mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 25 Jun 2025

297 papers

  1. RedCoder: Automated Multi-Turn Red Teaming for Code LLMsLLM safety and security → Prompt injection and agent security
  2. Thinking Like a Scientist: Can Interactive Simulations Foster Critical AI Literacy?LLM reasoning → Reasoning benchmarks and evaluation
  3. Unraveling the Potential of Diffusion Models in Small Molecule GenerationDiffusion models → Flow matching, time series and science
  4. DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning ObjectiveKnowledge distillation → Speech and audio distillation
  5. Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset DistillationLLM reasoning → Prompting and chain-of-thought reasoning
  6. VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
  7. SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt LearningLLM safety and security → Federated unlearning and poisoning
  8. OR-VSKC: Resolving Visual-Semantic Knowledge Conflicts in Operating Rooms with Synthetic Data-Guided AlignmentMultimodal LLMs / vision-language models → Medical vision-language models +1
  9. DriveBLIP2: Attention-Guided Explanation Generation for Complex Driving ScenariosMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  10. R1-Ranker: Teaching LLM Rankers to ReasonLLM reasoning → Knowledge- and tool-augmented reasoning
  11. On the Necessity of Output Distribution Reweighting for Effective Class UnlearningLLM safety and security → Machine unlearning
  12. Complex Model Transformations by Reinforcement Learning with Uncertain Human GuidanceDeep reinforcement learning methods → RL for robot locomotion and manipulation
  13. Engineering RAG Systems for Real-World Applications: Design, Development, and EvaluationRetrieval-augmented generation → RAG pipeline design and evaluation
  14. Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRALLM safety and security → Machine unlearning
  15. Multi-Objective Reinforcement Learning for Cognitive Radar Resource ManagementDeep reinforcement learning methods → RL for robot navigation and UAV control
  16. Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment +1
  17. MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question AnsweringRetrieval-augmented generation → Legal and financial RAG
  18. RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in RecommendationRetrieval-augmented generation → Multimodal RAG
  19. Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based AnalysisLLM agents and tool use → Agent threats, guardrails and governance
  20. Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative ModelsDiffusion models → Flow matching, time series and science
  21. StereoDiff: Stereo-Diffusion Synergy for Video Depth EstimationDiffusion models → 3D, point cloud and scene generation
  22. A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and ToolsLLM agents and tool use → Medical and scientific domain agents
  23. MAGPIE: A dataset for Multi-AGent contextual PrIvacy EvaluationLLM agents and tool use → Agent threats, guardrails and governance
  24. Test-time Scaling Techniques in Theoretical Physics -- A Comparison of Methods on the TPBench DatasetLLM reasoning → Spatial and embodied reasoning
  25. On Convolutions, Intrinsic Dimension, and Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  26. Diffusion Tree Sampling: Scalable inference-time alignment of diffusion modelsDiffusion models → Diffusion foundations and sampling
  27. MMSearch-R1: Incentivizing LMMs to SearchMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  28. DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics
  29. The Decrypto Benchmark for Multi-Agent Reasoning and Theory of MindLLM reasoning → Reasoning for agents, planning and code +1
  30. π-CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  31. Telegrapher's Generative Model via Kac FlowsDiffusion models → Diffusion foundations and sampling
  32. CoMind: Towards Community-Driven Agents for Machine Learning EngineeringLLM agents and tool use → Web, search, and research agents
  33. DiffuCoder: Understanding and Improving Masked Diffusion Models for Code GenerationDiffusion models → Discrete and text diffusion
  34. Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or HarmLLM agents and tool use → General LLM agent frameworks and benchmarks
  35. Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production ChallengesLLM agents and tool use → Medical and scientific domain agents
  36. HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot InteractionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  37. Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative ControlDeep reinforcement learning methods → RL for energy, networks and operations
  38. Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social NetworksDiffusion models → Image generation, text-to-image and editing
  39. When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMsLLM reasoning → Test-time compute and efficient thinking
  40. Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving ScenariosLLM reasoning → Chain-of-thought reasoning for driving +1
  41. Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewardsDeep reinforcement learning methods → RL training of language and agent models
  42. OctoThinker: Mid-training Incentivizes Reinforcement Learning ScalingLLM reasoning → Reinforcement learning for reasoning +1
  43. ReCode: Updating Code API Knowledge with Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  44. HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion SamplingDiffusion models → Diffusion foundations and sampling
  45. Med-Art: Diffusion Transformer for 2D Medical Text-to-Image GenerationDiffusion models → Medical imaging and segmentation
  46. Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable AggregationKnowledge distillation → Federated, robust and private distillation
  47. An Agentic System for Rare Disease Diagnosis with Traceable ReasoningLLM reasoning → Clinical and biomedical applications +1
  48. SV-LLM: An Agentic Approach for SoC Security Verification using Large Language ModelsLLM agents and tool use → Agent threats, guardrails and governance
  49. TAPS: Tool-Augmented Personalisation via Structured TaggingLLM agents and tool use → Tool learning and function calling
  50. Enhanced Robotic Navigation in Deformable Environments using Learning from Demonstration and Dynamic ModulationOffline RL and imitation learning from data → Robot learning from demonstration
  51. CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action RecognitionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  52. Tabular Feature Discovery With Reasoning Type ExplorationLLM reasoning → Knowledge- and tool-augmented reasoning
  53. Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic TrainingLLM reasoning → Multimodal reasoning +2
  54. Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double ExplorationOffline RL and imitation learning from data → Imitation learning methods +1
  55. TDiR: Transformer based Diffusion for Image Restoration TasksDiffusion models → Inverse problems and image restoration
  56. Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag ExplorationsDiffusion models → Diffusion foundations and sampling
  57. Time-series surrogates from energy consumers generated by machine learning approaches for long-term forecasting scenariosDiffusion models → Flow matching, time series and science
  58. Enhancing Large Language Models through Structured ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  59. UniCode2: Cascaded Large-scale Codebooks for Unified Multimodal Understanding and GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  60. Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  61. AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length ControlLLM reasoning → Test-time compute and efficient thinking
  62. Towards Efficient Exemplar Based Image Editing with Multimodal VLMsDiffusion models → Image generation, text-to-image and editing
  63. From 2D to 3D Cognition: A Brief Survey of General World ModelsWorld models → Video-generation world models and simulators
  64. CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG EvaluationRetrieval-augmented generation → RAG pipeline design and evaluation
  65. MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided ConversationsLLM reasoning → Clinical and biomedical applications
  66. From Conversation to Orchestration: HCI Challenges and Opportunities in Interactive Multi-Agentic SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
  67. Bridging Compositional and Distributional Semantics: A Survey on Latent Semantic Geometry via AutoEncoderMechanistic interpretability → SAE features and their applications
  68. SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and LocalizationRetrieval-augmented generation → RAG for code
  69. A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMsLLM reasoning → Spatial and embodied reasoning
  70. Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment
  71. RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems
  72. iLearnRobot: An Interactive Learning-Based Multi-Modal Robot with Continuous Improvement
  73. Machine Learning Experiences: A story of learning AI for use in enterprise software testing that can be used by anyone
  74. Recursive KalmanNet: Analyse des capacit'es de g'en'eralisation d'un r'eseau de neurones r'ecurrent guid'e par un filtre de Kalman
  75. Advances in Intelligent Hearing Aids: Deep Learning Approaches to Selective Noise Cancellation
  76. Modeling Urban Food Insecurity with Google Street View Images
  77. Domain Knowledge in Artificial Intelligence: Using Conceptual Modeling to Increase Machine Learning Accuracy and Explainability
  78. PlaceRep: Geospatial Place Representation Learning from Large-Scale Point-of-Interest Data
  79. Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction
  80. ChatGPT is not A Man but Das Man: Representativeness and Structural Consistency of Silicon Samples Generated by Large Language Models
  81. Echo State Transformer: Attention Over Finite Memories
  82. Efficient Certified Reasoning for Binarized Neural Networks
  83. Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learning
  84. OAK -- Onboarding with Actionable Knowledge
  85. Toward Cyclic A.I. Modelling of Self-Regulated Learning: A Case Study with E-Learning Trace Data
  86. Deep Graph Learning for Industrial Carbon Emission Analysis and Policy Impact
  87. Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations
  88. Forecasting Labor Markets with LSTNet: A Multi-Scale Deep Learning Approach
  89. 3W Dataset 2.0.0: a realistic and public dataset with rare undesirable real events in oil wells
  90. Variational Digital Twins
  91. Real-Time Guidewire Tip Tracking Using a Siamese Network for Image-Guided Endovascular Procedures
  92. SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network
  93. WaRA: Wavelet Low-Rank Adaptation for Medical Image Classification
  94. Weakly Supervised Object Segmentation by Background Conditional Divergence
  95. Patch2Loc: Learning to Localize Patches for Unsupervised Brain Lesion Detection
  96. What Makes a Dribble Successful? Insights From 3D Pose Tracking Data
  97. Stabilization of industrial processes with time series machine learning
  98. How Can Multimodal Remote Sensing Datasets Transform Classification via SpatialNet-ViT?
  99. Scalable Dynamic Origin-Destination Demand Estimation Enhanced by High-Resolution Satellite Imagery Data
  100. ViFusionTST: Deep Fusion of Time-Series Image Representations from Load Signals for Early Bed-Exit Prediction
All 297
  1. Peer Review as Structured Commentary: Immutable Identity, Public Dialogue, and Reproducible Scholarship
  2. Mitigating Gambling-Like Risk-Taking Behaviors in Large Language Models: A Behavioral Economics Approach to AI Safety
  3. Masked Autoencoders that Feel the Heart: Unveiling Simplicity Bias for ECG Analyses
  4. AeroLite-MDNet: Lightweight Multi-task Deviation Detection Network for UAV Landing
  5. Omniwise: Predicting GPU Kernels Performance with LLMs
  6. MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans
  7. THIRDEYE: Cue-Aware Monocular Depth Estimation via Brain-Inspired Multi-Stage Fusion
  8. Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine
  9. 3DGH: 3D Head Generation with Composable Hair and Face
  10. Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
  11. Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation
  12. Generating Reliable Adverse event Profiles for Health through Automated Integrated Data (GRAPH-AID): A Semi-Automated Ontology Building Approach
  13. Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision
  14. Learning-Based Resource Management in Integrated Sensing and Communication Systems
  15. The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers
  16. FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization
  17. Uncertainty-Aware Machine-Learning Framework for Predicting Dislocation Plasticity and Stress-Strain Response in FCC Alloys
  18. Efficacy of Temporal Fusion Transformers for Runoff Simulation
  19. Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes
  20. Demystifying Distributed Training of Graph Neural Networks for Link Prediction
  21. Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers
  22. Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications
  23. Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning
  24. Model-Based Real-Time Pose and Sag Estimation of Overhead Power Lines Using LiDAR for Drone Inspection
  25. FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs
  26. GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization
  27. The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas
  28. Structural System Identification via Validation and Adaptation
  29. How do Foundation Models Compare to Skeleton-Based Approaches for Gesture Recognition in Human-Robot Interaction?
  30. Multi-lingual Functional Evaluation for Large Language Models
  31. Stochastic Parameter Decomposition
  32. AI-Driven MRI-based Brain Tumour Segmentation Benchmarking
  33. Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing
  34. Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon
  35. Control and optimization for Neural Partial Differential Equations in Supervised Learning
  36. Agile Management for Machine Learning: A Systematic Mapping Study
  37. Latent-space Field Tension for Astrophysical Component Detection An application to X-ray imaging
  38. ConViTac: Aligning Visual-Tactile Fusion with Contrastive Representations
  39. Characterization and Mitigation of Training Instabilities in Microscaling Formats
  40. Exploring the Effects of Chatbot Anthropomorphism and Human Empathy on Human Prosocial Behavior Toward Chatbots
  41. Towards Probabilistic Question Answering Over Tabular Data
  42. Dynamic Weight Grafting: Localizing Finetuned Factual Knowledge in Transformers
  43. OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport
  44. Generative Blocks World: Moving Things Around in Pictures
  45. The Singapore Consensus on Global AI Safety Research Priorities
  46. Structural Decoupling: A Scaffold-Flow Theory of Generalization and Alignment
  47. scMamba: A Scalable Foundation Model for Single-Cell Multi-Omics Integration Beyond Highly Variable Feature Selection
  48. IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation
  49. Evaluating PDE discovery methods for multiscale modeling of biological signals
  50. E-ABIN: an Explainable module for Anomaly detection in BIological Networks
  51. U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs
  52. IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
  53. Cognitive models can reveal interpretable value trade-offs in language models
  54. EditP23: 3D Editing via Propagation of Image Prompts to Multi-View
  55. Hear No Evil: Detecting Gradient Leakage by Malicious Servers in Federated Learning
  56. Mastering Multiple-Expert Routing: Realizable H-Consistency and Strong Guarantees for Learning to Defer
  57. Disentangled representations of microscopy images
  58. Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices
  59. Joint attitude estimation and 3D neural reconstruction of non-cooperative space objects
  60. First-order methods for stochastic and finite-sum convex optimization with deterministic constraints
  61. PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models
  62. Lost in Retraining: Roaming the Parameter Space of Exponential Families Under Closed-Loop Learning
  63. Define-ML: An Approach to Ideate Machine Learning-Enabled Systems
  64. Shape2Animal: Creative Animal Generation from Natural Silhouettes
  65. Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation
  66. Deciphering GunType Hierarchy through Acoustic Analysis of Gunshot Recordings
  67. AI Assistants to Enhance and Exploit the PETSc Knowledge Base
  68. H-FEX: A Symbolic Learning Method for Hamiltonian Systems
  69. Video Perception Models for 3D Scene Synthesis
  70. CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Video
  71. SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection
  72. AI in the Writing Process: How Purposeful AI Support Fosters Student Writing
  73. WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration
  74. TRIM: A Self-Supervised Video Summarization Framework Maximizing Temporal Relative Information and Representativeness
  75. Learning-Based Distance Estimation for 360deg Single-Sensor Setups
  76. The kernel of graph indices for vector search
  77. Dense Video Captioning using Graph-based Sentence Summarization
  78. Causal Representation Learning with Observational Grouping for CXR Classification
  79. Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS
  80. Exploring Graph-Transformer Out-of-Distribution Generalization Abilities
  81. Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series
  82. LARP: Learner-Agnostic Robust Data Prefiltering
  83. Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization
  84. AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation
  85. DeepQuark: A Deep-Neural-Network Approach to Multiquark Bound States
  86. Large Language Model-Driven Code Compliance Checking in Building Information Modeling
  87. Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
  88. Demonstration of effective UCB-based routing in skill-based queues on real-world data
  89. Physics-Informed Machine Learning Regulated by Finite Element Analysis for Simulation Acceleration of Melt Pool Dynamics in Laser Powder Bed Fusion
  90. AIMeter: Measuring, Analyzing, and Visualizing Energy and Carbon Footprint of AI Workloads
  91. Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
  92. Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
  93. AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns
  94. WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning
  95. Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorch
  96. Collaborative Batch Size Optimization for Federated Learning
  97. Engineering Sentience
  98. Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
  99. Multimodal Representation Learning and Fusion
  100. Mixtures of Neural Cellular Automata: A Stochastic Framework for Growth Modelling and Self-Organization
  101. Counterfactual Influence as a Distributional Quantity
  102. GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
  103. Knowledge-Aware Diverse Reranking for Cross-Source Question Answering
  104. Time is On My Side: Dynamics of Talk-Time Sharing in Video-chat Conversations
  105. Probing AI Safety with Source Code
  106. A Deep Learning Approach to Identify Rock Bolts in Complex 3D Point Clouds of Underground Mines Captured Using Mobile Laser Scanners
  107. Automatic Demonstration Selection for LLM-based Tabular Data Classification
  108. M'ethode de quadrature pour les PINNs fond'ee th'eoriquement sur la hessienne des r'esiduels
  109. Scalable Subset Selection in Linear Mixed Models
  110. Off-Policy Evaluation and Learning for the Future under Non-Stationarity
  111. Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
  112. Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images
  113. POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes
  114. GymPN: A Library for Decision-Making in Process Management Systems
  115. Smart Ride and Delivery Services with Electric Vehicles: Leveraging Bidirectional Charging for Profit Optimisation
  116. A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management
  117. Paladin-mini: A Compact and Efficient Grounding Model Excelling in Real-World Scenarios
  118. Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual Tracking
  119. TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
  120. InvZW: Invariant Feature Learning via Noise-Adversarial Training for Robust Image Zero-Watermarking
  121. DreamAnywhere: Object-Centric Panoramic 3D Scene Generation
  122. Self-Supervised Graph Learning via Spectral Bootstrapping and Laplacian-Based Augmentations
  123. Towards Interpretable and Efficient Feature Selection in Trajectory Datasets: A Taxonomic Approach
  124. Practical insights on the effect of different encodings, ans"atze and measurements in quantum and hybrid convolutional neural networks
  125. A foundation model with multi-variate parallel attention to generate neuronal activity
  126. DipSVD: Dual-importance Protected SVD for Efficient LLM Compression
  127. Emergent Granger Causality in Neural Networks: Can Prediction Alone Reveal Structure?
  128. Signatures of planets and Galactic subpopulations in solar analogs. Precise chemical abundances with neural networks
  129. A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization
  130. Feature Hallucination for Self-supervised Action Recognition
  131. Recurrent neural network-based robust control systems with regional properties and application to MPC design
  132. EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis
  133. Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
  134. Producer-Fairness in Sequential Bundle Recommendation
  135. From Codicology to Code: A Comparative Study of Transformer and YOLO-based Detectors for Layout Analysis in Historical Documents
  136. Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning
  137. Comparative Analysis of Deep Learning Models for Crop Disease Detection: A Transfer Learning Approach
  138. On the Burstiness of Faces in Set
  139. Radiomic fingerprints for knee MR images assessment
  140. Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding
  141. FundaQ-8: A Clinically-Inspired Scoring Framework for Automated Fundus Image Quality Assessment
  142. OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning
  143. Breaking Spatial Boundaries: Spectral-Domain Registration Guided Hyperspectral and Multispectral Blind Fusion
  144. Distilling A Universal Expert from Clustered Federated Learning
  145. Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
  146. From Ideal to Real: Unified and Data-Efficient Dense Prediction for Real-World Scenarios
  147. Enterprise Large Language Model Evaluation Benchmark
  148. Forensic Study of Paintings Through the Comparison of Fabrics
  149. Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
  150. Why Robots Are Bad at Detecting Their Mistakes: Limitations of Miscommunication Detection in Human-Robot Dialogue
  151. X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis
  152. Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image Classification
  153. Exploration-Exploitation Tradeoff in Universal Lossy Compression
  154. Argumentative Ensembling for Robust Recourse under Model Multiplicity
  155. Generating and Customizing Robotic Arm Trajectories using Neural Networks
  156. A Transformer Based Handwriting Recognition System Jointly Using Online and Offline Features
  157. Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
  158. Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
  159. Language Modeling by Language Models
  160. FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
  161. CBF-AFA: Chunk-Based Multi-SSL Fusion for Automatic Fluency Assessment
  162. Directed Link Prediction using GNN with Local and Global Feature Fusion
  163. Dynamic Bandwidth Allocation for Hybrid Event-RGB Transmission
  164. Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
  165. Affective Priming Score: A Data-Driven Method to Detect Priming in Sequential Datasets
  166. Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn't Help with MT Evaluation
  167. MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
  168. How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?
  169. Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach
  170. DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs
  171. Counterfactual Operator Relevance for PDE Discovery: Screening, Pruning, and Identifiability
  172. Progressive Alignment Degradation Learning for Pansharpening
  173. COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
  174. Towards Scalable and Generalizable Earth Observation Data Mining via Foundation Model Composition
  175. Valid Selection among Conformal Sets
  176. Causal discovery in deterministic discrete LTI-DAE systems
  177. SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs
  178. Do psychic cells generate consciousness?
  179. AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary
  180. Irec: A Metacognitive Scaffolding for Self-Regulated Learning through Just-in-Time Insight Recall: A Conceptual Framework and System Prototype
  181. Loss-Aware Automatic Selection of Structured Pruning Criteria for Deep Neural Network Acceleration
  182. EAR: Erasing Concepts from Unified Autoregressive Models
  183. Accept More, Reject Less: Reducing up to 19% Unnecessary Desk-Rejections over 11 Years of ICLR Data
  184. Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis
  185. High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation Data
  186. AI Copilots for Reproducibility in Science: A Case Study
  187. Leveraging AI Graders for Missing Score Imputation to Achieve Accurate Ability Estimation in Constructed-Response Tests
  188. Extracting Interpretable Models from Tree Ensembles: Computational and Statistical Perspectives
  189. A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
  190. BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos
  191. Autonomous Cyber Resilience via a Co-Evolutionary Arms Race within a Fortified Digital Twin Sandbox
  192. PSALM-V: Automating Symbolic Planning in Interactive Visual Environments with Large Language Models
  193. MEL: Multi-level Ensemble Learning for Resource-Constrained Environments
  194. ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
  195. A Survey of Predictive Maintenance Methods: An Analysis of Prognostics via Classification and Regression
  196. Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks
  197. Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision