AI Research News Feeds for August 13th, 2025

AI RESEARCH PAPERS & ACADEMIC SOURCES

• A deep learning framework for bone fragment classification in owl pellets using YOLOv12
• Use AI in the classroom to bring problems to life
• Margaret Boden obituary: cognitive scientist who explored how machines might emulate human imagination
• AI content is tainting preprints: how moderators are fighting back
• Predicting antidepressant response via local-global graph neural network and neuroimaging biomarkers
• An analysis of the real world performance of an artificial intelligence based autism diagnostic
• DiffVolume: Diffusion Models for Volume Generation in Limit Order Books
• CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems
• Subsampling Factorization Machine Annealing
• Image selective encryption analysis using mutual information in CNN based embedding space
• Sound Signal Synthesis with Auxiliary Classifier GAN, COVID-19 cough as an example
• Chartwin: a Case Study on Channel Charting-aided Localization in Dynamic Digital Network Twins
• Developing a Transferable Federated Network Intrusion Detection System
• Constrained free energy minimization for the design of thermal states and stabilizer thermodynamic systems
• Tame Riemannian Stochastic Approximation
• Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control
• A DNN Biophysics Model with Topological and Electrostatic Features
• Multi-modal Policies with Physics-informed Representations in Complex Fluid Environments
• Cross-Modal Temporal Fusion for Financial Market Forecasting
• Hyperbolic Fuzzy C-Means with Adaptive Weight-based Filtering for Efficient Clustering
• Few-Shot Adversarial Low-Rank Fine-Tuning of Vision-Language Models
• Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning
• Learning Generative Models for Climbing Aircraft from Radar Data
• Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment
• Whispers in the Machine: Confidentiality in Agentic Systems
• Evaluating lightweight unsupervised online IDS for masquerade attacks in CAN
• Touch and Tell: Multimodal Decoding of Human Emotions and Social Gestures for Robots
• Fast Tensor Completion via Approximate Richardson Iteration
• Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion
• Efficient Learning on Large Graphs using a Densifying Regularity Lemma
• Discrete and Continuous Difference of Submodular Minimization
• Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy
• Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation
• Probabilistic Emissivity Retrieval from Hyperspectral Data via Physics-Guided Variational Inference
• Comparative study of machine learning and statistical methods for automatic identification and quantification in {\gamma}-ray spectrometry
• Weather-Driven Agricultural Decision-Making Using Digital Twins Under Imperfect Conditions
• SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning
• Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features
• Sparse Partial Optimal Transport via Quadratic Regularization
• Biased Local SGD for Efficient Deep Learning on Heterogeneous Systems
• SHEFL: Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
• Dynamic Rank Adjustment for Accurate and Efficient Neural Network Training
• Classifier Language Models: Unifying Sparse Finetuning and Adaptive Tokenization for Specialized Classification Tasks
• Expert-Guided Diffusion Planner for Auto-bidding
• Elucidating Rectified Flow with Deterministic Sampler: Polynomial Discretization Complexity for Multi and One-step Models
• Interpretable Reward Model via Sparse Autoencoder
• Differentiated Information Mining: A Semi-supervised Learning Framework for GNNs
• Flow Battery Manifold Design with Heterogeneous Inputs Through Generative Adversarial Neural Networks
• Towards Scalable Lottery Ticket Networks using Genetic Algorithms
• Stationarity Exploration for Multivariate Time Series Forecasting
• Exploring Cross-Stage Adversarial Transferability in Class-Incremental Continual Learning
• LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks
• GRAVITY: A Controversial Graph Representation Learning for Vertex Classification
• Fre-CW: Targeted Attack on Time Series Forecasting using Frequency Domain Loss
• Low-Regret and Low-Complexity Learning for Hierarchical Inference
• MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation
• FetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm
• Causal Machine Learning for Patient-Level Intraoperative Opioid Dose Prediction from Electronic Health Records
• Meta-learning optimizes predictions of missing links in real-world networks
• Chi-Geometry: A Library for Benchmarking Chirality Prediction of GNNs
• Bridging Formal Language with Chain-of-Thought Reasoning to Geometry Problem Solving
• Deep Neural Network Calibration by Reducing Classifier Shift with Stochastic Masking
• Evaluating Imputation Techniques for Short-Term Gaps in Heart Rate Data
• CFM-GP: Unified Conditional Flow Matching to Learn Gene Perturbation Across Cell Types
• Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases
• Selective KV-Cache Sharing to Mitigate Timing Side-Channels in LLM Inference
• Language Models Can Understand Spectra: A Multimodal Model for Molecular Structure Elucidation
• Benchmarking Federated Learning for Throughput Prediction in 5G Live Streaming Applications
• Multi-Target Backdoor Attacks Against Speaker Recognition
• Flexible Prefrontal Control over Hippocampal Episodic Memory for Goal-Directed Generalization
• AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion Chatbot
• Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students
• Democracy of AI Numerical Weather Models: An Example of Global Forecasting with FourCastNetv2 Made by a University Research Lab Using GPU
• Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence
• Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
• To Judge or not to Judge: Using LLM Judgements for Advertiser Keyphrase Relevance at eBay
• Saturation Self-Organizing Map
• RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
• Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies
• Using LLMs to Capture Users' Temporal Context for Recommendation
• StreetViewAI: Making Street View Accessible Using Context-Aware Multimodal AI
• Playing Atari Space Invaders with Sparse Cosine Optimized Policy Evolution
• LLM-Driven Adaptive 6G-Ready Wireless Body Area Networks: Survey and Framework
• M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic Prediction
• AI Agents and the Law
• OmniLLP: Enhancing LLM-based Log Level Prediction with Context-Aware Retrieval
• UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction
• Who pays the RENT? Implications of Spatial Inequality for Prediction-Based Allocation Policies
• AI Security Map: Holistic Organization of AI Security Technologies and Impacts on Stakeholders
• Generative AI for Critical Infrastructure in Smart Grids: A Unified Framework for Synthetic Data Generation and Anomaly Detection
• QoE-Aware Service Provision for Mobile AR Rendering: An Agent-Driven Approach
• Securing Educational LLMs: A Generalised Taxonomy of Attacks on LLMs and DREAD Risk Assessment
• Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics
• Imposing AI: Deceptive design patterns against sustainability
• Generative Modeling for Robust Deep Reinforcement Learning on the Traveling Salesman Problem
• Visual Prompting for Robotic Manipulation with Annotation-Guided Pick-and-Place Using ACT
• Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
• TechOps: Technical Documentation Templates for the AI Act
• Opening Musical Creativity? Embedded Ideologies in Generative-AI Music Systems
• Not in My Backyard! Temporal Voting Over Public Chores
• TempOpt -- Unsupervised Alarm Relation Learning for Telecommunication Networks
• OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads
• Wavelet Mixture of Experts for Time Series Forecasting
• Geometry-Aware Global Feature Aggregation for Real-Time Indirect Illumination
• EditMF: Drawing an Invisible Fingerprint for Your Large Language Models
• The Roots of International Perceptions: Simulating US Attitude Changes Towards China with LLM Agents
• Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
• EGGCodec: A Robust Neural Encodec Framework for EGG Reconstruction and F0 Extraction
• Generalising Traffic Forecasting to Regions without Traffic Observations
• QAMRO: Quality-aware Adaptive Margin Ranking Optimization for Human-aligned Assessment of Audio Generation Systems
• Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change
• Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion
• Rational Inverse Reasoning
• Attacks and Defenses Against LLM Fingerprinting
• Can We Trust AI to Govern AI? Benchmarking LLM Performance on Privacy and AI Governance Exams
• Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring
• SPARC: Soft Probabilistic Adaptive multi-interest Retrieval Model via Codebooks for recommender system
• Towards Universal Neural Inference
• System~2 Reasoning for Human--AI Alignment: Generality and Adaptivity via ARC-AGI
• Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics
• Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity
• BELLA: Black box model Explanations by Local Linear Approximations
• Keep Your Friends Close: Leveraging Affinity Groups to Accelerate AI Inference Workflows
• Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
• MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
• Return Prediction for Mean-Variance Portfolio Selection: How Decision-Focused Learning Shapes Forecasting Models
• Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning
• Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning
• Learning Marmoset Vocal Patterns with a Masked Autoencoder for Robust Call Segmentation, Classification, and Caller Identification
• Adaptive Informed Deep Neural Networks for Power Flow Analysis
• Chemist-aligned retrosynthesis by ensembling diverse inductive bias models
• FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
• Forget the Data and Fine-Tuning! Just Fold the Network to Compress
• Topos Theory for Generative AI and LLMs
• Topos Causal Models
• An Efficient Application of Goal Programming to Tackle Multiobjective Problems with Recurring Fitness Landscapes
• LLM-BI: Towards Fully Automated Bayesian Inference with Large Language Models
• First Ask Then Answer: A Framework Design for AI Dialogue Based on Supplementary Questioning with Large Language Models
• What Breaks Knowledge Graph based RAG? Empirical Insights into Reasoning under Incomplete Knowledge
• UrzaGPT: LoRA-Tuned Large Language Models for Card Selection in Collectible Card Games
• Solver-Aided Expansion of Loops to Avoid Generate-and-Test
• OverFill: Two-Stage Models for Efficient Language Model Decoding
• A Fast GRASP Metaheuristic for the Trigger Arc TSP with MIP-Based Construction and Multi-Neighborhood Local Search
• Beyond Ordinal Preferences: Why Alignment Needs Cardinal Human Feedback
• POMO+: Leveraging starting nodes in POMO for solving Capacitated Vehicle Routing Problem
• Large Language Models as Oracles for Ontology Alignment
• GVGAI-LLM: Evaluating Large Language Model Agents with Infinite Games
• SynLLM: A Comparative Analysis of Large Language Models for Medical Tabular Synthetic Data Generation via Prompt Engineering
• UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss
• AgriGPT: a Large Language Model Ecosystem for Agriculture
• Diminution: On Reducing the Size of Grounding ASP Programs
• P-CAFE: Personalized Cost-Aware Incremental Feature Selection For Electronic Health Records
• Prompt-and-Check: Using Large Language Models to Evaluate Communication Protocol Compliance in Simulation-Based Training
• Hybrid Node-Destroyer Model with Large Neighborhood Search for Solving the Capacitated Vehicle Routing Problem
• Aryabhata: An exam-focused language model for JEE Math
• Simulating Generative Social Agents via Theory-Informed Workflow Design
• GRainsaCK: a Comprehensive Software Library for Benchmarking Explanations of Link Prediction Tasks on Knowledge Graphs
• Efficient Agent: Optimizing Planning Capability for Multimodal Retrieval Augmented Generation
• Reducing Cognitive Load in Multi-Agent Reinforcement Learning for Mathematical Problem Solving: Decoupling Reasoning and Code Generation
• Compass-Thinker-7B Technical Report
• Safe Semantics, Unsafe Interpretations: Tackling Implicit Reasoning Safety in Large Vision-Language Models
• Prospect Theory Fails for LLMs: Revealing Instability of Decision-Making under Epistemic Uncertainty
• Intrinsic Memory Agents: Heterogeneous Multi-Agent LLM Systems through Structured Contextual Memory
• Activation Steering for Bias Mitigation: An Interpretable Approach to Safer LLMs
• A First Look at Predictability and Explainability of Pre-request Passenger Waiting Time in Ridesharing Systems
• CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
• SMA: Who Said That? Auditing Membership Leakage in Semi-Black-box RAG Controlling
• BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair
• A New Parallel Cooperative Landscape Smoothing Algorithm and Its Applications on TSP and UBQP
• On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP
• emg2tendon: From sEMG Signals to Tendon Control in Musculoskeletal Hands
• Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
• XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting
• Multi-grained spatial-temporal feature complementarity for accurate online cellular traffic prediction
• Understanding Transformers through the Lens of Pavlovian Conditioning
• Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks
• Constrained PSLQ Search for Machin-like Identities Achieving Record-Low Lehmer Measures
• Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
• EU Digital Regulation and Guatemala: AI, 5G, and Cybersecurity
• Between Fear and Desire, the Monster Artificial Intelligence (AI): Analysis through the Lenses of Monster Theory
• Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code
• Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms
• Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming
• Normative Moral Pluralism for AI: A Framework for Deliberation in Complex Moral Contexts
• HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
• Algorithmic Fairness amid Social Determinants: Reflection, Characterization, and Approach
• Do AI Companies Make Good on Voluntary Commitments to the White House?
• Fuzzy-Pattern Tsetlin Machine
• Processing of synthetic data in AI development for healthcare and the definition of personal data in EU law
• The DNA of nuclear models: How AI predicts nuclear masses
• Generating Query-Relevant Document Summaries via Reinforcement Learning
• Fast weight programming and linear transformers: from machine learning to neurobiology
• Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations
• Empowering Children to Create AI-Enabled Augmented Reality Experiences
• When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital
• On Experiments
• Projection-based multifidelity linear regression for data-scarce applications
• In-Context Learning as Nonparametric Conditional Probability Estimation: Risk Bounds and Optimality
• Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction
• Bio-Inspired Artificial Neural Networks based on Predictive Coding
• Scaled-Dot-Product Attention as One-Sided Entropic Optimal Transport
• Regret minimization in Linear Bandits with offline data via extended D-optimal exploration
• Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
• Kernel Two-Sample Testing via Directional Components Analysis
• Distributed optimization: designed for federated learning
• Sensitivity Analysis to Unobserved Confounding with Copula-based Normalizing Flows
• ReQuestNet: A Foundational Learning model for Channel Estimation
• Hi-fi functional priors by learning activations
• Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
• Integrating attention into explanation frameworks for language and vision transformers
• Scaling Up Active Testing to Large Language Models
• fastkqr: A Fast Algorithm for Kernel Quantile Regression
• Online Covariance Estimation in Nonsmooth Stochastic Approximation
• Randomised Postiterations for Calibrated BayesCG
• Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes
• Finite-Sample Guarantees for Learning Dynamics in Zero-Sum Polymatrix Games
• Understanding Aggregations of Proper Learners in Multiclass Classification
• LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization
• Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
• A Parametric Bi-Directional Curvature-Based Framework for Image Artifact Classification and Quantification
• Adaptive High-Frequency Preprocessing for Video Coding
• GaussianUpdate: Continual 3D Gaussian Splatting Update for Changing Environments
• Preview WB-DH: Towards Whole Body Digital Human Bench for the Generation of Whole-body Talking Avatar Videos
• A Robust Epipolar-Domain Regularization Algorithm for Light Field Depth Estimation
• Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
• Automatic and standardized surgical reporting for central nervous system tumors
• A Pseudo Global Fusion Paradigm-Based Cross-View Network for LiDAR-Based Place Recognition
• Shape Completion and Real-Time Visualization in Robotic Ultrasound Spine Acquisitions
• Accelerated Volumetric Compression without Hierarchies: A Fourier Feature Based Implicit Neural Representation Approach
• MADPromptS: Unlocking Zero-Shot Morphing Attack Detection with Multiple Prompt Aggregation
• UniSTFormer: Unified Spatio-Temporal Lightweight Transformer for Efficient Skeleton-Based Action Recognition
• Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation
• Text-conditioned State Space Model For Domain-generalized Change Detection Visual Question Answering
• TaoCache: Structure-Maintained Video Generation Acceleration
• ColorGPT: Leveraging Large Language Models for Multimodal Color Recommendation
• KFFocus: Highlighting Keyframes for Enhanced Video Understanding
• Spatial-Temporal Multi-Scale Quantization for Flexible Motion Generation
• UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale
• Towards Perfection: Building Inter-component Mutual Correction for Retinex-based Low-light Image Enhancement
• Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
• When Deepfakes Look Real: Detecting AI-Generated Faces with Unlabeled Data due to Annotation Challenges
• Spatial Traces: Enhancing VLA Models with Spatial-Temporal Understanding
• Per-Query Visual Concept Learning
• ALFred: An Active Learning Framework for Real-world Semi-supervised Anomaly Detection with Adaptive Thresholds
• VLM-3D:End-to-End Vision-Language Models for Open-World 3D Perception
• Scaling Learned Image Compression Models up to 1 Billion
• Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision
• Deep Learning Models for Robust Facial Liveness Detection
• Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices
• HumanOLAT: A Large-Scale Dataset for Full-Body Human Relighting and Novel-View Synthesis
• MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder
• Variational volume reconstruction with the Deep Ritz Method
• Spatiotemporally Consistent Indoor Lighting Estimation with Diffusion Priors
• Improving Facial Rig Semantics for Tracking and Retargeting
• Preprocessing Algorithm Leveraging Geometric Modeling for Scale Correction in Hyperspectral Images for Improved Unmixing Performance
• Enhanced Liver Tumor Detection in CT Images Using 3D U-Net and Bat Algorithm for Hyperparameter Optimization
• Hybrid Long and Short Range Flows for Point Cloud Filtering
• Multi-level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL
• STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision
• Exploring Palette based Color Guidance in Diffusion Models
• Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition
• DiffPhysCam: Differentiable Physics-Based Camera Simulation for Inverse Rendering and Embodied AI
• Frequency-Assisted Adaptive Sharpening Scheme Considering Bitrate and Quality Tradeoff
• VertexRegen: Mesh Generation with Continuous Level of Detail
• A new dataset and comparison for multi-camera frame synthesis
• Efficient motion-based metrics for video frame interpolation
• OpenCUA: Open Foundations for Computer-Use Agents
• Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
• Efficient Annotation of Medieval Charters
• Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text
• SSPFusion: A Semantic Structure-Preserving Approach for Infrared and Visible Image Fusion
• Un-EVIMO: Unsupervised Event-Based Independent Motion Segmentation
• From Lab to Field: Real-World Evaluation of an AI-Driven Smart Video Solution to Enhance Community Safety
• PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud
• DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
• OE3DIS: Open-Ended 3D Point Cloud Instance Segmentation
• 3DFacePolicy: Audio-Driven 3D Facial Animation Based on Action Control
• SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
• A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends
• REDUCIO! Generating 1K Video within 16 Seconds using Extremely Compressed Motion Latents
• Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation
• PAD-F: Prior-Aware Debiasing Framework for Long-Tailed X-ray Prohibited Item Detection
• Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
• From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
• Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
• Zero-shot Emotion Annotation in Facial Images Using Large Multimodal Models: Benchmarking and Prospects for Multi-Class, Multi-Frame Approaches
• TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation
• Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
• Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process
• SketchSplat: 3D Edge Reconstruction via Differentiable Multi-view Sketch Splatting
• Enhancing Wide-Angle Image Using Narrow-Angle View of the Same Scene
• Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics
• Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction
• Minimal Sensing for Orienting a Solar Panel
• SPIE: Semantic and Structural Post-Training of Image Editing Diffusion Models with AI feedback
• LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition
• SoftHGNN: Soft Hypergraph Neural Networks for General Visual Recognition
• ViStoryBench: Comprehensive Benchmark Suite for Story Visualization
• Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval
• Multiple Stochastic Prompt Tuning for Few-shot Adaptation under Extreme Domain Shift
• HypeVPR: Exploring Hyperbolic Space for Perspective to Equirectangular Visual Place Recognition
• Investigating the Relationship between the Weighted Figure of Merit and Rosin's Measure
• MUG: Pseudo Labeling Augmented Audio-Visual Mamba Network for Audio-Visual Video Parsing
• See the Forest and the Trees: A Synergistic Reasoning Framework for Knowledge-Based Visual Question Answering
• A Data-driven Loss Weighting Scheme across Heterogeneous Tasks for Image Denoising
• Style transfer between Microscopy and Magnetic Resonance Imaging via Generative Adversarial Network in small sample size settings
• Vision-Based Adaptive Robotics for Autonomous Surface Crack Repair
• Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
• Gotta Hear Them All: Towards Sound Source Aware Audio Generation
• UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
• Automated Muscle and Fat Segmentation in Computed Tomography for Comprehensive Body Composition Analysis
• Multi-Keypoint Affordance Representation for Functional Dexterous Grasping
• Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference
• Euclid Quick Data Release (Q1). Active galactic nuclei identification using diffusion-based inpainting of Euclid VIS images
• PC-SRGAN: Physically Consistent Super-Resolution Generative Adversarial Network for General Transient Simulations
• A Fast Unsupervised Scheme for Polygonal Approximation
• When Imitation Learning Outperforms Reinforcement Learning in Surgical Action Planning
• LayLens: Improving Deepfake Understanding through Simplified Explanations
• Digital and Robotic Twinning for Validation of Proximity Operations and Formation Flying
• SinLlama - A Large Language Model for Sinhala
• OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
• Complex Logical Instruction Generation
• Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
• Benchmarking Large Language Models for Geolocating Colonial Virginia Land Grants
• Doctor Sun: A Bilingual Multimodal Large Language Model for Biomedical AI
• Maximizing GPU Efficiency via Optimal Adapter Caching: An Analytical Approach for Multi-Tenant LLM Serving
• Exploring the Technical Knowledge Interaction of Global Digital Humanities: Three-decade Evidence from Bibliometric-based perspectives
• Bilevel MCTS for Amortized O(1) Node Selection in Classical Planning
• Re:Verse -- Can Your VLM Read a Manga?
• Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference Optimization
• Adaptive Personalized Conversational Information Retrieval
• MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time
• $\text{M}^{2}$LLM: Multi-view Molecular Representation Learning with Large Language Models
• MultiAiTutor: Child-Friendly Educational Multilingual Speech Generation Tutor with LLMs
• Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance
• A Dual-Axis Taxonomy of Knowledge Editing for LLMs: From Mechanisms to Functions
• Revealing the Role of Audio Channels in ASR Performance Degradation
• E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency
• P/D-Device: Disaggregated Large Language Model between Cloud and Devices
• Quantifying Gender Biases Towards Politicians on Reddit
• Utilizing Large Language Models for Information Extraction from Real Estate Transactions
• From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models
• AdEval: Alignment-based Dynamic Evaluation to Mitigate Data Contamination in Large Language Models
• EvoP: Robust LLM Inference via Evolutionary Pruning
• Conformal Linguistic Calibration: Trading-off between Factuality and Specificity
• Evaluating Large Language Models for Automated Clinical Abstraction in Pulmonary Embolism Registries: Performance Across Model Sizes, Versions, and Parameters
• Opioid Named Entity Recognition (ONER-2025) from Reddit
• CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation
• ChatBench: From Static Benchmarks to Human-AI Evaluation
• Retrieval-Augmented Generation with Conflicting Evidence
• Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
• Mind the Gap: Benchmarking LLM Uncertainty, Discrimination, and Calibration in Specialty-Aware Clinical QA
• Unsupervised Document and Template Clustering using Multimodal Embeddings
• AIOS: LLM Agent Operating System
• VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge
• Task Diversity Shortens the ICL Plateau
• A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health
• Decoding-based Regression
• Sleepless Nights, Sugary Days: Creating Synthetic Users with Health Conditions for Realistic Coaching Agent Interactions
• OSMa-Bench: Evaluating Open Semantic Mapping Under Varying Lighting Conditions
• Adaptive Computation Pruning for the Forgetting Transformer
• Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration
• CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics
• Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?
• Evaluation of State-of-the-Art Deep Learning Techniques for Plant Disease and Pest Detection
• ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction
• Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions
• Neural Tangent Knowledge Distillation for Optical Convolutional Networks
• MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling
• MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization
• CObL: Toward Zero-Shot Ordinal Layering without User Prompting
• SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays
• VISOR: Visual Input-based Steering for Output Redirection in Vision-Language Models
• Training Kindai OCR with parallel textline images and self-attention feature distance-based loss
• Calibration Attention: Instance-wise Temperature Scaling for Vision Transformers
• Boosting Generic Semi-Supervised Medical Image Segmentation via Diverse Teaching and Label Propagation
• Unlocking the Potential of Diffusion Priors in Blind Face Restoration
• Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines
• Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation
• RealisMotion: Decomposed Human Motion Control and Video Generation in the World Space
• DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding
• QueryCraft: Transformer-Guided Query Initialization for Enhanced Human-Object Interaction Detection
• Yan: Foundational Interactive Video Generation
• Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization
• SelfHVD: Self-Supervised Handheld Video Deblurring for Mobile Phones
• Neural Artistic Style and Color Transfer Using Deep Learning
• Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation
• AME: Aligned Manifold Entropy for Robust Vision-Language Distillation
• Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation
• Learning Generalizable and Efficient Image Watermarking via Hierarchical Two-Stage Optimization
• MMIF-AMIN: Adaptive Loss-Driven Multi-Scale Invertible Dense Network for Multimodal Medical Image Fusion
• PADReg: Physics-Aware Deformable Registration Guided by Contact Force for Ultrasound Sequences
• ROD: RGB-Only Fast and Efficient Off-road Freespace Detection
• Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos
• SafeFix: Targeted Model Repair via Controlled Image Generation
• Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT
• Bridging the Gap: A Framework for Real-World Video Deepfake Detection via Social Network Compression Emulation
• SHREC 2025: Retrieval of Optimal Objects for Multi-modal Enhanced Language and Spatial Assistance (ROOMELSA)
• DiffPose-Animal: A Language-Conditioned Diffusion Framework for Animal Pose Estimation
• Region-Adaptive Video Sharpening via Rate-Perception Optimization
• MonoPartNeRF:Human Reconstruction from Monocular Video via Part-Based Neural Radiance Fields
• Identity-Preserving Aging and De-Aging of Faces in the StyleGAN Latent Space
• Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment
• TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models
• 3DFroMLLM: 3D Prototype Generation only from Pretrained Multimodal LLMs
• Argument Quality Annotation and Gender Bias Detection in Financial Communication through Large Language Models
• TurQUaz at CheckThat! 2025: Debating Large Language Models for Scientific Web Discourse Detection
• Heartificial Intelligence: Exploring Empathy in Language Models
• Real-time News Story Identification
• TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning
• Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
• MLLM-CBench:A Comprehensive Benchmark for Continual Instruction Tuning of Multimodal LLMs with Chain-of-Thought Reasoning Analysis
• Evaluating Contrast Localizer for Identifying Causal Unitsin Social & Mathematical Tasks in Language Models
• Objective Metrics for Evaluating Large Language Models Using External Data Sources
• MinionsLLM: a Task-adaptive Framework For The Training and Control of Multi-Agent Systems Through Natural Language
• The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
• Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions
• Putnam-AXIOM: A Functional and Static Benchmark
• CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation
• Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery
• Rethinking Tokenization for Rich Morphology: The Dominance of Unigram over BPE and Morphological Alignment
• Enhancing Small LLM Alignment through Margin-Based Objective Modifications under Resource Constraints
• Momentum Point-Perplexity Mechanics in Large Language Models
• Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative Regression
• DeCAL Tokenwise Compression
• DepressLLM: Interpretable domain-adapted language model for depression detection from real-world narratives
• Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review
• InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling
• Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use Agents
• LLaMA-Based Models for Aspect-Based Sentiment Analysis
• UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection
• Prompt-Based Approach for Czech Sentiment Analysis
• LLM driven Text-to-Table Generation through Sub-Tasks Guidance and Iterative Refinement
• TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation
• Out of the Box, into the Clinic? Evaluating State-of-the-Art ASR for Clinical Applications for Older Adults
• A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models
• IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization
• Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
• SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs
• DevNous: An LLM-Based Multi-Agent System for Grounding IT Project Management in Unstructured Conversation
• Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
• Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
• TiMoE: Time-Aware Mixture of Language Experts
• An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems
• Steering Towards Fairness: Mitigating Political Bias in LLMs
• BiasGym: Fantastic Biases and How to Find (and Remove) Them
• Weakly Supervised Fine-grained Span-Level Framework for Chinese Radiology Report Quality Assurance
• Entangled in Representations: Mechanistic Investigation of Cultural Biases in Large Language Models
• ASPD: Unlocking Adaptive Serial-Parallel Decoding by Exploring Intrinsic Parallelism in LLMs
• Munsit at NADI 2025 Shared Task 2: Pushing the Boundaries of Multidialectal Arabic ASR with Weakly Supervised Pretraining and Continual Supervised Fine-tuning
• Reveal-Bangla: A Dataset for Cross-Lingual Multi-Step Reasoning Evaluation
• Train Long, Think Short: Curriculum Learning for Efficient Reasoning
• Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens
• Retrospective Sparse Attention for Efficient Long-Context Generation
• LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA
• A Survey on Training-free Alignment of Large Language Models
• LLM-as-a-Supervisor: Mistaken Therapeutic Behaviors Trigger Targeted Supervisory Feedback
• MVISU-Bench: Benchmarking Mobile Agents for Real-World Tasks by Multi-App, Vague, Interactive, Single-App and Unethical Instructions
• READER: Retrieval-Assisted Drafter for Efficient LLM Inference
• CPO: Addressing Reward Ambiguity in Role-playing Dialogue via Comparative Policy Optimization
• Utilizing Multilingual Encoders to Improve Large Language Models for Low-Resource Languages
• Link Prediction for Event Logs in the Process Industry
• AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators