Papers
Mon 29 Dec 2025
272 papers
- An Agentic LLM Framework for Adverse Media Screening in AML ComplianceLLM agents and tool use → Agent threats, guardrails and governance
- Temporal Attack Pattern Detection in Multi-Agent AI Workflows: An Open Framework for Training Trace-Based Security ModelsLLM agents and tool use → Agent threats, guardrails and governance
- Breaking Audio Large Language Models by Attacking Only the Encoder: A Universal Targeted Latent-Space Audio AttackLLM reasoning → Audio-language model reasoning
- CASCADE: Cumulative Agentic Skill Creation through Autonomous Development and EvolutionLLM agents and tool use → General LLM agent frameworks and benchmarks
- From Illusion to Insight: Change-Aware File-Level Software Defect Prediction Using Agentic AILLM agents and tool use → Software engineering coding agents
- Max-Entropy Reinforcement Learning with Flow Matching and A Case Study on LQRDiffusion models → Diffusion and flow policies for robotics +1
- Learning to Feel the Future: DreamTacVLA for Contact-Rich ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM DecodingEfficient LLM inference and serving → Speculative decoding
- Flow Matching Neural ProcessesDiffusion models → Flow matching, time series and science
- Integrating Domain Knowledge for Financial QA: A Multi-Retriever RAG Approach with LLMsRetrieval-augmented generation → Legal and financial RAG
- From Correctness to Collaboration: Toward a Human-Centered Framework for Evaluating AI Agent Behavior in Software EngineeringLLM agents and tool use → Software engineering coding agents
- Adversarial Lens: Exploiting Attention Layers to Generate Adversarial Examples for EvaluationMechanistic interpretability → Steering and probing for LLM safety
- Retrieval Augmented Question Answering: When Should LLMs Admit Ignorance?Retrieval-augmented generation → RAG robustness and adaptive retrieval
- Improved Bounds for Private and Robust AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures TradingDeep reinforcement learning methods → Adversarial robustness and RL in finance
- SB-TRPO: Towards Safe Reinforcement Learning with Hard ConstraintsDeep reinforcement learning methods → Safe and constrained RL
- Entropy-Aware Token Rejection for Improving Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive DiffusionDiffusion models → Inverse problems and image restoration
- Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal EstimationDiffusion models → 3D, point cloud and scene generation
- Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic ManipulationLLM reasoning → Spatial and embodied reasoning +1
- Bellman Calibration for V-Learning in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Fine-Tuning LLMs with Fine-Grained Human Feedback on Text SpansLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Multilingual Hidden Prompt Injection Attacks on LLM-Based Academic ReviewingLLM safety and security → Prompt injection and agent security
- Web World ModelsWorld models → World models for language agents
- Nested Browser-Use Learning for Agentic Information SeekingLLM agents and tool use → Web, search, and research agents
- Active Perception Agent for Omnimodal Audio-Video UnderstandingLLM agents and tool use → Multimodal and embodied agents
- BOAD: Discovering Hierarchical Software Engineering Agents via Bandit OptimizationLLM reasoning → Reasoning for agents, planning and code +1
- Close the Loop: Synthesizing Infinite Tool-Use Data via Multi-Agent Role-PlayingLLM agents and tool use → Tool learning and function calling
- Same or Not? Enhancing Visual Perception in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy DistillationDiffusion models → Video generation
- Instruction-Following Evaluation of Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ThinkGen: Generalized Thinking for Visual GenerationLLM reasoning → Multimodal reasoning +1
- RxnBench: A Multimodal Benchmark for Evaluating Large Language Models on Chemical Reaction Understanding from Scientific LiteratureMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- VL-RouterBench: A Benchmark for Vision-Language Model RoutingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Toward Trustworthy Agentic AI: A Multimodal Framework for Preventing Prompt Injection AttacksLLM agents and tool use → Agent threats, guardrails and governance +1
- PurifyGen: A Risk-Discrimination and Semantic-Purification Model for Safe Text-to-Image GenerationDiffusion models → Robustness, privacy and adversarial aspects
- PathFound: An Agentic Multimodal Model Activating Evidence-seeking Pathological DiagnosisMultimodal LLMs / vision-language models → Medical vision-language models +1
- Act2Goal: From World Model To General Goal-conditioned PolicyWorld models → Embodied and robot world models +1
- Iterative Inference-time Scaling with Adaptive Frequency Steering for Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Single LLM Debate, MoLaCE: Mixture of Latent Concept Experts Against Confirmation BiasLLM agents and tool use → Social simulation and multi-agent debate
- Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- Beyond Correctness: Exposing LLM-generated Logical Flaws in Reasoning via Multi-step Automated Theorem ProvingLLM reasoning → Reasoning benchmarks and evaluation
- The Gaining Paths to Investment Success: Information-Driven LLM Graph Reasoning for Venture Capital PredictionLLM reasoning → Reasoning for agents, planning and code
- Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability MitigationLLM agents and tool use → Agent threats, guardrails and governance
- HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion GenerationDiffusion models → Video generation
- Eliminating Inductive Bias in Reward Models with Information-Theoretic GuidanceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Replay Failures as Successes: Sample-Efficient Reinforcement Learning for Instruction FollowingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- CoFi-Dec: Hallucination-Resistant Decoding via Coarse-to-Fine Generative Feedback in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Dynamic Subspace Composition: Efficient Adaptation via Contractive Basis ExpansionMixture-of-experts → MoE theory and gating functions
- Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary LossMixture-of-experts → Expert routing strategies
- ClinDEF: A Dynamic Evaluation Framework for Large Language Models in Clinical ReasoningLLM reasoning → Clinical and biomedical applications
- Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair SupervisionDiffusion models → Diffusion and flow policies for robotics +1
- AKG kernel Agent: A Multi-Agent Framework for Cross-Platform Kernel SynthesisLLM agents and tool use → Software engineering coding agents
- DriveLaW:Unifying Planning and Video Generation in a Latent Driving WorldWorld models → World models for autonomous driving +1
- MindWatcher: Toward Smarter Multimodal Tool-Integrated ReasoningLLM agents and tool use → Multimodal and embodied agents
- SoulX-FlashTalk: Real-Time Infinite Streaming of Audio-Driven Avatars via Self-Correcting Bidirectional DistillationDiffusion models → Audio, speech and music
- Diffusion priors enhanced velocity model building from time-lag images using a neural operatorDiffusion models → Flow matching, time series and science
- AGRO-SQL: Agentic Group-Relative Optimization with High-Fidelity Data SynthesisLLM reasoning → Reinforcement learning for reasoning +1
- SpatialMosaic: A Multiview VLM Dataset for Partial VisibilityLLM reasoning → Spatial and embodied reasoning +1
- A Stepwise-Enhanced Reasoning Framework for Large Language Models Based on External Subgraph GenerationLLM reasoning → Knowledge- and tool-augmented reasoning
- ISOPO: Proximal policy gradients without pi-oldDeep reinforcement learning methods → RL theory and sample complexity
- AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous AgentsLLM agents and tool use → Agent memory systems
- CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial ObservationsLLM reasoning → Spatial and embodied reasoning
- RobustMask: Certified Robustness against Adversarial Neural Ranking Attack via Randomized MaskingRetrieval-augmented generation → Privacy and security of RAG
- MedGemma vs GPT-4: Open-Source and Proprietary Zero-shot Medical Disease Classification from ImagesMultimodal LLMs / vision-language models → Medical vision-language models
- AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent CollaborationLLM agents and tool use → Multimodal and embodied agents
- Agentic Physical AI toward a Domain-Specific Foundation Model for Energy Systems: A Case Study on Nuclear Reactor ControlLLM reasoning → Spatial and embodied reasoning +1
- Flow2GAN: Hybrid Flow Matching and GAN with Multi-Resolution Network for Few-step High-Fidelity Audio GenerationDiffusion models → Audio, speech and music
- YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time DetectionMixture-of-experts → Vision mixture-of-experts
- On the Inverse Flow Matching Problem in the One-Dimensional and Gaussian CasesDiffusion models → Flow matching, time series and science
- Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace AdaptationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error MinimizationDiffusion models → Diffusion foundations and sampling
- ASemConsist: Adaptive Semantic Feature Control for Training-Free Identity-Consistent GenerationDiffusion models → Image generation, text-to-image and editing
- RAH-VLA: Resolution-Adaptive Hierarchical Vision-Language Alignment for Multimodal Remote Sensing UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at MetaLLM agents and tool use → Software engineering coding agents
- SURE Guided Posterior Sampling: Trajectory Correction for Diffusion-Based Inverse ProblemsDiffusion models → Inverse problems and image restoration
- A Human-Oriented Cooperative Driving Approach: Integrating Driving Intention, State, and ConflictEnd-to-end autonomous driving → Cooperative and V2X driving
- MM-UAVBench: How Well Do Multimodal Large Language Models See, Think, and Plan in Low-Altitude UAV Scenarios?LLM reasoning → Spatial and embodied reasoning +1
- Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review ProcessLLM reasoning → Reasoning benchmarks and evaluation
- Task-oriented Learnable Diffusion Timesteps for Universal Few-shot Learning of Dense TasksDiffusion models → Diffusion foundations and sampling
- From Model Choice to Model Belief: Establishing a New Measure for LLM-Based ResearchSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal GenerationWorld models → World models for autonomous driving +1
- EquaCode: A Multi-Strategy Jailbreak Approach for Large Language Models via Equation Solving and Code CompletionLLM safety and security → Jailbreaking
- Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated LearningLLM safety and security → Federated unlearning and poisoning
- REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment EvaluationLLM reasoning → Multimodal reasoning +1
- SPIRAL: Symbolic LLM Planning via Grounded and Reflective SearchLLM reasoning → Reasoning for agents, planning and code
- Cosmos-H-Surgical: Learning Surgical Robot Policies from Videos via World ModelingWorld models → Medical and surgical world models +1
- Multi-Agent Framework for Threat Mitigation and Resilience in AI-Based SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- It's a TRAP! Task-Redirecting Agent Persuasion Benchmark for Web AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- InSPO: Unlocking Intrinsic Self-Reflection for LLM Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Althea: The Fact-Checking--Metalearning Tradeoff in AI-Assisted Verification
- BIRD: A Museum Open Dataset Combining Behavior Patterns and Identity Types to Better Model Visitors' Experience
- Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models
- An Empirical Analysis of Fine-Tuning Large Language Models on Bioinformatics Literature: PRSGPT and BioStarsGPT
- Discrete Semantic States and Hamiltonian Dynamics in LLM Embedding Spaces
- Benchmarking Cross-Lingual Semantic Alignment in Multilingual Embeddings
- Geometric Patterns of Meaning: A PHATE Manifold Analysis of Multi-lingual Embeddings
- OptFormer: Optical Flow-Guided Attention and Phase Space Reconstruction for SST Forecasting
- One if by Land, Two if by Sea, Three if by Four Seas, and More to Come -- Values of Perception, Prediction, Communication, and Common Sense in Decision Making
- Jamming Detection in Cell-Free MIMO with Dynamic Graphs
All 272
- La norme technique comme catalyseur de transfert de connaissances : la francophonie a l'oeuvre dans le domaine de l''education
- HyperTopo-Adapters: Geometry- and Topology-Aware Segmentation of Leaf Lesions on Frozen Encoders
- Evolving Cognitive Architectures
- A Quantum Model for Constrained Markowitz Modern Portfolio Using Slack Variables to Process Mixed-Binary Optimization under QAOA
- AI-Native Integrated Sensing and Communications for Self-Organizing Wireless Networks: Architectures, Learning Paradigms, and System-Level Design
- Comment on: Your Brain on ChatGPT: Accumulation of Cognitive Debt When Using an AI Assistant for Essay Writing Tasks
- Physically-Constrained Autoencoder-Assisted Bayesian Optimization for Refinement of High-Dimensional Defect-Sensitive Single Crystalline Structure
- Motion-Compensated Latent Semantic Canvases for Visual Situational Awareness on Edge
- FedSCAM (Federated Sharpness-Aware Minimization with Clustered Aggregation and Modulation): Scam-resistant SAM for Robust Federated Optimization in Heterogeneous Environments
- Autonomous battery research: Principles of heuristic operando experimentation
- EdgeJury: Cross-Reviewed Small-Model Ensembles for Truthful Question Answering on Serverless Edge Inference
- You Only Need Your Transformer 25% of the Time: Meaning-First Execution for Eliminating Unnecessary Inference
- Enhancing Temporal Awareness in LLMs for Temporal Point Processes
- From Clay to Code: Typological and Material Reasoning in AI Interpretations of Iranian Pigeon Towers
- Scaling Remote Sensing Foundation Models: Data Domain Tradeoffs at the Peta-Scale
- Efficient Deep Learning for Short-Term Solar Irradiance Time Series Forecasting: A Benchmark Study in Ho Chi Minh City
- MRI-to-CT Synthesis With Cranial Suture Segmentations Using A Variational Autoencoder Framework
- How Large Language Models Systematically Misrepresent American Climate Opinions
- Autoregressive long-horizon prediction of plasma edge dynamics
- Probing the Limits of Compressive Memory: A Study of Infini-Attention in Small-Scale Pretraining
- Lifelong Domain Adaptive 3D Human Pose Estimation
- Seeking Late Night Life Lines: Experiences of Conversational AI Use in Mental Health Crisis
- Trellis: Learning to Compress Key-Value Memory in Attention Models
- TinyHistory: Lightweight Video History Embeddings via Two-Stage Context Learning
- The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
- Security Without Detection: Economic Denial as a Primitive for Edge and IoT Defense
- Detecting Lookahead Bias in LLM Forecasts
- Explaining News Bias Detection: A Comparative SHAP Analysis of Transformer Model Decision Mechanisms
- Artificial Intelligence for All? Brazilian Teachers on Ethics, Equity, and the Everyday Challenges of AI in Education
- Exploiting the Prior of Generative Time Series Imputation
- Deep learning methods for inverse problems using connections between proximal operators and Hamilton-Jacobi equations
- MS-SSM: A Multi-Scale State Space Model for Efficient Sequence Modeling
- Video-Based Performance Evaluation for ECR Drills in Synthetic Training Environments
- Energy-Tweedie: Score meets Score, Energy meets Energy
- Quantum Error Mitigation with Attention Graph Transformers for Burgers Equation Solvers on NISQ Hardware
- StressRoBERTa: Cross-Condition Transfer Learning from Depression, Anxiety, and PTSD to Stress Detection
- Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems
- MiMo-Audio: Audio Language Models are Few-Shot Learners
- Fitted Q-Evaluation without Bellman Completeness via Occupancy Weighting
- TabMixNN: A Unified Deep Learning Framework for Structural Mixed Effects Modeling on Tabular Data
- Bridging the Ex-Vivo to In-Vivo Gap: Synthetic Priors for Monocular Depth Estimation in Specular Surgical Environments
- Prompt-Induced Over-Generation as Denial-of-Service: A Black-Box Attack-Side Benchmark
- A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms
- Uncovering Discrimination Clusters: Quantifying and Explaining Systematic Fairness Violations
- Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics
- A Granular Grassmannian Clustering Framework via the Schubert Variety of Best Fit
- Exploring Cumulative Effects in Survival Data Using Deep Learning Networks
- Training AI Co-Scientists Using Rubric Rewards
- Eliciting Behaviors in Multi-Turn Conversations
- PROFASR-BENCH: A Benchmark for Context-Conditioned ASR in High-Stakes Professional Speech
- End-to-End Test-Time Training for Long Context
- Calibrated Multi-Level Quantile Forecasting
- Random Controlled Differential Equations
- MVID: Feed-Forward Multi-View Intrinsic Image Decomposition
- Less is more: Probabilistic reduction is best explained by small-scale predictability measures
- RoboMirror: Understand Before You Imitate for Video to Humanoid Locomotion
- Simultaneous Approximation of the Score Function and Its Derivatives by Deep Neural Networks
- A Dataset and Benchmark for Consumer Healthcare Question Summarization
- Rethinking the Spatio-Temporal Alignment of End-to-End 3D Perception
- AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms
- Memorization in 3D Shape Generation: An Empirical Study
- Regret-Based Federated Causal Discovery with Unknown Interventions
- Physics-Informed Neural Networks for Device and Circuit Modeling: A Case Study of NeuroSPICE
- Le Cam Distortion: A Decision-Theoretic Framework for Robust Transfer Learning
- Marriage Discourse on Chinese Social Media: An LLM-assisted Analysis
- Distribution-Free Process Monitoring with Conformal Prediction
- Enhancing Diversity of LLM-Generated Educational Tasks
- Scalable Residual Feature Aggregation Framework with Hybrid Metaheuristic Optimization for Robust Early Pancreatic Neoplasm Detection in Multimodal CT Imaging
- The Nonstationarity-Complexity Tradeoff in Return Prediction
- Detection Fire in Camera RGB-NIR
- Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models
- ProGuard: Towards Proactive Multimodal Safeguard
- Image Denoising Using Global and Local Circulant Representation
- From geometry to dynamics: Learning overdamped Langevin dynamics from sparse observations with geometric constraints
- Lie to Me: Knowledge Graphs for Robust Hallucination Self-Detection in LLMs
- AnyMS: Bottom-up Attention Decoupling for Layout-guided and Training-free Multi-subject Customization
- EEG-based Graph-guided Domain Adaptation for Robust Cross-Session Emotion Recognition
- Trustworthy Machine Learning under Distribution Shifts
- IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation
- UniHetero: Could Generation Enhance Understanding for Vision-Language-Model at Large Data Scale?
- Why AI Safety Requires Uncertainty, Incomplete Preferences, and Non-Archimedean Utilities
- Automatic Detection of Complex Quotation Patterns in Aggadic Literature
- Joint Link Adaptation and Device Scheduling Approach for URLLC Industrial IoT Network: A DRL-based Method with Bayesian Optimization
- ML Compass: Navigating Capability, Cost, and Compliance Trade-offs in AI Model Deployment
- Multi-label Classification with Panoptic Context Aggregation Networks
- FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence
- TV-RAG: A Temporal-aware and Semantic Entropy-Weighted Framework for Long Video Retrieval and Understanding
- Theory of Mind for Explainable Human-Robot Interaction
- Deep classifier kriging for probabilistic spatial prediction of air quality index
- SC-Net: Robust Correspondence Learning via Spatial and Cross-Channel Context
- MCI-Net: A Robust Multi-Domain Context Integration Network for Point Cloud Registration
- Discovering Multi-Scale Semantic Structure in Text Corpora Using Density-Based Trees and LLM Embeddings
- Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators
- Automated river gauge plate reading using a hybrid object detection and generative AI framework in the Limpopo River Basin
- Assessing behaviour coverage in a multi-agent system simulation for autonomous vehicle testing
- Adaptive Fusion Graph Network for 3D Strain Field Prediction in Solid Rocket Motor Grains
- Stochastic Siamese MAE Pretraining for Longitudinal Medical Images
- RealX3D: A Physically-Degraded 3D Benchmark for Multi-view Visual Restoration and Reconstruction
- Fuzzy-Logic and Deep Learning for Environmental Condition-Aware Road Surface Classification
- Distilled HuBERT for Mobile Speech Emotion Recognition: A Cross-Corpus Validation Study
- C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs
- The Effect of Gender Diversity on Scientific Team Impact: A Team Roles Perspective
- Towards Integrating Uncertainty for Domain-Agnostic Segmentation
- A general framework for deep learning
- Entropy-Guided Token Dropout: Training Autoregressive Language Models with Limited Domain Data
- The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis
- Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment
- SOFTooth: Semantics-Enhanced Order-Aware Fusion for Tooth Instance Segmentation
- High-Dimensional Search, Low-Dimensional Solution: Decoupling Optimization from Representation
- Probabilistic Modelling is Sufficient for Causal Inference
- Theoretical Foundations of Scaling Law in Familial Models
- Task-driven Heterophilic Graph Structure Learning
- On the Sample Complexity of Learning for Blind Inverse Problems
- Quantum Intelligence Meets BD-RIS-Enabled AmBC: Challenges, Opportunities, and Practical Insights
- PINNs for Electromagnetic Wave Propagation
- Securing the AI Supply Chain: What Can We Learn From Developer-Reported Security Issues and Solutions of AI Projects?
- A unified framework for detecting point and collective anomalies in operating system logs via collaborative transformers
- NeXT-IMDL: Build Benchmark for NeXT-Generation Image Manipulation Detection & Localization
- MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning
- Post-Training Quantization of OpenPangu Models for Efficient Deployment on Atlas A2
- CountGD++: Generalized Prompting for Open-World Counting
- Finite Topological Space Filtrations: A Topological Framework for Data Analysis
- ECG-RAMBA: Zero-Shot ECG Generalization by Morphology-Rhythm Disentanglement and Long-Range Modeling
- The Law of Multi-Model Collaboration: Scaling Limits of Model Ensembling for Large Language Models
- Visual Language Hypothesis
- CME-CAD: Heterogeneous Collaborative Multi-Expert Reinforcement Learning for CAD Code Generation
- Deep learning for pedestrians: backpropagation in Transformers
- On Conformant Planning and Model-Checking of exists^*forall^* Hyperproperties
- PCR-ORB: Enhanced ORB-SLAM3 with Point Cloud Refinement Using Deep Learning-Based Dynamic Object Filtering
- Explainable Neural Inverse Kinematics for Obstacle-Aware Robotic Manipulation: A Comparative Analysis of IKNet Variants
- Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL
- Spectral Analysis of Hard-Constraint PINNs: The Spatial Modulation Mechanism of Boundary Functions
- Multi-Track Multimodal Learning on iMiGUE: Micro-Gesture and Emotion Recognition
- Revealing design archetypes and flexibility in e-molecule import pathways using Modeling to Generate Alternatives and interpretable machine learning
- Chinese Morph Resolution in E-commerce Live Streaming Scenarios
- PFed-Signal: An ADR Prediction Model based on Federated Learning
- Contour Information Aware 2D Gaussian Splatting for Image Representation
- ViLaCD-R1: A Vision-Language Framework for Semantic Change Detection in Remote Sensing
- RS-Prune: Training-Free Data Pruning at High Ratios for Efficient Remote Sensing Diffusion Foundation Models
- FairGFL: Privacy-Preserving Fairness-Aware Federated Learning with Overlapping Subgraphs
- Edge-Aware and Content-Adaptive Infrared Gas Leak Detection for Industrial Safety Monitoring
- Anomaly Detection by Effectively Leveraging Synthetic Images
- Bridging Your Imagination with Audio-Video Generation via a Unified Director
- Holi-DETR: Holistic Fashion Item Detection Leveraging Contextual Information
- TCEval: Using Thermal Comfort to Assess Cognitive and Perceptual Abilities of AI
- AVOID: The Adverse Visual Conditions Dataset with Obstacles for Driving Scene Understanding
- Anka: A Domain-Specific Language for Reliable LLM Code Generation
- Exploring Syn-to-Real Domain Adaptation for Military Target Detection
- Not too long do read: Evaluating LLM-generated extreme scientific summaries
- Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing
- ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis
- PGOT: A Physics-Geometry Operator Transformer for Complex PDEs
- A Simple, Optimal and Efficient Algorithm for Online Exp-Concave Optimization
- EIR: Enhanced Image Representations for Medical Report Generation
- Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis
- Machine Learning-Assisted Vocal Cord Ultrasound Examination: Project VIPR
- GVSynergy-Det: Synergistic Gaussian-Voxel Representations for Multi-View 3D Object Detection
- HELM-BERT: A Transformer for Medium-sized Peptide Property Prediction
- Evaluating Parameter Efficient Methods for RLVR
- Why We Need a New Framework for Emotional Intelligence in AI
- Diffusion-based Decentralized Federated Multi-Task Representation Learning
- A Weak Signal Learning Dataset and Its Baseline Method
- Constraint programming model and biased random-key genetic algorithm for the single-machine coupled task scheduling problem with exact delays to minimize the makespan
- GeoTeacher: Geometry-Guided Semi-Supervised 3D Object Detection
- Reservoir Computing inspired Matrix Multiplication-free Language Model
- An Inference-Based Architecture for Intent and Affordance Saturation in Decision-Making
- Domain-Shift Immunity in Deep Deformable Registration via Local Feature Representations
- Why Machine Learning Models Systematically Underestimate Extreme Values II: How to Fix It with LatentNN
- Graph Neural Networks with Transformer Fusion of Brain Connectivity Dynamics and Tabular Data for Forecasting Future Tobacco Use
- Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
- SE-MLP Model for Predicting Prior Acceleration Features in Penetration Signals
- PathoSyn: Imaging-Pathology MRI Synthesis via Disentangled Deviation Diffusion