AI Research News Feeds for December 30th, 2025

AI RESEARCH PAPERS & ACADEMIC SOURCES

• DSwinIR: Rethinking Window-based Attention for Image Restoration
• MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation
• VisionDirector: Vision-Language Guided Closed-Loop Refinement for Generative Image Synthesis
• From Indoor to Open World: Revealing the Spatial Reasoning Gap in MLLMs
• UltraBoneUDF: Self-supervised Bone Surface Reconstruction from Ultrasound Based on Neural Unsigned Distance Functions
• Domain-Shift Immunity in Deep Deformable Registration via Local Feature Representations
• GeoTeacher: Geometry-Guided Semi-Supervised 3D Object Detection
• REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation
• GVSynergy-Det: Synergistic Gaussian-Voxel Representations for Multi-View 3D Object Detection
• GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation
• ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis
• Exploring Syn-to-Real Domain Adaptation for Military Target Detection
• Task-oriented Learnable Diffusion Timesteps for Universal Few-shot Learning of Dense Tasks
• AVOID: The Adverse Visual Conditions Dataset with Obstacles for Driving Scene Understanding
• MM-UAVBench: How Well Do Multimodal Large Language Models See, Think, and Plan in Low-Altitude UAV Scenarios?
• Holi-DETR: Holistic Fashion Item Detection Leveraging Contextual Information
• Bridging Your Imagination with Audio-Video Generation via a Unified Director
• Anomaly Detection by Effectively Leveraging Synthetic Images
• SURE Guided Posterior Sampling: Trajectory Correction for Diffusion-Based Inverse Problems
• Physics-Inspired Modeling and Content Adaptive Routing in an Infrared Gas Leak Detection Network
• RS-Prune: Training-Free Data Pruning at High Ratios for Efficient Remote Sensing Diffusion Foundation Models
• Multimodal Interpretation of Remote Sensing Images: Dynamic Resolution Input Strategy and Multi-scale Vision-Language Alignment Mechanism
• ViLaCD-R1: A Vision-Language Framework for Semantic Change Detection in Remote Sensing
• ASemConsist: Adaptive Semantic Feature Control for Training-Free Identity-Consistent Generation
• Contour Information Aware 2D Gaussian Splatting for Image Representation
• Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization
• YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
• Multi-Track Multimodal Learning on iMiGUE: Micro-Gesture and Emotion Recognition
• MedGemma vs GPT-4: Open-Source and Proprietary Zero-shot Medical Disease Classification from Images
• CME-CAD: Heterogeneous Collaborative Multi-Expert Reinforcement Learning for CAD Code Generation
• CountGD++: Generalized Prompting for Open-World Counting
• SpatialMosaic: A Multiview VLM Dataset for Partial Visibility
• MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning
• NeXT-IMDL: Build Benchmark for NeXT-Generation Image Manipulation Detection & Localization
• SoulX-LiveTalk Technical Report
• SOFTooth: Semantics-Enhanced Order-Aware Fusion for Tooth Instance Segmentation
• Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment
• DriveLaW:Unifying Planning and Video Generation in a Latent Driving World
• Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision
• Fuzzy-Logic and Deep Learning for Environmental Condition-Aware Road Surface Classification
• RealX3D: A Physically-Degraded 3D Benchmark for Multi-view Visual Restoration and Reconstruction
• CoFi-Dec: Hallucination-Resistant Decoding via Coarse-to-Fine Generative Feedback in Large Vision-Language Models
• Automated river gauge plate reading using a hybrid object detection and generative AI framework in the Limpopo River Basin
• Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators
• HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation
• MCI-Net: A Robust Multi-Domain Context Integration Network for Point Cloud Registration
• SC-Net: Robust Correspondence Learning via Spatial and Cross-Channel Context
• TV-RAG: A Temporal-aware and Semantic Entropy-Weighted Framework for Long Video Retrieval and Understanding
• Multi-label Classification with Panoptic Context Aggregation Networks
• IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation
• Iterative Inference-time Scaling with Adaptive Frequency Steering for Image Super-Resolution
• AnyMS: Bottom-up Attention Decoupling for Layout-guided and Training-free Multi-subject Customization
• PathFound: An Agentic Multimodal Model Activating Evidence-seeking Pathological Diagnosis
• PurifyGen: A Risk-Discrimination and Semantic-Purification Model for Safe Text-to-Image Generation
• RxnBench: A Multimodal Benchmark for Evaluating Large Language Models on Chemical Reaction Understanding from Scientific Literature
• ThinkGen: Generalized Thinking for Visual Generation
• Image Denoising Using Global and Local Circulant Representation
• ProGuard: Towards Proactive Multimodal Safeguard
• LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy Distillation
• Same or Not? Enhancing Visual Perception in Vision-Language Models
• Detection Fire in Camera RGB-NIR
• Scalable Residual Feature Aggregation Framework with Hybrid Metaheuristic Optimization for Robust Early Pancreatic Neoplasm Detection in Multimodal CT Imaging
• Rethinking the Spatio-Temporal Alignment of End-to-End 3D Perception
• OmniAgent: Audio-Guided Active Perception Agent for Omnimodal Audio-Video Understanding
• IDT: A Physically Grounded Transformer for Feed-Forward Multi-View Intrinsic Decomposition
• Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation
• Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion
• SlimEdge: Lightweight Distributed DNN Deployment on Constrained Hardware
• Field strength-dependent performance variability in deep learning-based analysis of magnetic resonance imaging
• AI-Enhanced Virtual Biopsies for Brain Tumor Diagnosis in Low Resource Settings
• Complex Swin Transformer for Accelerating Enhanced SMWI Reconstruction
• Super-Resolution Enhancement of Medical Images Based on Diffusion Model: An Optimization Scheme for Low-Resolution Gastric Images
• MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression
• JParc: Joint cortical surface parcellation with registration
• VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
• Learning Multi-Modal Mobility Dynamics for Generalized Next Location Recommendation
• Semantic contrastive learning for orthogonal X-ray computed tomography reconstruction
• Mesquite MoCap: Democratizing Real-Time Motion Capture with Affordable, Bodyworn IoT Sensors and WebXR SLAM
• SwinCCIR: An end-to-end deep network for Compton camera imaging reconstruction
• A Rapid GeoSAM-Based Workflow for Multi-Temporal Glacier Delineation: Case Study from Svalbard
• HiSciBench: A Hierarchical Multi-disciplinary Benchmark for Scientific Intelligence from Reading to Discovery
• Interpretable Gallbladder Ultrasound Diagnosis: A Lightweight Web-Mobile Software Platform with Real-Time XAI
• SurgWorld: Learning Surgical Robot Policies from Videos via World Modeling
• EIR: Enhanced Image Representations for Medical Report Generation
• PCR-ORB: Enhanced ORB-SLAM3 with Point Cloud Refinement Using Deep Learning-Based Dynamic Object Filtering
• RoboMirror: Understand Before You Imitate for Video to Humanoid Locomotion
• Enhance Multi-Scale Spatial-Temporal Coherence for Configurable Video Anomaly Detection
• LidarDM: Generative LiDAR Simulation in a Generated World
• Age-Defying Face Recognition with Transformer-Enhanced Loss
• Meta-information Guided Cross-domain Synergistic Diffusion Model for Low-dose PET Reconstruction
• Multi-objective hybrid knowledge distillation for efficient deep learning in smart agriculture
• Human-Aligned Generative Perception: Bridging Psychophysics and Generative Models
• GeCo: A Differentiable Geometric Consistency Metric for Video Generation
• The Illusion of Clinical Reasoning: A Benchmark Reveals the Pervasive Gap in Vision-Language Models for Clinical Competency
• FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound
• A Three-Level Alignment Framework for Large-Scale 3D Retrieval and Controlled 4D Generation
• Learning Dynamic Scene Reconstruction with Sinusoidal Geometric Priors
• Attack-Aware Deepfake Detection under Counter-Forensic Manipulations
• PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
• MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation
• VideoZoomer: Reinforcement-Learned Temporal Focusing for Long Video Reasoning
• SpotEdit: Selective Region Editing in Diffusion Transformers
• DeMoGen: Towards Decompositional Human Motion Generation with Energy-Based Diffusion Models
• The Multi-View Paradigm Shift in MRI Radiomics: Predicting MGMT Methylation in Glioblastoma
• Feature Learning with Multi-Stage Vision Transformers on Inter-Modality HER2 Status Scoring and Tumor Classification on Whole Slides
• VULCAN: Tool-Augmented Multi Agents for Iterative 3D Object Arrangement
• iOSPointMapper: RealTime Pedestrian and Accessibility Mapping with Mobile AI
• DeFloMat: Detection with Flow Matching for Stable and Efficient Generative Object Localization
• FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning
• EmoCtrl: Controllable Emotional Image Content Generation
• SuperiorGAT: Graph Attention Networks for Sparse LiDAR Point Cloud Reconstruction in Autonomous Systems
• LECalib: Line-Based Event Camera Calibration
• Towards Robust Optical-SAR Object Detection under Missing Modalities: A Dynamic Quality-Aware Fusion Framework
• SonoVision: A Computer Vision Approach for Helping Visually Challenged Individuals Locate Objects with the Help of Sound Cues
• SAM 3D for 3D Object Reconstruction from Remote Sensing Images
• Comparing Object Detection Models for Electrical Substation Component Mapping
• Pose-Guided Residual Refinement for Interpretable Text-to-Motion Generation and Editing
• Event-based high temporal resolution measurement of shock wave motion field
• Scalpel-SAM: A Semi-Supervised Paradigm for Adapting SAM to Infrared Small Object Detection
• Tracking by Predicting 3-D Gaussians Over Time
• SCAFusion: A Multimodal 3D Detection Framework for Small Object Detection in Lunar Surface Exploration
• DreamOmni3: Scribble-based Editing and Generation
• CoAgent: Collaborative Planning and Consistency Agent for Coherent Video Generation
• Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains
• ReFRM3D: A Radiomics-enhanced Fused Residual Multiparametric 3D Network with Multi-Scale Feature Fusion for Glioma Characterization
• KV-Tracker: Real-Time Pose Tracking with Transformers
• PTalker: Personalized Speech-Driven 3D Talking Head Animation via Style Disentanglement and Modality Alignment
• Enhancing Noise Resilience in Face Clustering via Sparse Differential Transformer
• Rethinking Memory Design in SAM-Based Visual Object Tracking
• Envision: Embodied Visual Planning via Goal-Imagery Video Diffusion
• FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution
• Visual Autoregressive Modelling for Monocular Depth Estimation
• Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
• CritiFusion: Semantic Critique and Spectral Alignment for Faithful Text-to-Image Generation
• Autoregressive Flow Matching for Motion Prediction
• SCPainter: A Unified Framework for Realistic 3D Asset Insertion and Novel View Synthesis
• Improved cystic hygroma detection from prenatal imaging using ultrasound-specific self-supervised representation learning
• Split4D: Decomposed 4D Scene Reconstruction Without Video Segmentation
• TrimTokenator-LC: Towards Adaptive Visual Token Pruning for Large Multimodal Models with Long Contexts
• Neighbor-Aware Token Reduction via Hilbert Curve for Vision Transformers
• Next Best View Selections for Semantic and Dynamic 3D Gaussian Splatting
• Plug In, Grade Right: Psychology-Inspired AGIQA
• Parallel Diffusion Solver via Residual Dirichlet Policy Optimization
• VPTracker: Global Vision-Language Tracking via Visual Prompt and MLLM
• Medical Scene Reconstruction and Segmentation based on 3D Gaussian Representation
• Evaluating the Performance of Open-Vocabulary Object Detection in Low-quality Image
• EgoReAct: Egocentric Video-Driven 3D Human Reaction Generation
• Depth Anything in $360^\circ$: Towards Scale Invariance in the Wild
• KANO: Kolmogorov-Arnold Neural Operator for Image Super-Resolution
• 3D Scene Change Modeling With Consistent Multi-View Aggregation
• A Minimal Solver for Relative Pose Estimation with Unknown Focal Length from Two Affine Correspondences
• MUSON: A Reasoning-oriented Multimodal Dataset for Socially Compliant Navigation in Urban Environments
• Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs
• Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples
• M-ErasureBench: A Comprehensive Multimodal Evaluation Benchmark for Concept Erasure in Diffusion Models
• SwinTF3D: A Lightweight Multimodal Fusion Approach for Text-Guided 3D Medical Image Segmentation
• Guided Path Sampling: Steering Diffusion Models Back on Track with Principled Path Guidance
• Hash Grid Feature Pruning
• JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation
• ColaVLA: Leveraging Cognitive Latent Reasoning for Hierarchical Parallel Trajectory Planning in Autonomous Driving
• Learning Where to Focus: Density-Driven Guidance for Detecting Dense Tiny Objects
• CLIP-Joint-Detect: End-to-End Joint Training of Object Detectors with Contrastive Vision-Language Supervision
• Wavelet-based Multi-View Fusion of 4D Radar Tensor and Camera for Robust 3D Object Detection
• YOLO-IOD: Towards Real Time Incremental Object Detection
• RealCamo: Boosting Real Camouflage Synthesis with Layout Controls and Textual-Visual Guidance
• PoseStreamer: A Multi-modal Framework for 6DoF Pose Estimation of Unseen Moving Objects
• Spatial-aware Symmetric Alignment for Text-guided Medical Image Segmentation
• Reverse Personalization
• A Low-Cost UAV Deep Learning Pipeline for Integrated Apple Disease Diagnosis,Freshness Assessment, and Fruit Detection
• OpenGround: Active Cognition-based Reasoning for Open-World 3D Visual Grounding
• With Great Context Comes Great Prediction Power: Classifying Objects via Geo-Semantic Scene Graphs
• An Architecture-Led Hybrid Report on Body Language Detection Project
• Toward Stable Semi-Supervised Remote Sensing Segmentation via Co-Guidance and Co-Fusion
• 3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds
• Video-BrowseComp: Benchmarking Agentic Video Research on Open Web
• MedSAM-based lung masking for multi-label chest X-ray classification
• PathoSyn: Imaging-Pathology MRI Synthesis via Disentangled Deviation Diffusion
• WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference
• Harnessing Large Language Models for Biomedical Named Entity Recognition
• Text-Routed Sparse Mixture-of-Experts Model with Explanation and Temporal Alignment for Multi-Modal Sentiment Analysis
• Fake News Classification in Urdu: A Domain Adaptation Approach for a Low-Resource Language
• NepEMO: A Multi-Label Emotion and Sentiment Analysis on Nepali Reddit with Linguistic Insights and Temporal Trends
• AutoForge: Automated Environment Synthesis for Agentic Reinforcement Learning
• Diversity or Precision? A Deep Dive into Next Token Prediction
• Prompt engineering does not universally improve Large Language Model performance across clinical decision-making tasks
• Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping
• LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models
• Accelerating Language Model Workflows with Prompt Choreography
• TabiBERT: A Large-Scale ModernBERT Foundation Model and Unified Benchmarking Framework for Turkish
• Reservoir Computing inspired Matrix Multiplication-free Language Model
• Not too long do read: Evaluating LLM-generated extreme scientific summaries
• Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process
• Chinese Morph Resolution in E-commerce Live Streaming Scenarios
• AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration
• AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
• A Stepwise-Enhanced Reasoning Framework for Large Language Models Based on External Subgraph Generation
• Entropy-Guided Token Dropout: Training Autoregressive Language Models with Limited Domain Data
• The Effect of Gender Diversity on Scientific Team Impact: A Team Roles Perspective
• C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs
• ClinDEF: A Dynamic Evaluation Framework for Large Language Models in Clinical Reasoning
• Semantic Tree Inference on Text Corpa using a Nested Density Approach together with Large Language Model Embeddings
• Automatic Detection of Complex Quotation Patterns in Aggadic Literature
• UniHetero: Could Generation Enhance Understanding for Vision-Language-Model at Large Data Scale?
• Single LLM Debate, MoLaCE: Mixture of Latent Concept Experts Against Confirmation Bias
• Lie to Me: Knowledge Graphs for Robust Hallucination Self-Detection in LLMs
• Instruction-Following Evaluation of Large Vision-Language Models
• Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models
• Close the Loop: Synthesizing Infinite Tool-Use Data via Multi-Agent Role-Playing
• A Dataset and Benchmark for Consumer Healthcare Question Summarization
• Nested Browser-Use Learning for Agentic Information Seeking
• Less is more: Probabilistic reduction is best explained by small-scale predictability measures
• Multilingual Hidden Prompt Injection Attacks on LLM-Based Academic Reviewing
• PROFASR-BENCH: A Benchmark for Context-Conditioned ASR in High-Stakes Professional Speech
• Fine-Tuning LLMs with Fine-Grained Human Feedback on Text Spans
• Unbiased Visual Reasoning with Controlled Visual Inputs
• A CNN-Based Malaria Diagnosis from Blood Cell Images with SHAP and LIME Explainability
• SciEvalKit: An Open-source Evaluation Toolkit for Scientific General Intelligence
• Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback
• Monadic Context Engineering
• Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone
• Multimodal Fact-Checking: An Agent-based Approach
• CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations
• The Big Three in Marriage Talk: LLM-Assisted Analysis of Moral Ethics and Sentiment on Weibo and Xiaohongshu
• Web World Models
• Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs
• Patience Is The Key to Large Language Model Reasoning
• Prompt Injection attack against LLM-integrated Applications
• RAVEL: Rare Concept Generation and Editing via Graph-driven Relational Guidance
• Characterizing Motion Encoding in Video Diffusion Timesteps
• Real-Time American Sign Language Recognition Using 3D Convolutional Neural Networks and LSTM: Architecture, Training, and Deployment
• SAMM2D: Scale-Aware Multi-Modal 2D Dual-Encoder for High-Sensitivity Intracrania Aneurysm Screening
• HookMIL: Revisiting Context Modeling in Multiple Instance Learning for Computational Pathology
• Tiny-YOLOSAM: Fast Hybrid Image Segmentation
• Quadrant Segmentation VLM with Few-Shot Adaptation and OCT Learning-based Explainability Methods for Diabetic Retinopathy
• TCFormer: A 5M-Parameter Transformer with Density-Guided Aggregation for Weakly-Supervised Crowd Counting
• Signal-SGN++: Topology-Enhanced Time-Frequency Spiking Graph Network for Skeleton-Based Action Recognition
• VLM-PAR: A Vision Language Model for Pedestrian Attribute Recognition
• Towards Signboard-Oriented Visual Question Answering: ViSignVQA Dataset, Method and Benchmark
• On Extending Semantic Abstraction for Efficient Search of Hidden Objects
• KAN-FPN-Stem:A KAN-Enhanced Feature Pyramid Stem for Boosting ViT-based Pose Estimation
• Machine Unlearning using Forgetting Neural Networks
• Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting
• A large language model-type architecture for high-dimensional molecular potential energy surfaces
• AdvPrefix: An Objective for Nuanced LLM Jailbreaks
• PearSAN: A Machine Learning Method for Inverse Design using Pearson Correlated Surrogate Annealing
• An Efficient Minimax Optimal Estimator For Multivariate Convex Regression
• Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework
• An extended method for Statistical Signal Characterization using moments and cumulants, as a fast and accurate pre-processing stage of simple ANNs applied to the recognition of pattern alterations in pulse-like waveforms
• A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
• Scalable and Privacy-Preserving Synthetic Data Generation on Decentralised Web
• NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction
• Predicting large scale cosmological structure evolution with generative adversarial network-based autoencoders
• Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection
• Image and Video Quality Assessment using Prompt-Guided Latent Diffusion Models for Cross-Dataset Generalization
• Generative Modeling by Minimizing the Wasserstein-2 Loss
• How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots
• Text-Driven Weakly Supervised OCT Lesion Segmentation with Structural Guidance
• ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
• Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding
• The Syntax of qulk-clauses in Yemeni Ibbi Arabic: A Minimalist Approach
• Towards Efficient Post-Training via Fourier-Driven Adapter Architectures
• LLM-Guided Exemplar Selection for Few-Shot Wearable-Sensor Human Activity Recognition
• Hallucination Detection and Evaluation of Large Language Model
• Exploring the Vertical-Domain Reasoning Capabilities of Large Language Models
• Constituency Structure over Eojeol in Korean Treebanks
• ManchuTTS: Towards High-Quality Manchu Speech Synthesis via Flow Matching and Hierarchical Text Representation
• Learning When Not to Attend Globally
• Structured Prompting and LLM Ensembling for Multimodal Conversational Aspect-based Sentiment Analysis
• Chain-of-thought Reviewing and Correction for Time Series Question Answering
• M2G-Eval: Enhancing and Evaluating Multi-granularity Multilingual Code Generation
• On the Role of Discreteness in Diffusion LLMs
• Evaluating GRPO and DPO for Faithful Chain-of-Thought Reasoning in LLMs
• Conformal Prediction Sets for Next-Token Prediction in Large Language Models: Balancing Coverage Guarantees with Set Efficiency
• Beg to Differ: Understanding Reasoning-Answer Misalignment Across Languages
• Mitigating Social Desirability Bias in Random Silicon Sampling
• Likelihood-Preserving Embeddings for Statistical Inference
• Tree Meets Transformer: A Hybrid Architecture for Scalable Power Allocation in Cell-Free Networks
• Clinically Calibrated Machine Learning Benchmarks for Large-Scale Multi-Disorder EEG Classification
• Investigating Deep Learning Models for Ejection Fraction Estimation from Echocardiography Videos
• Machine learning models for predicting catastrophe bond coupons using climate data
• INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading
• Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2
• Multimodal Diffeomorphic Registration with Neural ODEs and Structural Descriptors
• GHaLIB: A Multilingual Framework for Hope Speech Detection in Low-Resource Languages
• Memento-II: Learning by Stateful Reflective Memory
• Data Augmentation for Classification of Negative Pregnancy Outcomes in Imbalanced Data
• Active Constraint Learning in High Dimensions from Demonstrations
• Nonlinear Dynamical Modeling of Human Intracranial Brain Activity with Flexible Inference
• CNSight: Evaluation of Clinical Note Segmentation Tools
• Causal-Policy Forest for End-to-End Policy Learning
• ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum Learning
• Adaptive Trust Consensus for Blockchain IoT: Comparing RL, DRL, and MARL Against Naive, Collusive, Adaptive, Byzantine, and Sleeper Attacks
• Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
• A Neural Network-Based Real-time Casing Collar Recognition System for Downhole Instruments
• A first-order method for nonconvex-strongly-concave constrained minimax optimization
• Geometric Structural Knowledge Graph Foundation Model
• Deep Learning for the Multiple Optimal Stopping Problem
• Risk-Averse Learning with Varying Risk Levels
• JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
• Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint Verbalization
• The Reward Model Selection Crisis in Personalized Alignment
• Federated Learning With L0 Constraint Via Probabilistic Gates For Sparsity
• Deep Learning for Art Market Valuation
• QSAR-Guided Generative Framework for the Discovery of Synthetically Viable Odorants
• Benchmark Success, Clinical Failure: When Reinforcement Learning Optimizes for Benchmarks, Not Patients
• InSPO: Unlocking Intrinsic Self-Reflection for LLM Preference Optimization
• Multi-Agent Framework for Threat Mitigation and Resilience in AI-Based Systems
• Why Machine Learning Models Systematically Underestimate Extreme Values II: How to Fix It with LatentNN
• An Inference-Based Architecture for Intent and Affordance Saturation in Decision-Making
• SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search
• Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning
• Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis
• Anka: A Domain-Specific Language for Reliable LLM Code Generation
• Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation
• Revealing design archetypes and flexibility in e-molecule import pathways using Modeling to Generate Alternatives and interpretable machine learning
• Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control
• Visual Language Hypothesis
• Persistent Homology via Finite Topological Spaces
• Beyond-Diagonal Reconfigurable Intelligent Surfaces for 6G Networks: Principles, Challenges, and Quantum Horizons
• Probabilistic Modelling is Sufficient for Causal Inference
• AKG kernel Agent: A Multi-Agent Framework for Cross-Platform Kernel Synthesis
• A general framework for deep learning
• Towards Integrating Uncertainty for Domain-Agnostic Segmentation
• Adaptive Fusion Graph Network for 3D Strain Field Prediction in Solid Rocket Motor Grains
• Assessing behaviour coverage in a multi-agent system simulation for autonomous vehicle testing
• Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
• Replay Failures as Successes: Sample-Efficient Reinforcement Learning for Instruction Following
• Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning
• From geometry to dynamics: Learning overdamped Langevin dynamics from sparse observations with geometric constraints
• The Nonstationarity-Complexity Tradeoff in Return Prediction
• Regret-Based Federated Causal Discovery with Unknown Interventions
• Memorization in 3D Shape Generation: An Empirical Study
• AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms
• Simultaneous Approximation of the Score Function and Its Derivatives by Deep Neural Networks
• Calibrated Multi-Level Quantile Forecasting
• Bellman Calibration for V-Learning in Offline Reinforcement Learning
• Eliciting Behaviors in Multi-Turn Conversations
• Development of Crop Yield Estimation Model using Soil and Environmental Parameters
• Sequential learning on a Tensor Network Born machine with Trainable Token Embedding
• Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods
• A Survey of Reinforcement Learning from Human Feedback
• CarSpeedNet: Learning-Based Speed Estimation from Accelerometer-Only Inertial Sensing
• DE$^3$-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks
• Application-Driven Innovation in Machine Learning
• Aligning Agents like Large Language Models
• Efficient Offline Reinforcement Learning: First Imitate, then Improve
• Enhanced $H$-Consistency Bounds
• GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method
• Preconditioning for Accelerated Gradient Descent Optimization and Regularization
• Trust-free Personalized Decentralized Learning
• Constraint Decoupled Latent Diffusion for Protein Backmapping
• On the Convergence Theory of Pipeline Gradient-based Analog In-memory Training
• Machine Learning-Assisted Vocal Cord Ultrasound Examination: Project VIPR
• A Simple, Optimal and Efficient Algorithm for Online Exp-Concave Optimization
• PGOT: A Physics-Geometry Operator Transformer for Complex PDEs
• Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing
• FairGFL: Privacy-Preserving Fairness-Aware Federated Learning with Overlapping Subgraphs
• KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta
• PFed-Signal: An ADR Prediction Model based on Federated Learning
• On the Inverse Flow Matching Problem in the One-Dimensional and Gaussian Cases
• Spectral Analysis of Hard-Constraint PINNs: The Spatial Modulation Mechanism of Boundary Functions
• Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL
• Deep learning for pedestrians: backpropagation in Transformers
• The Law of Multi-Model Collaboration: Scaling Limits of Model Ensembling for Large Language Models
• ECG-RAMBA: Zero-Shot ECG Generalization by Morphology-Rhythm Disentanglement and Long-Range Modeling
• ISOPO: Proximal policy gradients without pi-old
• Post-Training Quantization of OpenPangu Models for Efficient Deployment on Atlas A2
• Diffusion priors enhanced velocity model building from time-lag images using a neural operator
• A unified framework for detecting point and collective anomalies in operating system logs via collaborative transformers
• On the Sample Complexity of Learning for Blind Inverse Problems
• Task-driven Heterophilic Graph Structure Learning
• Theoretical Foundations of Scaling Law in Familial Models
• Directly Constructing Low-Dimensional Solution Subspaces in Deep Neural Networks
• Stochastic Siamese MAE Pretraining for Longitudinal Medical Images
• Dynamic Subspace Composition: Efficient Adaptation via Contractive Basis Expansion
• Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance
• FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence
• ML Compass: Navigating Capability, Cost, and Compliance Trade-offs in AI Model Deployment
• Joint Link Adaptation and Device Scheduling Approach for URLLC Industrial IoT Network: A DRL-based Method with Bayesian Optimization
• Trustworthy Machine Learning under Distribution Shifts
• EEG-based Graph-guided Domain Adaptation for Robust Cross-Session Emotion Recognition
• VL-RouterBench: A Benchmark for Vision-Language Model Routing
• Distribution-Free Process Monitoring with Conformal Prediction
• Le Cam Distortion: A Decision-Theoretic Framework for Robust Transfer Learning
• BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization
• Random Controlled Differential Equations
• End-to-End Test-Time Training for Long Context
• Training AI Co-Scientists Using Rubric Rewards
• ReCollab: Retrieval-Augmented LLMs for Cooperative Ad-hoc Teammate Modeling
• On Harnessing Idle Compute at the Edge for Foundation Model Training
• UniFi: Combining Irregularly Sampled CSI from Diverse Communication Packets and Frequency Bands for Wi-Fi Sensing
• The Complete Anatomy of the Madden-Julian Oscillation Revealed by Artificial Intelligence
• EEG-to-Voice Decoding of Spoken and Imagined speech Using Non-Invasive EEG
• GPU Kernel Optimization Beyond Full Builds: An LLM Framework with Minimal Executable Programs
• Machine Learning-Based Basil Yield Prediction in IoT-Enabled Indoor Vertical Hydroponic Farms
• Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data
• Sampling with Shielded Langevin Monte Carlo Using Navigation Potentials
• PaperNet: Efficient Temporal Convolutions and Channel Residual Attention for EEG Epilepsy Detection
• Enhancing Medical Data Analysis through AI-Enhanced Locally Linear Embedding: Applications in Medical Point Location and Imagery
• MatKV: Trading Compute for Flash Storage in LLM Inference
• AETAS: Analysis of Evolving Temporal Affect and Semantics for Legal History
• CosineGate: Semantic Dynamic Routing via Cosine Incompatibility in Residual Networks
• Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA
• Mirage Persistent Kernel: A Compiler and Runtime for Mega-Kernelizing Tensor Programs
• VideoScaffold: Elastic-Scale Visual Hierarchies for Streaming Video Understanding in MLLMs
• Hierarchical Geometry of Cognitive States in Transformer Embedding Spaces
• We are not able to identify AI-generated images
• Analyzing Skill Element in Online Fantasy Cricket
• Shape of Thought: When Distribution Matters More than Correctness in Reasoning Tasks
• Logic Sketch Prompting (LSP): A Deterministic and Interpretable Prompting Method
• INSIGHT: Spatially resolved survival modelling from routine histology crosslinked with molecular profiling reveals prognostic epithelial-immune axes in stage II/III colorectal cancer
• Evaluating an Adaptive Multispectral Turret System for Autonomous Tracking Across Variable Illumination Conditions
• A review of NMF, PLSA, LBA, EMA, and LCA with a focus on the identifiability issue
• On Fibonacci Ensembles: An Alternative Approach to Ensemble Learning Inspired by the Timeless Architecture of the Golden Ratio
• A General Weighting Theory for Ensemble Learning: Beyond Variance Reduction via Spectral and Geometric Structure
• Real-Time In-Cabin Driver Behavior Recognition on Low-Cost Edge Hardware
• LLA: Enhancing Security and Privacy for Generative Models with Logic-Locked Accelerators
• SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents
• Emotion classification using EEG headset signals and Random Forest
• Human-like visual computing advances explainability and few-shot learning in deep neural networks for complex physiological data
• Self-Evaluation Unlocks Any-Step Text-to-Image Generation
• PHANTOM: Physics-Aware Adversarial Attacks against Federated Learning-Coordinated EV Charging Management System
• Integrating Wide and Deep Neural Networks with Squeeze-and-Excitation Blocks for Multi-Target Property Prediction in Additively Manufactured Fiber Reinforced Composites
• Differentiable Inverse Modeling with Physics-Constrained Latent Diffusion for Heterogeneous Subsurface Parameter Fields
• Bright 4B: Scaling Hyperspherical Learning for Segmentation in 3D Brightfield Microscopy
• Uncertainty-Aware Flow Field Reconstruction Using SVGP Kolmogorov-Arnold Networks
• AnalogSAGE: Self-evolving Analog Design Multi-Agents with Stratified Memory and Grounded Experience
• HiFi-RAG: Hierarchical Content Filtering and Two-Pass Generation for Open-Domain RAG
• Gradient Dynamics of Attention: How Cross-Entropy Sculpts Bayesian Manifolds
• SPECTRE: Spectral Pre-training Embeddings with Cylindrical Temporal Rotary Position Encoding for Fine-Grained sEMG-Based Movement Decoding
• Role-Based Fault Tolerance System for LLM RL Post-Training
• Computing Pure-Strategy Nash Equilibria in a Two-Party Policy Competition: Existence and Algorithmic Approaches
• RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure
• Geometry-Aware Optimization for Respiratory Sound Classification: Enhancing Sensitivity with SAM-Optimized Audio Spectrogram Transformers
• The Effectiveness of Approximate Regularized Replay for Efficient Supervised Fine-Tuning of Large Language Models
• Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration
• BLISS: Bandit Layer Importance Sampling Strategy for Efficient Training of Graph Neural Networks
• Causality-Inspired Safe Residual Correction for Multivariate Time Series
• AFA-LoRA: Enabling Non-Linear Adaptations in LoRA with Activation Function Annealing
• AMBIT: Augmenting Mobility Baselines with Interpretable Trees
• GLUE: Gradient-free Learning to Unify Experts
• The Bayesian Geometry of Transformer Attention
• Collaborative Optimization of Multiclass Imbalanced Learning: Density-Aware and Region-Guided Boosting
• Toward Real-World IoT Security: Concept Drift-Resilient IoT Botnet Detection via Latent Space Representation Learning and Alignment
• The Quest for Winning Tickets in Low-Rank Adapters
• Predicting LLM Correctness in Prosthodontics Using Metadata and Hallucination Signals
• Decomposing Task Vectors for Refined Model Editing
• Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks
• TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
• On Admissible Rank-based Input Normalization Operators
• Data-Driven Analysis of Crash Patterns in SAE Level 2 and Level 4 Automated Vehicles Using K-means Clustering and Association Rule Mining
• Energy-Guided Flow Matching Enables Few-Step Conformer Generation and Ground-State Identification
• Cryptocurrency Price Prediction Using Parallel Gated Recurrent Units
• Gold Price Prediction Using Long Short-Term Memory and Multi-Layer Perceptron with Gray Wolf Optimizer
• Communication Compression for Distributed Learning with Aggregate and Server-Guided Feedback
• Scaling Unverifiable Rewards: A Case Study on Visual Insights
• Quantum Generative Models for Computational Fluid Dynamics: A First Exploration of Latent Space Learning in Lattice Boltzmann Simulations
• Beyond Centralization: Provable Communication Efficient Decentralized Multi-Task Learning
• Learning with the $p$-adics
• Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors
• What Matters in Deep Learning for Time Series Forecasting?
• FoldAct: Efficient and Stable Context Folding for Long-Horizon Search Agents
• When Does Multi-Task Learning Fail? Quantifying Data Imbalance and Task Independence in Metal Alloy Property Prediction
• Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL
• From Confounding to Learning: Dynamic Service Fee Pricing on Third-Party Platforms
• A Micro-Macro Machine Learning Framework for Predicting Childhood Obesity Risk Using NHANES and Environmental Determinants
• Understanding the Mechanisms of Fast Hyperparameter Transfer
• GRExplainer: A Universal Explanation Method for Temporal Graph Neural Networks
• Schrodinger AI: A Unified Spectral-Dynamical Framework for Classification, Reasoning, and Operator-Based Generalization
• Adapting, Fast and Slow: Transportable Circuits for Few-Shot Learning
• Discovering Transmission Dynamics of COVID-19 in China
• SNM-Net: A Universal Framework for Robust Open-Set Gas Recognition via Spherical Normalization and Mahalanobis Distance
• ReDiF: Reinforced Distillation for Few Step Diffusion
• MoR: Mixture Of Representations For Mixed-Precision Training
• Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models
• TEACH: Temporal Variance-Driven Curriculum for Reinforcement Learning
• Fundamental Novel Consistency Theory: $H$-Consistency Bounds
• Theory and Algorithms for Learning with Multi-Class Abstention and Multi-Expert Deferral
• Federated Multi-Task Clustering
• Debugging Tabular Log as Dynamic Graphs
• MetaCD: A Meta Learning Framework for Cognitive Diagnosis based on Continual Learning
• Sat-EnQ: Satisficing Ensembles of Weak Q-Learners for Reliable and Compute-Efficient Reinforcement Learning
• Multiple Token Divergence: Measuring and Steering In-Context Computation Density
• APO: Alpha-Divergence Preference Optimization
• FLOW: A Feedback-Driven Synthetic Longitudinal Dataset of Work and Wellbeing
• A Context-Aware Temporal Modeling through Unified Multi-Scale Temporal Encoding and Hierarchical Sequence Learning for Single-Channel EEG Sleep Staging
• Fusion or Confusion? Multimodal Complexity Is Not All You Need
• Merge before Forget: A Single LoRA Continual Learning via Continual Merging
• Mechanistic Analysis of Circuit Preservation in Federated Learning
• PI-MFM: Physics-informed multimodal foundation model for solving partial differential equations
• Breaking the Memory Wall: Exact Analytical Differentiation via Tiled Operator-Space Evolution
• FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment
• Rethinking Fine-Tuning: Unlocking Hidden Capabilities in Vision-Language Models
• Trust Region Masking for Long-Horizon LLM Reinforcement Learning
• Multimodal Functional Maximum Correlation for Emotion Recognition
• Taming the Tail: Stable LLM Reinforcement Learning via Dynamic Vocabulary Pruning
• Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
• A Note on Hybrid Online Reinforcement and Imitation Learning for LLMs: Formulations and Algorithms
• How Much Data Is Enough? Uniform Convergence Bounds for Generative & Vision-Language Models under Low-Dimensional Structure
• SE-MLP Model for Predicting Prior Acceleration Features in Penetration Signals
• Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
• Graph Neural Networks with Transformer Fusion of Brain Connectivity Dynamics and Tabular Data for Forecasting Future Tobacco Use
• A Weak Signal Learning Dataset and Its Baseline Method
• Diffusion-based Decentralized Federated Multi-Task Representation Learning
• Evaluating Parameter Efficient Methods for RLVR
• HELM-BERT: A Transformer for Medium-sized Peptide Property Prediction
• Pruning Graphs by Adversarial Robustness Evaluation to Strengthen GNN Defenses
• Towards Unsupervised Causal Representation Learning via Latent Additive Noise Model Causal Autoencoders
• SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models
• Wireless Traffic Prediction with Large Language Model
• Latent Sculpting for Zero-Shot Generalization: A Manifold Learning Approach to Out-of-Distribution Anomaly Detection
• Learning Tennis Strategy Through Curriculum-Based Dueling Double Deep Q-Networks
• Physics-Informed Machine Learning for Transformer Condition Monitoring -- Part II: Physics-Informed Neural Networks and Uncertainty Quantification
• Physics-Informed Machine Learning for Transformer Condition Monitoring -- Part I: Basic Concepts, Neural Networks, and Variants
• Frequency Regularization: Unveiling the Spectral Inductive Bias of Deep Neural Networks
• Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
• Transformer Reconstructed with Dynamic Value Attention
• On the Existence and Behaviour of Secondary Attention Sinks
• Interpretable and Adaptive Node Classification on Heterophilic Graphs via Combinatorial Scoring and Hybrid Learning
• M\"untz-Sz\'asz Networks: Neural Architectures with Learnable Power-Law Bases
• ReGAIN: Retrieval-Grounded AI Framework for Network Traffic Analysis
• DiRL: An Efficient Post-Training Framework for Diffusion Language Models
• Masking Teacher and Reinforcing Student for Distilling Vision-Language Models
• EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs
• Enhanced geometry prediction in laser directed energy deposition using meta-learning
• Fairness Evaluation of Risk Estimation Models for Lung Cancer Screening
• Predicting Mycotoxin Contamination in Irish Oats Using Deep and Transfer Learning
• Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation
• The Affine Divergence: Aligning Activation Updates Beyond Normalisation
• Amortized Inference for Model Rocket Aerodynamics: Learning to Estimate Physical Parameters from Simulation
• Temporal Visual Semantics-Induced Human Motion Understanding with Large Language Models
• Interpretable Perturbation Modeling Through Biomedical Knowledge Graphs
• Graph Attention-based Adaptive Transfer Learning for Link Prediction
• Cardiac mortality prediction in patients undergoing PCI based on real and synthetic data
• The Physics Constraint Paradox: When Removing Explicit Constraints Improves Physics-Informed Data for Machine Learning
• LuxIA: A Lightweight Unitary matriX-based Framework Built on an Iterative Algorithm for Photonic Neural Network Training
• LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs
• Hierarchical Stacking Optimization Using Dirichlet's Process (SoDip): Towards Accelerated Design for Graft Polymerization
• Valori: A Deterministic Memory Substrate for AI Systems
• DBAW-PIKAN: Dynamic Balance Adaptive Weight Kolmogorov-Arnold Neural Network for Solving Partial Differential Equations
• Cluster Aggregated GAN (CAG): A Cluster-Based Hybrid Model for Appliance Pattern Generation
• Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Diffusion Model
• When Algorithms Manage Humans: A Double Machine Learning Approach to Estimating Nonlinear Effects of Algorithmic Control on Gig Worker Performance and Wellbeing
• Multi-Head Spectral-Adaptive Graph Anomaly Detection
• Learning from Negative Examples: Why Warning-Framed Training Data Teaches What It Warns Against
• Hybrid Quantum-Classical Mixture of Experts: Unlocking Topological Advantage via Interference-Based Routing
• Statistical and Machine Learning Analysis of Traffic Accidents on US 158 in Currituck County: A Comparison with HSM Predictions
• PDx -- Adaptive Credit Risk Forecasting Model in Digital Lending using Machine Learning Operations
• LLMBoost: Make Large Language Models Stronger with Boosting
• Optimistic Feasible Search for Closed-Loop Fair Threshold Decision-Making
• LangPrecip: Language-Aware Multimodal Precipitation Nowcasting
• Decomposing Uncertainty in Probabilistic Knowledge Graph Embeddings: Why Entity Variance Is Not Enough
• Expert System for Bitcoin Forecasting: Integrating Global Liquidity via TimeXer Transformers