AI Research News Feeds for October 8th, 2025

AI RESEARCH PAPERS & ACADEMIC SOURCES

• MASRAD: Arabic Terminology Management Corpora with Semi-Automatic Construction
• Self-Routing RAG: Binding Selective Retrieval with Knowledge Verbalization
• SAFER: Advancing Safety Alignment via Efficient Ex-Ante Reasoning
• Measuring LLM Novelty As The Frontier Of Original And High-Quality Output
• What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts
• FAID: Fine-Grained AI-Generated Text Detection Using Multi-Task Auxiliary and Multi-Level Contrastive Learning
• Teaching Small Language Models to Learn Logic through Meta-Learning
• Unifying Inference-Time Planning Language Generation
• Tracing Multilingual Factual Knowledge Acquisition in Pretraining
• AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
• ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists
• When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
• Language Models Surface the Unwritten Code of Science and Society
• Collaborative and Proactive Management of Task-Oriented Conversations
• Submodular Context Partitioning and Compression for In-Context Learning-short paper
• Characterizing Model Behavior Under Synthetic Data Training: An Empirical Study Across Scales and Mixing Ratios
• Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metrics
• LiRA: A Multi-Agent Framework for Reliable and Readable Literature Review Generation
• NLD-LLM: A systematic framework for evaluating small language transformer models on natural language description
• To model human linguistic prediction, make LLMs less superhuman
• Reliable End-to-End Material Information Extraction from the Literature with Source-Tracked Multi-Stage Large Language Models
• Can AI Truly Represent Your Voice in Deliberations? A Comprehensive Study of Large-Scale Opinion Aggregation with LLMs
• Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages
• WeatherArchive-Bench: Benchmarking Retrieval-Augmented Reasoning for Historical Weather Archives
• Residualized Similarity for Faithfully Explainable Authorship Verification
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation
• A Lightweight Large Language Model-Based Multi-Agent System for 2D Frame Structural Analysis
• Self-Filtered Distillation with LLMs-generated Trust Indicators for Reliable Patent Classification
• SimulatorArena: Are User Simulators Reliable Proxies for Multi-Turn Evaluation of AI Assistants?
• AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
• SocialNLI: A Dialogue-Centric Social Inference Dataset
• Language Model as Planner and Formalizer under Constraints
• Prototype-Based Dynamic Steering for Large Language Models
• On the Role of Difficult Prompts in Self-Play Preference Optimization
• Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations
• Mission Impossible: Feedback-Guided Dynamic Interactive Planning for Improving Reasoning on LLMs
• A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks
• DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision
• Adaptive and Multi-Source Entity Matching for Name Standardization of Astronomical Observation Facilities
• Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
• Mixture of Neuron Experts
• EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget
• Luth: Efficient French Specialization for Small Language Models and Cross-Lingual Transfer
• Automated Boilerplate: Prevalence and Quality of Contract Generators in the Context of Swiss Privacy Policies
• Evaluating the Sensitivity of LLMs to Harmful Contents in Long Input
• The fragility of "cultural tendencies" in LLMs
• Hire Your Anthropologist! Rethinking Culture Benchmarks Through an Anthropological Lens
• Exploring Gaps in the APS: Direct Minimal Pair Analysis in LLM Syntactic Assessments
• MASA: Rethinking the Representational Bottleneck in LoRA with Multi-A Shared Adaptation
• Evaluating The Impact of Stimulus Quality in Investigations of LLM Language Performance
• ASPO: Asymmetric Importance Sampling Policy Optimization
• The Valley of Code Reasoning: Scaling Knowledge Distillation of Large Language Models
• Parallel Tokenizers: Rethinking Vocabulary Design for Cross-Lingual Transfer
• RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
• VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization
• Mixing Mechanisms: How Language Models Retrieve Bound Entities In-Context
• WaveSP-Net: Learnable Wavelet-Domain Sparse Prompt Tuning for Speech Deepfake Detection
• Quantum Concept Music Score from Quantum Picturalism: Musical Incarnation of a Bell-Pair under Measurements
• Sci-Phi: A Large Language Model Spatial Audio Descriptor
• SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models
• HEALTH-PARIKSHA: Assessing RAG Models for Health Chatbots in Real-World Multilingual Settings
• Explaining GPTs' Schema of Depression: A Machine Behavior Analysis
• Evaluating and Mitigating Social Bias for Large Language Models in Open-ended Settings
• On Relation-Specific Neurons in Large Language Models
• Evaluating the Effect of Retrieval Augmentation on Social Biases
• Deforming Videos to Masks: Flow Matching for Referring Video Segmentation
• ShapeGen4D: Towards High Quality 4D Shape Generation from Videos
• Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models
• Fine-grained Defocus Blur Control for Generative Image Models
• Human3R: Everyone Everywhere All at Once
• Advancing Automated Spatio-Semantic Analysis in Picture Description Using Language Models
• nnSAM2: nnUNet-Enhanced One-Prompt SAM2 for Few-shot Multi-Modality Segmentation and Composition Analysis of Lumbar Paraspinal Muscles
• Leveraging Vision Transformers for Enhanced Classification of Emotions using ECG Signals
• Towards Robust and Realible Multimodal Fake News Detection with Incomplete Modality
• A Warm-basis Method for Bridging Learning and Iteration: a Case Study in Fluorescence Molecular Tomography
• Overlap-aware segmentation for topological reconstruction of obscured objects
• A discussion about violin reduction: geometric analysis of contour lines and channel of minima
• Background Semantics Matter: Cross-Task Feature Exchange Network for Clustered Infrared Small Target Detection
• Imagining the Unseen: Generative Location Modeling for Object Placement
• LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation
• Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
• Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising
• Tables Guide Vision: Learning to See the Heart through Tabular Data
• LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders
• AuxDet: Auxiliary Metadata Matters for Omni-Domain Infrared Small Target Detection
• Leveraging Foundation Models for Multimodal Graph-Based Action Recognition
• VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval
• Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting
• When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding
• Low-Rank Tensor Recovery via Variational Schatten-p Quasi-Norm and Jacobian Regularization
• Enhancing Fitness Movement Recognition with Attention Mechanism and Pre-Trained Feature Extractors
• High-pass filtered fidelity-imposed network edit (HP-FINE) for robust quantitative susceptibility mapping from high-pass filtered phase
• RimSet: Quantitatively Identifying and Characterizing Chronic Active Multiple Sclerosis Lesion on Quantitative Susceptibility Maps
• SAMCIRT: A Simultaneous Reconstruction and Affine Motion Compensation Technique for Four Dimensional Computed Tomography (4DCT)
• Trajectory Prediction Meets Large Language Models: A Survey
• ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge
• Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
• SkinMap: Weighted Full-Body Skin Segmentation for Robust Remote Photoplethysmography
• Fine-Tuned CNN-Based Approach for Multi-Class Mango Leaf Disease Detection
• Personalizing Retrieval using Joint Embeddings or "the Return of Fluffy"
• ArchitectHead: Continuous Level of Detail Control for 3D Gaussian Head Avatars
• Human Action Recognition from Point Clouds over Time
• Be Tangential to Manifold: Discovering Riemannian Metric for Diffusion Models
• HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
• CalibCLIP: Contextual Calibration of Dominant Semantics for Text-Driven Image Retrieval
• Efficient Conditional Generation on Scale-based Visual Autoregressive Models
• TFM Dataset: A Novel Multi-task Dataset and Integrated Pipeline for Automated Tear Film Break-Up Segmentation
• Combined Hyperbolic and Euclidean Soft Triple Loss Beyond the Single Space Deep Metric Learning
• EduVerse: A User-Defined Multi-Agent Simulation Space for Education Scenario
• SD-MVSum: Script-Driven Multimodal Video Summarization Method and Datasets
• A Hierarchical Geometry-guided Transformer for Histological Subtyping of Primary Liver Cancer
• Teleportraits: Training-Free People Insertion into Any Scene
• When and How to Cut Classical Concerts? A Multimodal Automated Video Editing Approach
• Development and Validation of a Low-Cost Imaging System for Seedling Germination Kinetics through Time-Cumulative Analysis
• Context Matters: Learning Global Semantics for Visual Reasoning and Comprehension
• AgeBooth: Controllable Facial Aging and Rejuvenation via Diffusion Models
• Data Factory with Minimal Human Effort Using VLMs
• ALISE: Annotation-Free LiDAR Instance Segmentation for Autonomous Driving
• OneVision: An End-to-End Generative Framework for Multi-view E-commerce Vision Search
• A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data
• Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
• Rasterized Steered Mixture of Experts for Efficient 2D Image Regression
• Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow
• acia-workflows: Automated Single-cell Imaging Analysis for Scalable and Deep Learning-based Live-cell Imaging Analysis Workflows
• BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data
• Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning
• Shaken or Stirred? An Analysis of MetaFormer's Token Mixing for Medical Imaging
• A Dynamic Mode Decomposition Approach to Morphological Component Analysis
• Diffusion-Based Image Editing for Breaking Robust Watermarks
• Continual Learning for Image Captioning through Improved Image-Text Alignment
• Universal Neural Architecture Space: Covering ConvNets, Transformers and Everything in Between
• There is More to Attention: Statistical Filtering Enhances Explanations in Vision Transformers
• Compact Multi-level-prior Tensor Representation for Hyperspectral Image Super-resolution
• Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction
• Towards Data-Efficient Medical Imaging: A Generative and Semi-Supervised Framework
• ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics
• The Method of Infinite Descent
• NorMuon: Making Muon more efficient and scalable
• Fundamental Limits of Crystalline Equivariant Graph Neural Networks: A Circuit Complexity Perspective
• EEG-Based Acute Pain Classification: Machine Learning Model Comparison and Real-Time Clinical Feasibility
• NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information
• Transfer Learning on Edge Connecting Probability Estimation under Graphon Model
• ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
• LATTA: Langevin-Anchored Test-Time Adaptation for Enhanced Robustness and Stability
• Efficient Learning-based Graph Simulation for Temporal Graphs
• (Token-Level) \textbf{InfoRMIA}: Stronger Membership Inference and Memorization Assessment for LLMs
• When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
• Riddled basin geometry sets fundamental limits to predictability and reproducibility in deep learning
• NEO: No-Optimization Test-Time Adaptation through Latent Re-Centering
• Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
• Primal-Dual Direct Preference Optimization for Constrained LLM Alignment
• DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities
• Neighborhood-Adaptive Generalized Linear Graph Embedding with Latent Pattern Mining
• Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
• Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
• Multimodal Trajectory Representation Learning for Travel Time Estimation
• How to model Human Actions distribution with Event Sequence Data
• MaNGO - Adaptable Graph Network Simulators via Meta-Learning
• OBSR: Open Benchmark for Spatial Representations
• Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs
• Uncertainty in Machine Learning
• RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics
• BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining
• Edit-Based Flow Matching for Temporal Point Processes
• Analyzing the Effect of Embedding Norms and Singular Values to Oversmoothing in Graph Neural Networks
• Learning from Failures: Understanding LLM Alignment through Failure-Aware Inverse RL
• The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives
• Influence Functions for Efficient Data Selection in Reasoning
• Downsized and Compromised?: Assessing the Faithfulness of Model Compression
• lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models
• Improved High-probability Convergence Guarantees of Decentralized SGD
• TabPFN-Wide: Continued Pre-Training for Extreme Feature Counts
• Thermodynamic Performance Limits for Score-Based Diffusion Models
• On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond
• Training Dynamics Impact Post-Training Quantization Robustness
• Synthetic History: Evaluating Visual Representations of the Past in Diffusion Models
• Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation
• Automated Alignment of Math Items to Content Standards in Large-Scale Assessments Using Language Models
• Curiosity-Driven LLM-as-a-judge for Personalized Creative Judgment
• Exploring Large Language Models for Financial Applications: Techniques, Performance, and Challenges with FinMA
• Adapting HFMCA to Graph Data: Self-Supervised Learning for Generalizable fMRI Representations
• Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving
• Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning
• Mitigating Diffusion Model Hallucinations with Dynamic Guidance
• LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation
• Aligning Language Models with Clinical Expertise: DPO for Heart Failure Nursing Documentation in Critical Care
• TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation
• H1B-KV: Hybrid One-Bit Caches for Memory-Efficient Large Language Model Inference
• Efficient learning of bosonic Gaussian unitaries
• Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM
• Channel Simulation and Distributed Compression with Ensemble Rejection Sampling
• Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
• InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment
• From Principles to Practice: A Systematic Study of LLM Serving on Multi-core NPUs
• Transcribing Rhythmic Patterns of the Guitar Track in Polyphonic Music
• M\"obius transforms and Shapley values for vector-valued functions on weighted directed acyclic multigraphs
• StereoSync: Spatially-Aware Stereo Audio Generation from Video
• FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders
• Prompt reinforcing for long-term planning of large language models
• EARL: Efficient Agentic Reinforcement Learning Systems for Large Language Models
• Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches
• Medical Vision Language Models as Policies for Robotic Surgery
• EmoHRNet: High-Resolution Neural Network Based Speech Emotion Recognition
• Non-iid hypothesis testing: from classical to quantum
• Differentiable Model Predictive Control on the GPU
• Climate Model Tuning with Online Synchronization-Based Parameter Estimation
• Modulation Discovery with Differentiable Digital Signal Processing
• Solar Irradiation Forecasting using Genetic Algorithms
• Nonlinear Filtering with Brenier Optimal Transport Maps
• A Universal Metric of Dataset Similarity for Cross-silo Federated Learning
• Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing
• Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
• Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement
• EntryPrune: Neural Network Feature Selection using First Impressions
• DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning
• The Logical Implication Steering Method for Conditional Interventions on Transformer Generation
• Unifying Autoregressive and Diffusion-Based Sequence Generation
• A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
• Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
• DeepBoost-AF: A Novel Unsupervised Feature Learning and Gradient Boosting Fusion for Robust Atrial Fibrillation Detection in Raw ECG Signals
• Generalizing Supervised Contrastive learning: A Projection Perspective
• Robust-Multi-Task Gradient Boosting
• Attribute Fusion-based Classifier on Framework of Belief Structure
• Fast Policy Learning for Linear Quadratic Control with Entropy Regularization
• Geometry-Preserving Encoder/Decoder in Latent Generative Models
• Strong bounds for large-scale Minimum Sum-of-Squares Clustering
• MatLLMSearch: Crystal Structure Discovery with Evolution-Guided Large Language Models
• A weakly-supervised deep learning model for fast localisation and delineation of the skeleton, internal organs, and spinal canal on Whole-Body Diffusion-Weighted MRI (WB-DWI)
• SAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature Selection
• Conditional Local Independence Testing for It\^o processes with Applications to Dynamic Causal Discovery
• Context Biasing for Pronunciations-Orthography Mismatch in Automatic Speech Recognition
• Step-by-Step Video-to-Audio Synthesis via Negative Audio Guidance
• Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19
• Multilingual Dataset Integration Strategies for Robust Audio Deepfake Detection: A SAFE Challenge System
• CDTP: A Large-Scale Chinese Data-Text Pair Dataset for Comprehensive Evaluation of Chinese LLMs
• VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization
• GLVD: Guided Learned Vertex Descent
• Controllable Audio-Visual Viewpoint Generation from 360{\deg} Spatial Information
• Reasoning under Vision: Understanding Visual-Spatial Cognition in Vision-Language Models for CAPTCHA
• When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
• Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
• A public cardiac CT dataset featuring the left atrial appendage
• Distributional Semantics Tracing: A Framework for Explaining Hallucinations in Large Language Models
• Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation
• CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credits
• Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks
• Bimanual 3D Hand Motion and Articulation Forecasting in Everyday Images
• Smartphone-based iris recognition through high-quality visible-spectrum iris image capture.V2
• RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback
• Automated Program Repair of Uncompilable Student Code
• BanglaTalk: Towards Real-Time Speech Assistance for Bengali Regional Dialects
• Latent Speech-Text Transformer
• StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars
• TokenChain: A Discrete Speech Chain via Semantic Token Modeling
• Reference Grounded Skill Discovery
• Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
• EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark
• Fine-Grained and Thematic Evaluation of LLMs in Social Deduction Game
• Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training
• Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Case Study on BERT-based Language Models
• Applications of Large Models in Medicine
• Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
• SciSciGPT: Advancing Human-AI Collaboration in the Science of Science
• FLEx: Personalized Federated Learning for Mixture-of-Experts LLMs via Expert Grafting
• RepIt: Representing Isolated Targets to Steer Language Models
• From paintbrush to pixel: A review of deep neural networks in AI-generated art
• Generative transformations and patterns in LLM-native approaches for software verification and falsification
• A Generative Approach to Credit Prediction with Learnable Prompts for Multi-scale Temporal Representation Learning
• Artificial intelligence for context-aware visual change detection in software test automation
• An Investigation of Incorporating Mamba for Speech Enhancement
• Robustness of Large Language Models to Perturbations in Text
• How Reliable are Causal Probing Interventions?
• Interpretable Clustering: A Survey
• A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond
• BanglaLlama: LLaMA for Bangla Language
• BenchAgents: Multi-Agent Systems for Structured Benchmark Creation
• QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization
• HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
• PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization
• Geometry-Guided Adversarial Prompt Detection via Curvature and Local Intrinsic Dimension
• WildIFEval: Instruction Following in the Wild
• Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing
• A Graph-Based Framework for Interpretable Whole Slide Image Analysis
• Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models
• Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information
• Decentralized Collective World Model for Emergent Communication and Coordination
• MedHal: An Evaluation Dataset for Medical Hallucination Detection
• The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
• Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction
• QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning?
• Can We Ignore Labels In Out of Distribution Detection?
• Deep Reinforcement Learning for Urban Air Quality Management: Multi-Objective Optimization of Pollution Mitigation Booth Placement in Metropolitan Environments
• Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning
• ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding
• Optimal Policy Minimum Bayesian Risk
• An Embarrassingly Simple Defense Against LLM Abliteration Attacks
• From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning
• OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature
• How Malicious AI Swarms Can Threaten Democracy: The Fusion of Agentic AI and LLMs Marks a New Frontier in Information Warfare
• A Fairness-Aware Strategy for B5G Physical-layer Security Leveraging Reconfigurable Intelligent Surfaces
• Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future Directions
• Learning The Minimum Action Distance
• Persona Features Control Emergent Misalignment
• Can Video Large Multimodal Models Think Like Doubters-or Double-Down: A Study on Defeasible Video Entailment
• Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models
• Scattering Transformer: A Training-Free Transformer Architecture for Heart Murmur Detection
• A Fuzzy Logic-Based Framework for Explainable Machine Learning in Big Data Analytics
• Auditing Algorithmic Bias in Transformer-Based Trading
• Machine learning for fraud detection in digital banking: a systematic literature review REVIEW
• Discretized Quadratic Integrate-and-Fire Neuron Model for Deep Spiking Neural Networks
• Carbon Emission Prediction in China Considering New Quality Productive Forces Using a Deep & Corss Learning Modeling Framework
• Learning More with Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation with EV Charging Data
• Exact Causal Attention with 10% Fewer Operations
• A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
• Simultaneous Learning and Optimization via Misspecified Saddle Point Problems
• ECLipsE-Gen-Local: Efficient Compositional Local Lipschitz Estimates for Deep Neural Networks
• Decoding Partial Differential Equations: Cross-Modal Adaptation of Decoder-only Models to PDEs
• Gamma Mixture Modeling for Cosine Similarity in Small Language Models
• RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness
• KVLinC : KV Cache Quantization with Hadamard Rotation and Linear Correction
• Physics-Informed Neural Networks with Fourier Features and Attention-Driven Decoding
• A Neural Network Algorithm for KL Divergence Estimation with Quantitative Error Bounds
• Correlating Cross-Iteration Noise for DP-SGD using Model Curvature
• Draft, Verify, and Improve: Toward Training-Aware Speculative Decoding
• MatheMagic: Generating Dynamic Mathematics Benchmarks Robust to Memorization
• ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models
• MixReasoning: Switching Modes to Think
• Scientific Algorithm Discovery by Augmenting AlphaEvolve with Deep Research
• TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
• Constraint-Aware Route Recommendation from Natural Language via Hierarchical LLM Agents
• Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices
• Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification
• Barbarians at the Gate: How AI is Upending Systems Research
• TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
• Tiny but Mighty: A Software-Hardware Co-Design Approach for Efficient Multimodal Inference on Battery-Powered Small Devices
• Trainable Reference-Based Evaluation Metric for Identifying Quality of English-Gujarati Machine Translation System
• Hallucination is Inevitable for LLMs with the Open World Assumption
• CARE: Cognitive-reasoning Augmented Reinforcement for Emotional Support Conversation
• A Scalable AI Driven, IoT Integrated Cognitive Digital Twin for Multi-Modal Neuro-Oncological Prognostics and Tumor Kinetics Prediction using Enhanced Vision Transformer and XAI
• Improving Metacognition and Uncertainty Communication in Language Models
• Artificial Intelligence for Cost-Aware Resource Prediction in Big Data Pipelines
• Rationale-Augmented Retrieval with Constrained LLM Re-Ranking for Task Discovery
• Training Large Language Models To Reason In Parallel With Global Forking Tokens
• Linguistic Characteristics of AI-Generated Text: A Survey
• SynCED-EnDe 2025: A Synthetic and Curated English - German Dataset for Critical Error Detection in Machine Translation
• FlashResearch: Real-time Agent Orchestration for Efficient Deep Research
• Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs
• Percepta: High Performance Stream Processing at the Edge
• Chronological Thinking in Full-Duplex Spoken Dialogue Language Models
• A Single Character can Make or Break Your LLM Evals
• Generative Inverse Design: From Single Point Optimization to a Diverse Design Portfolio via Conditional Variational Autoencoders
• Artificial-Intelligence Grading Assistance for Handwritten Components of a Calculus Exam
• SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading
• Emergent Coordination in Multi-Agent Language Models
• PatternKV: Flattening KV Representation Expands Quantization Headroom
• Logistic-Gated Operators Enable Auditable Unit-Aware Thresholds in Symbolic Regression
• OptPipe: Memory- and Scheduling-Optimized Pipeline Parallelism for LLM Training
• A novel hallucination classification framework
• Provable Speech Attributes Conversion via Latent Independence
• Approximate Gaussianity Beyond Initialisation in Neural Networks
• CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
• Adjusting the Output of Decision Transformer with Action Gradient
• AUREXA-SE: Audio-Visual Unified Representation Exchange Architecture with Cross-Attention and Squeezeformer for Speech Enhancement
• RAG Makes Guardrails Unsafe? Investigating Robustness of Guardrails under RAG-style Contexts
• DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology
• Dynamic Functional Connectivity Features for Brain State Classification: Insights from the Human Connectome Project
• DeepV: A Model-Agnostic Retrieval-Augmented Framework for Verilog Code Generation with a High-Quality Knowledge Base
• Margin Adaptive DPO: Leveraging Reward Model for Granular Control in Preference Optimization
• Physics-informed Attention-enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations
• MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
• Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
• Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating
• Comparing LSTM-Based Sequence-to-Sequence Forecasting Strategies for 24-Hour Solar Proton Flux Profiles Using GOES Data
• See the past: Time-Reversed Scene Reconstruction from Thermal Traces Using Visual Language Models
• Physics-Informed Machine Learning in Biomedical Science and Engineering
• UnitTenX: Generating Tests for Legacy Packages with AI Agents Powered by Formal Verification
• Adversarial Reinforcement Learning for Large Language Model Agent Safety
• QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification
• AMAQ: Adaptive Mixed-bit Activation Quantization for Collaborative Parameter Efficient Fine-tuning
• LANTERN: Scalable Distillation of Large Language Models for Job-Person Fit and Explanation
• High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training
• Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting
• CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
• Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment
• Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
• Seeing the Big Picture: Evaluating Multimodal LLMs' Ability to Interpret and Grade Handwritten Student Work
• Critical attention scaling in long-context transformers
• Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection
• Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
• Improving Chain-of-Thought Efficiency for Autoregressive Image Generation
• HOI-R1: Exploring the Potential of Multimodal Large Language Models for Human-Object Interaction Detection
• MADIAVE: Multi-Agent Debate for Implicit Attribute Value Extraction
• PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
• Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks
• From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
• The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP
• Ocular-Induced Abnormal Head Posture: Diagnosis and Missing Data Imputation
• Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models
• Code-Switching In-Context Learning for Cross-Lingual Transfer of Large Language Models
• QGraphLIME - Explaining Quantum Graph Neural Networks
• vAttention: Verified Sparse Attention
• Sparse deepfake detection promotes better disentanglement
• Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models
• FinReflectKG - EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation
• Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies
• Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect
• Are Heterogeneous Graph Neural Networks Truly Effective? A Causal Perspective
• InforME: Improving Informativeness of Abstractive Text Summarization With Informative Attention Guided by Named Entity Salience
• Mellum: Production-Grade in-IDE Contextual Code Completion with Multi-File Project Understanding
• Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech
• Risk level dependent Minimax Quantile lower bounds for Interactive Statistical Decision Making
• Deformable Image Registration for Self-supervised Cardiac Phase Detection in Multi-View Multi-Disease Cardiac Magnetic Resonance Images
• DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization
• Revisiting Long-context Modeling from Context Denoising Perspective
• Segment-Factorized Full-Song Generation on Symbolic Piano Music
• $\bf{D^3}$QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
• Paying Attention to Hybrid Attention: Untangling the Issues with Conversion Methods
• Kaputt: A Large-Scale Dataset for Visual Defect Detection
• An Attention-Augmented VAE-BiLSTM Framework for Anomaly Detection in 12-Lead ECG Signals
• Carr\'e du champ flow matching: better quality-generalisation tradeoff in generative models
• LLM-FS-Agent: A Deliberative Role-based Large Language Model Architecture for Transparent Feature Selection
• EvalMORAAL: Interpretable Chain-of-Thought and LLM-as-Judge Evaluation for Moral Alignment in Large Language Models
• Probing the Difficulty Perception Mechanism of Large Language Models
• LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language
• Diffusion Models for Low-Light Image Enhancement: A Multi-Perspective Taxonomy and Performance Analysis
• ECTSpeech: Enhancing Efficient Speech Synthesis via Easy Consistency Tuning
• Detection and Measurement of Hailstones with Multimodal Large Language Models
• Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement Context
• Fast Leave-One-Out Approximation from Fragment-Target Prevalence Vectors (molFTP) : From Dummy Masking to Key-LOO for Leakage-Free Feature Construction
• From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-In-The-Loop Reinforcement Learning
• Rule Encoding and Compliance in Large Language Models: An Information-Theoretic Analysis
• Structured Cognition for Behavioral Intelligence in Large Language Model Agents: Preliminary Study
• Optimization Modeling via Semantic Anchored Alignment
• Structuring Reasoning for Complex Rules Beyond Flat Representations
• An Algorithmic Information-Theoretic Perspective on the Symbol Grounding Problem
• Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
• Representation Potentials of Foundation Models for Multimodal Alignment: A Survey
• Real-time Framework for Interoperable Semantic-driven Internet-of-Things in Smart Agriculture
• Plug-and-Play Dramaturge: A Divide-and-Conquer Approach for Iterative Narrative Script Refinement via Collaborative LLM Agents
• Graph-based LLM over Semi-Structured Population Data for Dynamic Policy Response
• Beyond Monolithic Rewards: A Hybrid and Multi-Aspect Reward Optimization for MLLM Alignment
• BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions
• Biomedical reasoning in action: Multi-agent System for Auditable Biomedical Evidence Synthesis
• MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts
• Teacher-Student Guided Inverse Modeling for Steel Final Hardness Estimation
• AInstein: Assessing the Feasibility of AI-Generated Approaches to Research Problems
• NASP-T: A Fuzzy Neuro-Symbolic Transformer for Logic-Constrained Aviation Safety Report Classification
• Do Code Models Suffer from the Dunning-Kruger Effect?
• VAL-Bench: Measuring Value Alignment in Language Models
• Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
• Decade-long Emission Forecasting with an Ensemble Model in Taiwan
• In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
• From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
• Large Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography
• Joint Communication Scheduling and Velocity Control for Multi-UAV-Assisted Post-Disaster Monitoring: An Attention-Based In-Context Learning Approach
• Syn-Diag: An LLM-based Synergistic Framework for Generalizable Few-shot Fault Diagnosis on the Edge
• Artificially intelligent agents in the social and behavioral sciences: A history and outlook
• ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems
• Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport
• Early Multimodal Prediction of Cross-Lingual Meme Virality on Reddit: A Time-Window Analysis
• RareAgent: Self-Evolving Reasoning for Drug Repurposing in Rare Diseases
• ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming
• Towards Label-Free Biological Reasoning Synthetic Dataset Creation via Uncertainty Filtering
• Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies
• Training-Free Time Series Classification via In-Context Reasoning with LLM Agents
• Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD
• Layered, Overlapping, and Inconsistent: A Large-Scale Analysis of the Multiple Privacy Policies and Controls of U.S. Banks
• CAI Fluency: A Framework for Cybersecurity AI Fluency
• A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
• Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks
• Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits
• A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality
• R\'enyi divergence-based uniformity guarantees for $k$-universal hash functions
• A Generative Approach to LLM Harmfulness Mitigation with Red Flag Tokens
• FlowVLA: Visual Chain of Thought-based Motion Reasoning for Vision-Language-Action Models
• mindmap: Spatial Memory in Deep Feature Maps for 3D Action Policies
• BC-ADMM: An Efficient Non-convex Constrained Optimizer with Robotic Applications
• Equivariant Filter for Relative Attitude and Target's Angular Velocity Estimation
• Emergent interactions lead to collective frustration in robotic matter
• CLAd-VR: Cognitive Load-based Adaptive Training for Machining Tasks in Virtual Reality
• Chrysalis: A Unified System for Comparing Active Teaching and Passive Learning with AI Agents in Education
• When Should Users Check? A Decision-Theoretic Model of Confirmation Frequency in Multi-Step AI Agent Tasks
• Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning
• Bloom: Designing for LLM-Augmented Behavior Change Interactions
• Two Modes of Reflection: How Temporal, Spatial, and Social Distances Affect Reflective Writing in Family Caregiving
• Locability: An Ability-Based Ranking Model for Virtual Reality Locomotion Techniques
• Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI
• The Interplay of Attention and Memory in Visual Enumeration
• From "Arbitrary Timberland" To "Skyline Charts": Is Visualization At Risk From The Pollution of Scientific Literature?
• Taxonomy of User Needs and Actions
• Observing Interaction Rather Than Interfaces
• MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation
• What Do You Mean? Exploring How Humans and AI Interact with Symbols and Meanings in Their Interactions
• Evidence of Cognitive Biases in Capture-the-Flag Cybersecurity Competitions
• "Your Doctor is Spying on You": An Analysis of Data Practices in Mobile Healthcare Applications
• Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks
• Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences
• LLMs as Policy-Agnostic Teammates: A Case Study in Human Proxy Design for Heterogeneous Agent Teams
• Exploring the Potential of Conversational AI Support for Agent-Based Social Simulation Model Design
• MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education
• Teamwork: Collaborative Diffusion with Low-rank Coordination and Adaptation
• Submillimeter-Accurate 3D Lumbar Spine Reconstruction from Biplanar X-Ray Images: Incorporating a Multi-Task Network and Landmark-Weighted Loss
• SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
• Scalable In-context Ranking with Generative Models
• Automated Research Article Classification and Recommendation Using NLP and ML
• AgentDR Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents
• Limitations of Current Evaluation Practices for Conversational Recommender Systems and the Potential of User Simulation
• How public datasets constrain the development of diversity-aware news recommender systems, and what law could do about it
• Towards Structured Knowledge: Advancing Triple Extraction from Regional Trade Agreements using Large Language Models
• KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance
• Deterministic Legal Retrieval: An Action API for Querying the SAT-Graph RAG
• Peeking inside the Black-Box: Reinforcement Learning for Explainable and Accurate Relation Extraction
• Soft Reasoning Paths for Knowledge Graph Completion
• Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights
• Text Clustering as Classification with LLMs
• Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
• Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain
• Deep Learning-Based Multi-Factor Authentication: A Survey of Biometric and Smart Card Integration Approaches
• Domain-Adapted Granger Causality for Real-Time Cross-Slice Attack Attribution in 6G Networks
• From Poisoned to Aware: Fostering Backdoor Self-Awareness in LLMs
• SafeGuider: Robust and Practical Content Safety Control for Text-to-Image Models
• Agentic Misalignment: How LLMs Could Be Insider Threats
• Auditing Pay-Per-Token in Large Language Models
• Adapting Insider Risk mitigations for Agentic Misalignment: an empirical study
• Indirect Prompt Injections: Are Firewalls All You Need, or Stronger Benchmarks?
• Constraint-Level Design of zkEVMs: Architectures, Trade-offs, and Evolution
• AutoDAN-Reasoning: Enhancing Strategies Exploration based Jailbreak Attacks with Test-Time Scaling
• A Brief Note on Cryptographic Pseudonyms for Anonymous Credentials
• AutoPentester: An LLM Agent-based Framework for Automated Pentesting
• Membership Inference Attacks on Tokenizers of Large Language Models
• Towards Reliable and Practical LLM Security Evaluations via Bayesian Modelling
• New Insights into Involutory and Orthogonal MDS Matrices
• SBOMproof: Beyond Alleged SBOM Compliance for Supply Chain Security of Container Images
• The Five Safes as a Privacy Context
• Privacy-Preserving On-chain Permissioning for KYC-Compliant Decentralized Applications
• Enhancing Automotive Security with a Hybrid Approach towards Universal Intrusion Detection System
• Fairness in Token Delegation: Mitigating Voting Power Concentration in DAOs
• PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
• AdProv: A Method for Provenance of Process Adaptations
• N-Parties Private Structure and Parameter Learning for Sum-Product Networks
• Optimal Good-Case Latency for Sleepy Consensus
• VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation
• Adversarial Reinforcement Learning for Offensive and Defensive Agents in a Simulated Zero-Sum Network Environment
• OptiFLIDS: Optimized Federated Learning for Energy-Efficient Intrusion Detection in IoT
• Randomness from causally independent processes
• DP-Adam-AC: Privacy-preserving Fine-Tuning of Localizable Language Models Using Adam Optimization with Adaptive Clipping
• On Limits on the Provable Consequences of Quantum Pseudorandomness
• Power Mechanism: Private Tabular Representation Release for Model Agnostic Consumption
• Beyond Spectral Peaks: Interpreting the Cues Behind Synthetic Image Detection
• Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning
• DP-SNP-TIHMM: Differentially Private, Time-Inhomogeneous Hidden Markov Models for Synthesizing Genome-Wide Association Datasets
• Classification of small binary bibraces via bilinear maps
• Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?
• On the Quantum Equivalence between $S|LWE\rangle$ and $ISIS$
• Anonymous Quantum Tokens with Classical Verification
• When Should Selfish Miners Double-Spend?
• Practical Secure Delegated Linear Algebra with Trapdoored Matrices
• Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code
• Federated Distributed Key Generation
• A Study on Malicious Browser Extensions in 2025
• Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
• DoomArena: A framework for Testing AI Agents Against Evolving Security Threats
• From Concept to Measurement: A Survey of How the Blockchain Trilemma Is Analyzed
• Refereed Learning
• A Probabilistic Basis for Low-Rank Matrix Learning
• Domain-Shift-Aware Conformal Prediction for Large Language Models
• Bilevel optimization for learning hyperparameters: Application to solving PDEs and inverse problems with Gaussian processes
• On the Theory of Continual Learning with Gradient Descent for Neural Networks
• Implicit Updates for Average-Reward Temporal Difference Learning
• Adaptive Reinforcement Learning for Dynamic Configuration Allocation in Pre-Production Testing
• Aneurysm Growth Time Series Reconstruction Using Physics-informed Autoencoder
• Efficient Prediction of Pass@k Scaling in Large Language Models
• Computing frustration and near-monotonicity in deep neural networks
• Tensor-on-tensor Regression Neural Networks for Process Modeling with High-dimensional Data
• Integrating Bayesian methods with neural network--based model predictive control: a review
• Prior-Aligned Meta-RL: Thompson Sampling with Learned Priors and Guarantees in Finite-Horizon MDPs
• Smart Contract Adoption under Discrete Overdispersed Demand: A Negative Binomial Optimization Perspective
• Monte Carlo-Type Neural Operator for Differential Equations
• Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scaling
• ESS-Flow: Training-free guidance of flow-based models as inference in source space
• Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
• Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers
• Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime
• Learning Mixtures of Linear Dynamical Systems (MoLDS) via Hybrid Tensor-EM Method
• The Physics of Data and Tasks: Theories of Locality and Compositionality in Deep Learning
• PolyGraph Discrepancy: a classifier-based metric for graph generation
• Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing
• Conformalized Gaussian processes for online uncertainty quantification over graphs
• Model-free generalized fiducial inference
• Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity
• An inexact LPA for DC composite optimization and application to matrix completions with outliers
• Oblivious Stochastic Composite Optimization
• Convergence of the majorized PAM method with subspace correction for low-rank composite factorization model
• Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs
• SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
• AuToMATo: An Out-Of-The-Box Persistence-Based Clustering Algorithm
• Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches
• Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations
• Conjugate gradient methods for high-dimensional GLMMs
• Can foundation models actively gather information in interactive environments to test hypotheses?
• Probabilistic Variational Contrastive Learning
• Gradient Methods with Online Scaling Part II. Practical Aspects
• VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
• Adaptive Dynamics Planning for Robot Navigation
• A multi-modal tactile fingertip design for robotic hands to enhance dexterous manipulation
• Towards Online Robot Interaction Adaptation to Human Upper-limb Mobility Impairments in Return-to-Work Scenarios
• Active Semantic Perception
• AD-NODE: Adaptive Dynamics Learning with Neural ODEs for Mobile Robots Control
• Correlation-Aware Dual-View Pose and Velocity Estimation for Dynamic Robotic Manipulation
• ARRC: Advanced Reasoning Robot Control - Knowledge-Driven Autonomous Manipulation Using Retrieval-Augmented Generation
• GO-Flock: Goal-Oriented Flocking in 3D Unknown Environments with Depth Maps
• DeLTa: Demonstration and Language-Guided Novel Transparent Object Manipulation
• Verifier-free Test-Time Sampling for Vision Language Action Models
• Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies
• Stable Robot Motions on Manifolds: Learning Lyapunov-Constrained Neural Manifold ODEs
• Federated Split Learning for Resource-Constrained Robots in Industrial IoT: Framework Comparison, Optimization Strategies, and Future Directions
• Precise and Efficient Collision Prediction under Uncertainty in Autonomous Driving
• Human-in-the-loop Optimisation in Robot-assisted Gait Training
• VCoT-Grasp: Grasp Foundation Models with Visual Chain-of-Thought Reasoning for Language-driven Grasp Generation
• A Co-Design Framework for Energy-Aware Monoped Jumping with Detailed Actuator Modeling
• Learning to Crawl: Latent Model-Based Reinforcement Learning for Soft Robotic Adaptive Locomotion
• The DISTANT Design for Remote Transmission and Steering Systems for Planetary Robotics
• AI-Enabled Capabilities to Facilitate Next-Generation Rover Surface Operations
• Coordinate-Consistent Localization via Continuous-Time Calibration and Fusion of UWB and SLAM Observations
• Cross-Embodiment Dexterous Hand Articulation Generation via Morphology-Aware Learning
• Multi-Robot Distributed Optimization for Exploration and Mapping of Unknown Environments using Bioinspired Tactile-Sensor
• Towards Autonomous Tape Handling for Robotic Wound Redressing
• Vision-Guided Targeted Grasping and Vibration for Robotic Pollination in Controlled Environments
• A Preview of HoloOcean 2.0
• DYMO-Hair: Generalizable Volumetric Dynamics Modeling for Robot Hair Manipulation
• EmbodiedCoder: Parameterized Embodied Mobile Manipulation via Modern Coding Model
• Safety-Critical Control with Bounded Inputs: A Closed-Form Solution for Backup Control Barrier Functions
• MetaVLA: Unified Meta Co-training For Efficient Embodied Adaption
• D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
• The Safety Challenge of World Models for Embodied AI Agents: A Review
• Information-Theoretic Policy Pre-Training with Empowerment
• Hybrid Quantum-Classical Policy Gradient for Adaptive Control of Cyber-Physical Systems: A Comparative Study of VQC vs. MLP
• Dropping the D: RGB-D SLAM Without the Depth Sensor
• Interpreting Behaviors and Geometric Constraints as Knowledge Graphs for Robot Manipulation Control
• Ego-to-Exo: Interfacing Third Person Visuals from Egocentric Views in Real-time for Improved ROV Teleoperation
• Image-Based Visual Servoing for Enhanced Cooperation of Dual-Arm Manipulation
• Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection
• pRRTC: GPU-Parallel RRT-Connect for Fast, Consistent, and Low-Cost Motion Planning
• IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models
• Capturing a Moving Target by Two Robots in the F2F Model
• Decremental Dynamics Planning for Robot Navigation
• Toward Dynamic Control of Tendon-driven Continuum Robots using Clarke Transform
• Identifying Uncertainty in Self-Adaptive Robotics with Large Language Models
• CottonSim: A vision-guided autonomous robotic system for cotton harvesting in Gazebo simulation
• Distilling On-device Language Models for Robot Planning with Minimal Human Intervention
• Minima and Critical Points of the Bethe Free Energy Are Invariant Under Deformation Retractions of Factor Graphs