Papers
Thu 14 Aug 2025
343 papers
- 3D latent diffusion models for parameterizing and history matching multiscenario facies systemsDiffusion models → Flow matching, time series and science
- Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent CollaborationLLM agents and tool use → Web, search, and research agents
- Vocabulary Expansion of Large Language Models via Kullback-Leibler-Based Self-DistillationKnowledge distillation → Knowledge distillation for LLMs
- REAL: REtrieval-reAsoning and Logic-constructed Attention Behaviors for Long-Context KV Cache CompressionLLM reasoning → Test-time compute and efficient thinking +1
- ALAS: Autonomous Learning Agent for Self-Updating Language ModelsLLM agents and tool use → Web, search, and research agents
- ReportBench: Evaluating Deep Research Agents via Academic Survey TasksLLM agents and tool use → Web, search, and research agents
- MAC: A Live Benchmark for Multimodal Large Language Models in Scientific UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Physics-Informed Reward MachinesDeep reinforcement learning methods → Interpretable and logic-guided RL
- MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing AgentsLLM agents and tool use → Multimodal and embodied agents
- Towards Reliable Multi-Agent Systems for Marketing Applications via Reflection, Memory, and PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Diffusion is a code repair operator and generatorDiffusion models → Discrete and text diffusion
- HierOctFusion: Multi-scale Octree-based 3D Shape Generation via Part-Whole-Hierarchy Message PassingDiffusion models → 3D, point cloud and scene generation
- Utilizing Vision-Language Models as Action Models for Intent Recognition and AssistanceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Hell or High Water: Evaluating Agentic Recovery from External FailuresLLM agents and tool use → General LLM agent frameworks and benchmarks
- Can Multi-modal (reasoning) LLMs detect document manipulation?LLM reasoning → Multimodal reasoning +1
- CURE: Critical-Token-Guided Re-Concatenation for Entropy-Collapse PreventionLLM reasoning → Reinforcement learning for reasoning
- Are Large Pre-trained Vision Language Models Effective Construction Safety Inspectors?Multimodal LLMs / vision-language models → Chart understanding and anomaly detection
- SproutBench: A Benchmark for Safe and Ethical Large Language Models for YouthLLM safety and security → Safety alignment, refusal and guardrails
- 3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm ManipulationDiffusion models → Diffusion and flow policies for robotics +1
- Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time ScalingLLM reasoning → Diffusion reasoning and test-time scaling +1
- Match & Choose: Model Selection Framework for Fine-tuning Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- MCP-Guard: A Multi-Stage Defense-in-Depth Framework for Securing Model Context Protocol in Agentic AILLM agents and tool use → Agent threats, guardrails and governance +1
- BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale PretrainingSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Failures to Surface Harmful Contents in Video Large Language ModelsLLM safety and security → Vision-language and text-to-image safety
- Not There Yet: Evaluating Vision Language Models in Simulating the Visual Perception of People with Low VisionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Retro-Expert: Collaborative Reasoning for Interpretable RetrosynthesisLLM reasoning → Clinical and biomedical applications
- A Study of Commonsense Reasoning over Visual Object PropertiesLLM reasoning → Multimodal reasoning
- Empowering Multimodal LLMs with External Tools: A Comprehensive SurveyMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Searching for Privacy Risks in LLM Agents via SimulationLLM agents and tool use → Agent threats, guardrails and governance
- A Survey on Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- SSRL: Self-Search Reinforcement LearningLLM agents and tool use → Web, search, and research agents +1
- TLE-Based A2C Agent for Terrestrial Coverage Orbital Path PlanningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Performance of GPT-5 in Brain Tumor MRI ReasoningLLM reasoning → Clinical and biomedical applications
- Hierarchical Fine-grained Preference Optimization for Physically Plausible Video GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and ReasoningLLM reasoning → Clinical and biomedical applications
- UI-Venus Technical Report: Building High-performance UI Agents with RFTLLM agents and tool use → GUI and mobile agents
- Object Fidelity Diffusion for Remote Sensing Image GenerationDiffusion models → Inverse problems and image restoration
- Ultra-High-Definition Reference-Based Landmark Image Super-Resolution with Generative Diffusion PriorDiffusion models → Inverse problems and image restoration
- The Knowledge-Reasoning Dissociation: Fundamental Limitations of LLMs in Clinical Natural Language InferenceLLM reasoning → Clinical and biomedical applications
- BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video GenerationDiffusion models → Video generation
- AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video SequencesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- From Diagnosis to Improvement: Probing Spatio-Physical Reasoning in Vision Language ModelsWorld models → World models for language agents +2
- Modeling Human Responses to Multimodal AI ContentLLM agents and tool use → Social simulation and multi-agent debate
- FROGENT: An End-to-End Full-process Drug Design Multi-Agent SystemLLM agents and tool use → Medical and scientific domain agents
- Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
- Scaling Up without Fading Out: Goal-Aware Sparse GNN for RL-based Generalized PlanningDeep reinforcement learning methods → Deep RL algorithms and representations
- Agentic Design Review SystemLLM agents and tool use → Multimodal and embodied agents
- Thinking Inside the Mask: In-Place Prompting in Diffusion LLMsLLM reasoning → Prompting and chain-of-thought reasoning +1
- EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question AnsweringMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at ScaleDiffusion models → Image generation, text-to-image and editing
- CountCluster: Training-Free Object Quantity Guidance with Cross-Attention Map Clustering for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Novel View Synthesis using DDIM InversionDiffusion models → 3D, point cloud and scene generation
- MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal ControlDiffusion models → Diffusion foundations and sampling
- IADGPT: Unified LVLM for Few-Shot Industrial Anomaly Detection, Localization, and Reasoning via In-Context LearningLLM reasoning → Chain-of-thought reasoning for driving
- Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset GenerationDiffusion models → Image generation, text-to-image and editing +1
- AddressVLM: Cross-view Alignment Tuning for Image Address Localization using Large Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SemPT: Semantic Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario SimulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Variance Reduced Policy Gradient Method for Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Adaptive Multi-Subspace Representation Steering for Attribute Alignment in Large Language ModelsMechanistic interpretability → Activation steering methods
- HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses through Reasoning MLLMsLLM reasoning → Multimodal reasoning +1
- Towards Agentic AI for Multimodal-Guided Video Object SegmentationLLM agents and tool use → Multimodal and embodied agents
- SpaRC-AD: A Baseline for Radar-Camera Fusion in End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Retrieval-Augmented Prompt for OOD DetectionRetrieval-augmented generation → Privacy and security of RAG
- eDIF: A European Deep Inference Fabric for Remote Interpretability of LLMMechanistic interpretability → Knowledge and representations inside LLMs
- When Language Overrules: Revealing Text Dominance in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- PSScreen: Partially Supervised Multiple Retinal Disease ScreeningKnowledge distillation → Distillation for medical imaging
- Stabilizing Long-term Multi-turn Reinforcement Learning with Gated RewardsDeep reinforcement learning methods → RL training of language and agent models
- Projected Coupled Diffusion for Test-Time Constrained Joint GenerationDiffusion models → Diffusion foundations and sampling
- Is On-Policy Data always the Best Choice for Direct Preference Optimization-based LM Alignment?LLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Reasoning in Computer Vision: Taxonomy, Models, Tasks, and MethodologiesLLM reasoning → Multimodal reasoning +1
- Nonlocal Monte Carlo via Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- KDPE: A Kernel Density Estimation Strategy for Diffusion Policy Trajectory SelectionDiffusion models → Diffusion and flow policies for robotics
- PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray ReasoningLLM reasoning → Clinical and biomedical applications +1
- TweezeEdit: Consistent and Efficient Image Editing with Path RegularizationDiffusion models → Image generation, text-to-image and editing
- A Unified Multi-Agent Framework for Universal Multimodal Understanding and GenerationDiffusion models → Image generation, text-to-image and editing +1
- Learning State-Space Models of Dynamic Systems from Arbitrary Data using Joint Embedding Predictive ArchitecturesWorld models → Latent predictive world models
- Trajectory-aware Shifted State Space Models for Online Video Super-ResolutionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- DiFaR: Enhancing Multimodal Misinformation Detection with Diverse, Factual, and Relevant RationalesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical ReasoningLLM reasoning → Multimodal reasoning +1
- SC2Arena and StarEvolve: Benchmark and Self-Improvement Framework for LLMs in Complex Decision-Making TasksSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving ScenesLLM reasoning → Chain-of-thought reasoning for driving +2
- NanoControl: A Lightweight Framework for Precise and Efficient Control in Diffusion TransformerDiffusion models → Image generation, text-to-image and editing
- ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation ModelVision-language-action models → Generalist VLA models and benchmarks
- Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text GenerationLLM safety and security → Jailbreaking +1
- PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- XQuant: Breaking the Memory Wall for LLM Inference with KV Cache RematerializationEfficient LLM inference and serving → KV cache quantization
- LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical RetrievalRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful PromptsLLM reasoning → Reasoning for agents, planning and code +1
- Towards Spatially Consistent Image Generation: On Incorporating Intrinsic Scene Properties into Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Few-shot Vision-based Human Activity Recognition with MLLM-based Visual Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- eMamba: Efficient Acceleration Framework for Mamba Models in Edge ComputingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Contrast Sensitivity in Multimodal Large Language Models: A Psychophysics-Inspired EvaluationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup PuzzlesLLM reasoning → Reasoning benchmarks and evaluation
- Making Qwen3 Think in Korean with Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- A Curriculum Learning Approach to Reinforcement Learning: Leveraging RAG for Multimodal Question AnsweringDeep reinforcement learning methods → RL training of language and agent models
- ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot PerceiverVision-language-action models → Generalist VLA models and benchmarks
All 343
- Integrating Reinforcement Learning with Visual Generative Models: Foundations and AdvancesDeep reinforcement learning methods → RL with diffusion and flow models
- A Vision-Language Pre-training Model-Guided Approach for Mitigating Backdoor Attacks in Federated LearningLLM safety and security → Federated unlearning and poisoning
- Cross-view Generalized Diffusion Model for Sparse-view CT ReconstructionDiffusion models → Medical imaging and segmentation
- ReviewRL: Towards Automated Scientific Review with RLDeep reinforcement learning methods → RL training of language and agent models
- Promoting Efficient Reasoning with Verifiable Stepwise RewardLLM reasoning → Test-time compute and efficient thinking
- JRDB-Reasoning: A Difficulty-Graded Benchmark for Visual Reasoning in RoboticsLLM reasoning → Spatial and embodied reasoning +1
- Why Cannot Large Language Models Ever Make True Correct Reasoning?LLM reasoning → Reasoning benchmarks and evaluation
- MRFD: Multi-Region Fusion Decoding with Self-Consistency for Mitigating Hallucinations in LVLMsLLM reasoning → Hallucination detection and mitigation +1
- Pruning and Malicious Injection: A Retraining-Free Backdoor Attack on Transformer ModelsLLM safety and security → Backdoor and data poisoning attacks
- cuAPO: A CUDA-based Parallelization of Artificial Protozoa Optimizer
- A Unified Theory of Language
- Data and Context Matter: Towards Generalizing AI-based Software Vulnerability Detection
- The GPT-4o Shock Emotional Attachment to AI Models and Its Impact on Regulatory Acceptance: A Cross-Cultural Analysis of the Immediate Transition from GPT-4o to GPT-5
- RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
- STRelay: A Universal Spatio-Temporal Relaying Framework for Location Prediction over Human Trajectory Data
- Uplifted Attackers, Human Defenders: The Cyber Offense-Defense Balance for Trailing-Edge Organizations
- Logical Expressivity and Explanations for Monotonic GNNs with Scoring Functions
- DLLMQuant: Quantizing Diffusion-based Large Language Models
- Systematic FAIRness Assessment of Open Voice Biomarker Datasets for Mental Health and Neurodegenerative Diseases
- Colon Polyps Detection from Colonoscopy Images Using Deep Learning
- "Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
- BERT-VQA: Visual Question Answering on Plots
- Are AI Machines Making Humans Obsolete?
- Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2)
- Benchmark Dataset Generation and Evaluation for Excel Formula Repair with LLMs
- Enhancing GraphQL Security by Detecting Malicious Queries Using Large Language Models, Sentence Transformers, and Convolutional Neural Networks
- Code Vulnerability Detection Across Different Programming Languages with AI Models
- Navigating the New Landscape: A Conceptual Model for Project-Based Assessment (PBA) in the Age of GenAI
- Street Review: A Participatory AI-Based Framework for Assessing Streetscape Inclusivity
- +VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking
- Tabularis Formatus: Predictive Formatting for Tables
- PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing
- UWB-PostureGuard: A Privacy-Preserving RF Sensing System for Continuous Ergonomic Sitting Posture Monitoring
- Quantization through Piecewise-Affine Regularization: Optimization and Statistical Guarantees
- Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendation
- Predictive Multimodal Modeling of Diagnoses and Treatments in EHR
- Compressive Meta-Learning
- Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
- A learning-driven automatic planning framework for proton PBS treatments of H&N cancers
- A Feasibility Experiment on the Application of Predictive Coding to Instant Messaging Corpora
- Abundance-Aware Set Transformer for Microbiome Sample Embedding
- LD-LAudio-V1: Video-to-Long-Form-Audio Generation Extension with Dual Lightweight Adapters
- Your Recourse, My Loss? Algorithmic Recourse under Shared Constraints
- Functional Analysis of Variance for Association Studies
- Approaching the Source of Symbol Grounding with Confluent Reductions of Abstract Meaning Representation Directed Graphs
- Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts
- Human-in-the-Loop Systems for Adaptive Learning Using Generative AI
- BIPOLAR: Polarization-based granular framework for LLM bias evaluation
- Counterfactual Survival Q-learning via Buckley-James Boosting, with Applications to ACTG 175 and CALGB 8923
- Advancing 3D Scene Understanding with MV-ScanQA Multi-View Reasoning Evaluation and TripAlign Pre-training Dataset
- SHLIME: Foiling adversarial attacks fooling SHAP and LIME
- AI That Helps Us Help Each Other: A Proactive System for Scaffolding Mentor-Novice Collaboration in Entrepreneurship Coaching
- Conditional Independence Estimates for the Generalized Nonparanormal
- Learning with Confidence
- Note on Selection Bias in Observational Estimates of Algorithmic Progress
- MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
- Risk-Based Prognostics and Health Management
- Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
- Quantization vs Pruning: Insights from the Strong Lottery Ticket Hypothesis
- Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics
- Deep Learning-Based Automated Segmentation of Uterine Myomas
- Grounding Rule-Based Argumentation Using Datalog
- Rule2Text: A Framework for Generating and Evaluating Natural Language Explanations of Knowledge Graph Rules
- Multi-fidelity batch Bayesian optimization for bioprocess development across scales
- EVCtrl: Efficient Control Adapter for Visual Generation
- CSNR and JMIM Based Spectral Band Selection for Reducing Metamerism in Urban Driving
- UniPrompt-CL: Sustainable Continual Learning in Medical AI with Unified Prompt Pools
- Quantum Visual Fields with Neural Amplitude Encoding
- A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
- Puppeteer: Rig and Animate Your 3D Models
- Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning
- ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning
- MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
- STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
- Conic Formulations of Transport Metrics for Unbalanced Measure Networks and Hypernetworks
- Empirical Investigation into Configuring Echo State Networks for Representative Benchmark Problem Domains
- ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing
- An Iterative Algorithm for Differentially Private k-PCA with Adaptive Noise
- Medico 2025: Visual Question Answering for Gastrointestinal Imaging
- TexVerse: A Universe of 3D Objects with High-Resolution Textures
- Efficiently Verifiable Proofs of Data Attribution
- From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms
- From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals
- Performance of universal machine-learned potentials with explicit long-range interactions in biomolecular simulations
- Generalizable Federated Learning using Client Adaptive Focal Modulation
- Reinforced Language Models for Sequential Decision Making
- MAGIC: Learning from Visibility Asymmetry for Unsupervised Stereo Matching
- SoK: Data Minimization in Machine Learning
- A Multimodal Neural Network for Recognizing Subjective Self-Disclosure Towards Social Robots
- Accelerating exoplanet climate modelling: A machine learning approach to complement 3D GCM grid simulations
- Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures
- Mobile-Friendly Deep Learning for Plant Disease Detection: A Lightweight CNN Benchmark Across 101 Classes of 33 Crops
- Comparison of Data Reduction Criteria for Online Gaussian Processes
- Parity Cross-Resonance: A Multiqubit Gate
- Who Benefits from AI Explanations? Towards Accessible and Interpretable Systems
- Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee
- The SET Perceptual Factors Framework: Towards Assured Perception for Autonomous Systems
- When Experts Disagree: Characterizing Annotator Variability for Vessel Segmentation in DSA Images
- Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback
- VasoMIM: Vascular Anatomy-Aware Masked Image Modeling for Vessel Segmentation
- Cooperative Face Liveness Detection from Optical Flow
- Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
- Insights from the Algonauts 2025 Winners
- Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling
- Estimating Covariance for Global Minimum Variance Portfolio: A Decision-Focused Learning Approach
- IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data
- Memorisation and forgetting in a learning Hopfield neural network: bifurcation mechanisms, attractors and basins
- Natively Trainable Sparse Attention for Hierarchical Point Cloud Datasets
- An Efficient Model-Driven Groupwise Approach for Atlas Construction
- Forgery Guided Learning Strategy with Dual Perception Network for Deepfake Cross-domain Detection
- Axis-level Symmetry Detection with Group-Equivariant Representation
- Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025
- APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
- Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction
- Exploiting Discriminative Codebook Prior for Autoregressive Image Generation
- Symmetry-Constrained Multi-Scale Physics-Informed Neural Networks for Graphene Electronic Band Structure Prediction
- ViewBridge:Revisiting Cross-View Localization from Image Matching
- Electromagnetic Simulations of Antennas on GPUs for Machine Learning Applications
- Lightweight CNNs for Embedded SAR Ship Target Detection and Classification
- Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios
- GenOM: Ontology Matching with Description Generation and Large Language Model
- REFN: A Reinforcement-Learning-From-Network Framework against 1-day/n-day Exploitations
- Learning from Natural Language Feedback for Personalized Question Answering
- Continuous Bangla Sign Language Translation: Mitigating the Expense of Gloss Annotation with the Assistance of Graph
- Neural Machine Translation for Coptic-French: Strategies for Low-Resource Ancient Languages
- Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping
- HyperTea: A Hypergraph-based Temporal Enhancement and Alignment Network for Moving Infrared Small Target Detection
- Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence
- STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation
- Deep Learning in Classical and Quantum Physics
- Serial Over Parallel: Learning Continual Unification for Multi-Modal Visual Object Tracking and Benchmarking
- Graph Learning via Logic-Based Weisfeiler-Leman Variants and Tabularization
- Geospatial Diffusion for Land Cover Imperviousness Change Forecasting
- SPHENIC: Topology-Aware Multi-View Clustering for Spatial Transcriptomics
- Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection
- Lameness detection in dairy cows using pose estimation and bidirectional LSTMs
- A Guide to Bayesian Optimization in Bioprocess Engineering
- Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
- Increasing the Utility of Synthetic Images through Chamfer Guidance
- Nonlinear filtering based on density approximation and deep BSDE prediction
- Energy-Based Models for Predicting Mutational Effects on Proteins
- Beyond Random Sampling: Instance Quality-Based Data Partitioning via Item Response Theory
- FIND-Net -- Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
- Fourier-Guided Attention Upsampling for Image Super-Resolution
- DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality
- Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving
- Oops!... They Stole it Again: Attacks on Split Learning
- On Spectral Properties of Gradient-based Explanation Methods
- FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
- Self-Supervised Temporal Super-Resolution of Energy Data using Generative Adversarial Transformer
- GNN-based Unified Deep Learning
- EvTurb: Event Camera Guided Turbulence Removal
- Technical Report: Facilitating the Adoption of Causal Inference Methods Through LLM-Empowered Co-Pilot
- Multi-Receptive Field Ensemble with Cross-Entropy Masking for Class Imbalance in Remote Sensing Change Detection
- HM-Talker: Hybrid Motion Modeling for High-Fidelity Talking Head Synthesis
- Reproducible Physiological Features in Affective Computing: A Preliminary Analysis on Arousal Modeling
- Fake Speech Wild: Detecting Deepfake Speech on Social Media Platform
- PTQAT: A Hybrid Parameter-Efficient Quantization Algorithm for 3D Perception Tasks
- A Differentiable Framework for Full and Phaseless Data Inversion Using Neural Implicit Contrast-Source Representation
- AR Surgical Navigation with Surface Tracing: Comparing In-Situ Visualization with Tool-Tracking Guidance for Neurosurgical Applications
- Beyond Global Scanning: Adaptive Visual State Space Modeling for Salient Object Detection in Optical Remote Sensing Images
- Driving Accurate Allergen Prediction with Protein Language Models and Generalization-Focused Evaluation
- Improving Value-based Process Verifier via Low-Cost Variance Reduction
- Mitigating Exponential Mixed Frequency Growth through Frequency Selection
- Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset
- EgoMusic-driven Human Dance Motion Estimation with Skeleton Mamba
- Virtual Sensing for Solder Layer Degradation and Temperature Monitoring in IGBT Modules
- A Segmentation-driven Editing Method for Bolt Defect Augmentation and Detection
- Multi-Sample Anti-Aliasing and Constrained Optimization for 3D Gaussian Splatting
- Advances in Logic-Based Entity Resolution: Enhancing ASPEN with Local Merges and Optimality Criteria
- Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model
- Contrastive ECOC: Learning Output Codes for Adversarial Defense
- On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
- SEQ-GPT: LLM-assisted Spatial Query via Example
- When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing
- Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers
- Confounding is a Pervasive Problem in Real World Recommender Systems
- EDAPT: Towards Calibration-Free BCIs with Continual Online Adaptation
- STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images
- GraphFedMIG: Tackling Class Imbalance in Federated Graph Learning via Mutual Information-Guided Generation
- Enhanced Sparse Point Cloud Data Processing for Privacy-aware Human Action Recognition
- FIRESPARQL: A LLM-based Framework for SPARQL Query Generation over Scholarly Knowledge Graphs
- SingleStrip: learning skull-stripping from a single labeled example
- X-Node: Self-Explanation is All We Need
- Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching
- Multi-Label Plant Species Prediction with Metadata-Enhanced Multi-Head Vision Transformers
- RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations
- From Images to Perception: Emergence of Perceptual Properties by Reconstructing Images
- SkeySpot: Automating Service Key Detection for Digital Electrical Layout Plans in the Construction Industry
- BKP: An R Package for Beta Kernel Process Modeling
- DOD-SA: Infrared-Visible Decoupled Object Detection with Single-Modality Annotations
- Alternating Approach-Putt Models for Multi-Stage Speech Enhancement
- Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
- CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation
- MM-Food-100K: A 100,000-Sample Multimodal Food Intelligence Dataset with Verifiable Provenance
- Computational Economics in Large Language Models: Exploring Model Behavior and Incentive Design under Resource Constraints
- HiRef: Leveraging Hierarchical Ontology and Network Refinement for Robust Medication Recommendation
- MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
- Evaluating LLMs on Chinese Idiom Translation
- MCP2OSC: Parametric Control by Natural Language
- SC-Lane: Slope-aware and Consistent Road Height Estimation Framework for 3D Lane Detection
- Dataset Construction for Training LLM to Learn Analog Circuit Knowledge
- A Unified Evaluation Framework for Multi-Annotator Tendency Learning
- Unlocking Robust Semantic Segmentation Performance via Label-only Elastic Deformations against Implicit Label Noise
- Clicks Versus Conversion: Choosing a Recommender's Training Objective in E-Commerce
- Improving Generative Cross-lingual Aspect-Based Sentiment Analysis with Constrained Decoding
- Large Language Models for Summarizing Czech Historical Documents and Beyond
- Advancing Cross-lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models
- AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging
- Improving OCR for Historical Texts of Multiple Languages
- Cross-Prompt Encoder for Low-Performing Languages
- Glo-UMF: A Unified Multi-model Framework for Automated Morphometry of Glomerular Ultrastructural Characterization
- Semantic Communication with Distribution Learning through Sequential Observations
- FlexP-SFT: A Flexible Aggregation-Free Framework for On-Device Personalized Split Federated Fine-Tuning of LLMs
- A Hierarchical IDS for Zero-Day Attack Detection in Internet of Medical Things Networks
- Welfare-Centric Clustering
- Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach
- Concepts or Skills? Rethinking Instruction Selection for Multi-modal Models
- Online selective conformal inference: adaptive scores, convergence rates and optimality
- Layer-Wise Analysis of Self-Supervised Representations for Age and Gender Classification in Children's Speech
- Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation
- From Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis
- From Pixel to Mask: A Survey of Out-of-Distribution Segmentation
- Efficient Image Denoising Using Global and Local Circulant Representation
- Yet another algorithmic bias: A Discursive Analysis of Large Language Models Reinforcing Dominant Discourses on Gender and Race
- Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
- SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning
- InterSyn: Interleaved Learning for Dynamic Motion Synthesis in the Wild
- Inductive Bias Extraction and Matching for LLM Prompts
- A Mutual-Structure Weighted Sub-Pixel Multimodal Optical Remote Sensing Image Matching Method
- Uncertainty-Aware Prediction of Parkinson's Disease Medication Needs: A Two-Stage Conformal Prediction Approach
- The Conditional Regret-Capacity Theorem for Batch Universal Prediction
- VIFSS: View-Invariant and Figure Skating-Specific Pose Representation Learning for Temporal Action Segmentation
- High Fidelity Text to Image Generation with Contrastive Alignment and Structural Guidance
- Pose-Robust Calibration Strategy for Point-of-Gaze Estimation on Mobile Phones
- DINOMotion: advanced robust tissue motion tracking with DINOv2 in 2D-Cine MRI-guided radiotherapy
- Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach
- Deep Learning for Crack Detection: A Review of Learning Paradigms, Generalizability, and Datasets
- Federated Anomaly Detection for Multi-Tenant Cloud Platforms with Personalized Modeling
- Multi-Agent Reinforcement Learning for Adaptive Resource Orchestration in Cloud-Native Clusters
- Facilitating Longitudinal Interaction Studies of AI Systems
- Convergence Analysis of Max-Min Exponential Neural Network Operators in Orlicz Space
- A Computational Approach to Analyzing Language Change and Variation in the Constructed Language Toki Pona