  50. A Low-Cost Photogrammetry System for 3D Plant Modeling and Phenotyping
  51. Approximating Optimal Labelings for Temporal Connectivity
  52. Improving Significant Wave Height Prediction Using Chronos Models
  53. Evaluating Autoencoders for Parametric and Invertible Multidimensional Projections
  54. LLM-assisted Graph-RAG Information Extraction from IFC Data
  55. 4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis
  56. Hardware-aligned Hierarchical Sparse Attention for Efficient Long-term Memory Access
  57. Radiometer Calibration using Machine Learning
  58. Towards Explainable AI: Multi-Modal Transformer for Video-based Image Description Generation
  59. MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores
  60. Evaluation Framework for AI Systems in "the Wild"
  61. Advanced Chest X-Ray Analysis via Transformer-Based Image Descriptors and Cross-Model Attention Mechanism
  62. How Effective are Generative Large Language Models in Performing Requirements Classification?
  63. Online model learning with data-assimilated reservoir computers
  64. Noise-Tolerant Coreset-Based Class Incremental Continual Learning
  65. Tri-FusionNet: Enhancing Image Description Generation with Transformer-based Fusion Network and Dual Attention Mechanism
  66. Lightweight Latent Verifiers for Efficient Meta-Generation Strategies
  67. QAOA-PCA: Enhancing Efficiency in the Quantum Approximate Optimization Algorithm via Principal Component Analysis
  68. HEMA : A Hippocampus-Inspired Extended Memory Architecture for Long-Context AI Conversations
  69. Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery
  70. Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
  71. Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction
  72. Implementing AI Bill of Materials (AI BOM) with SPDX 3.0: A Comprehensive Guide to Creating AI and Dataset Bill of Materials
  73. Gaussian Splatting is an Effective Data Generator for 3D Object Detection
  74. Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images
  75. MOSAIC: Skill-Centric Manipulation Planning with Physics Simulation
  76. Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology
  77. IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery
  78. Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering
  79. PMG: Progressive Motion Generation via Sparse Anchor Postures Curriculum Learning
  80. A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization
  81. Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
  82. A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis
  83. SemanticSugarBeets: A Multi-Task Framework and Dataset for Inspecting Harvest and Storage Characteristics of Sugar Beets
  84. Provable wavelet-based neural approximation
  85. A Post-trainer's Guide to Multilingual Training Data: Uncovering Cross-lingual Transfer Dynamics
  86. Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach
  87. Representation Learning via Non-Contrastive Mutual Information
  88. A Time Series Dataset of NIR Spectra and RGB and NIR-HSI Images of the Barley Germination Process
  89. WiFi based Human Fall and Activity Recognition using Transformer based Encoder Decoder and Graph Neural Networks
  90. MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark
  91. SSLR: A Semi-Supervised Learning Method for Isolated Sign Language Recognition
  92. DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization
  93. RouteWinFormer: A Route-Window Transformer for Middle-range Attention in Image Restoration
  94. Dual-Camera All-in-Focus Neural Radiance Fields
  95. TIFIN India at SemEval-2025: Harnessing Translation to Overcome Multilingual IR Challenges in Fact-Checked Claim Retrieval
  96. A Detailed Account of Compositional Automata Learning through Alphabet Refinement
  97. Cognitive Silicon: An Architectural Blueprint for Post-Industrial Computing Systems
  98. EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception
  99. Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections
  100. HUG: Hierarchical Urban Gaussian Splatting with Block-Based Reconstruction for Large-Scale Aerial Scenes
  101. Debunking with Dialogue? Exploring AI-Generated Counterspeech to Challenge Conspiracy Theories
  102. Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: A Pilot Study
  103. Leveraging Noisy Manual Labels as Useful Information: An Information Fusion Approach for Enhanced Variable Selection in Penalized Logistic Regression
  104. Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code
  105. MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
  106. PsyCounAssist: A Full-Cycle AI-Powered Psychological Counseling Assistant System
  107. CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones
  108. SAIP-Net: Enhancing Remote Sensing Image Segmentation via Spectral Adaptive Information Propagation
  109. A Vision for AI-Driven Adaptation of Dynamic AR Content to Users and Environments
  110. Synergistic Benefits of Joint Molecule Generation and Property Prediction
  111. Beyond Anonymization: Object Scrubbing for Privacy-Preserving 2D and 3D Vision Tasks
  112. Confidence Sequences for Generalized Linear Models via Regret Analysis
  113. Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations
  114. Exploring human-SAV interaction using LLMs: The impact of psychological factors on user experience
  115. ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration
  116. Streetscape Analysis with Generative AI (SAGAI): Vision-Language Assessment and Mapping of Urban Scenes
  117. Transformers for Complex Query Answering over Knowledge Hypergraphs
  118. A Few-Shot Metric Learning Method with Dual-Channel Attention for Cross-Modal Same-Neuron Identification
  119. Think Hierarchically, Act Dynamically: Hierarchical Multi-modal Fusion and Reasoning for Vision-and-Language Navigation
  120. Federated Learning of Low-Rank One-Shot Image Detection Models in Edge Devices with Scalable Accuracy and Compute Complexity
  121. QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining
  122. Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression
  123. Dynamic Time-aware Continual User Representation Learning
  124. PRaDA: Projective Radial Distortion Averaging
  125. Breaking scaling relations with inverse catalysts: a machine learning exploration of trends in CO2 hydrogenation energy barriers
  126. Rethinking Generalizable Infrared Small Target Detection: A Real-scene Benchmark and Cross-view Representation Learning
  127. On Developers' Self-Declaration of AI-Generated Code: An Analysis of Practices
  128. Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation
  129. Harden and Catch for Just-in-Time Assured LLM-Based Software Testing: Open Research Challenges
  130. RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memory
  131. MTSGL: Multi-Task Structure Guided Learning for Robust and Interpretable SAR Aircraft Recognition
  132. T-VEC: A Telecom-Specific Vectorization Model with Enhanced Semantic Understanding via Deep Triplet Loss Fine-Tuning
  133. Cross Paradigm Representation and Alignment Transformer for Image Deraining
  134. The Dynamics of Generalization in Deep Learning
  135. From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories
  136. EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records
  137. Node Assigned physics-informed neural networks for thermal-hydraulic system simulation: CVH/FL module
  138. Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Any Convex Parametric Shapes
  139. iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
  140. MAGIC: Near-Optimal Data Attribution for Deep Learning
  141. Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
  142. PixelWeb: The First Web GUI Dataset with Pixel-Wise Labels
  143. FeedQUAC: Quick Unobtrusive AI-Generated Commentary
  144. Out-of-the-Box Conditional Text Embeddings from Large Language Models
  145. Direct Video-Based Spatiotemporal Deep Learning for Cattle Lameness Detection
  146. Compass: SLO-aware Query Planner for Compound AI Serving at Scale
  147. ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs
  148. SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields
  149. Follow the MEP: Scalable Neural Representations for Minimum-Energy Path Discovery in Molecular Systems
  150. Cyberoception: Finding a Painlessly-Measurable New Sense in the Cyberworld Towards Emotion-Awareness in Computing
  151. The Safety-Privacy Tradeoff in Linear Bandits
  152. Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection
  153. CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning
  154. Almost Right: Making First-Layer Kernels Nearly Orthogonal Improves Model Generalization
  155. Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
  156. Text-to-TrajVis: Enabling Trajectory Data Visualizations from Natural Language Questions
  157. DP2FL: Dual Prompt Personalized Federated Learning in Foundation Models
  158. Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees
  159. Property-Preserving Hashing for ℓ1-Distance Predicates: Applications to Countering Adversarial Input Attacks
  160. Transformer-Based Extraction of Statutory Definitions from the U.S. Code
  161. Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios
  162. QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits
  163. Mining Software Repositories for Expert Recommendation
  164. Deep Neural Network Emulation of the Quantum-Classical Transition via Learned Wigner Function Dynamics
  165. Can Code Language Models Learn Clarification-Seeking Behaviors?