Papers
Mon 24 Nov 2025
485 papers
- Replication Study: Federated Text-Driven Prompt Generation for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Intelligent Power Grid Design Review via Active Perception-Enabled Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- LiveVectorLake: A Real-Time Versioned Knowledge Base Architecture for Streaming Vector Updates and Temporal RetrievalRetrieval-augmented generation → RAG pipeline design and evaluation
- ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language ModelsLLM reasoning → Test-time compute and efficient thinking
- fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI UnderstandingLLM reasoning → Reasoning benchmarks and evaluation +1
- Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- A Longitudinal Measurement of Privacy Policy Evolution for Large Language ModelsLLM agents and tool use → Agent threats, guardrails and governance
- Dissecting the Ledger: Locating and Suppressing "Liar Circuits" in Financial Large Language ModelsMechanistic interpretability → Probing deception, bias and beliefs
- Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage?Multimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- DualGauge: Automated Joint Security-Functionality Benchmarking of Specification-Only Code Generation by LLMs and Coding AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Solving Diffusion Inverse Problems with Restart Posterior SamplingDiffusion models → Inverse problems and image restoration
- Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease PredictionDiffusion models → Medical imaging and segmentation
- PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic ApproachLLM agents and tool use → Agent threats, guardrails and governance
- Post-Pruning Accuracy Recovery via Data-Free Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Cross Domain Evaluation of Multimodal Chain-of-Thought Reasoning of different datasets into the Amazon CoT FrameworkLLM reasoning → Multimodal reasoning
- Terminal Velocity MatchingDiffusion models → Flow matching, time series and science
- NOEM3A: a Neuro-symbolic Ontology-Enhanced Method for Multi-intent understanding in Mobile AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Phase-Aligned RoPE for Mixed-Resolution Diffusion TransformerDiffusion models → Diffusion foundations and sampling
- Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMsLLM reasoning → Multimodal reasoning +2
- Prune-Then-Plan: Step-Level Calibration for Stable Frontier Exploration in Embodied Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Prompt Fencing: A Cryptographic Approach to Establishing Security Boundaries in Large Language Model PromptsLLM safety and security → Prompt injection and agent security
- Rethinking Vision Transformer Depth via Structural ReparameterizationEfficient LLM inference and serving → Token pruning and merging for ViTs
- A Layered Protocol Architecture for the Internet of AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- INTERLACE: Interleaved Layer Pruning and Efficient Adaptation in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design OptimizationLLM agents and tool use → Software engineering coding agents
- Demystifying Diffusion Objectives: Reweighted Losses are Better Variational BoundsDiffusion models → Diffusion foundations and sampling
- Fara-7B: An Efficient Agentic Model for Computer UseLLM agents and tool use → Web, search, and research agents
- CodeV: Code with Images for Faithful Visual Reasoning via Tool-Aware Policy OptimizationLLM reasoning → Multimodal reasoning +2
- Development of a Testbed for Autonomous Vehicles: Integrating MPC Control with Monocular Camera Lane DetectionEnd-to-end autonomous driving → End-to-end system architecture
- Navigating Gigapixel Pathology Images with Large Multimodal ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Efficient Multi-Hop Question Answering over Knowledge Graphs via LLM Planning and Embedding-Guided SearchLLM reasoning → Knowledge- and tool-augmented reasoning
- On the Utility of Foundation Models for Fast MRI: Vision-Language-Guided Image ReconstructionMultimodal LLMs / vision-language models → Medical vision-language models
- Agint: Agentic Graph Compilation for Software Engineering AgentsLLM agents and tool use → Software engineering coding agents
- Learning Massively Multitask World Models for Continuous ControlWorld models → Latent dynamics models and model-based RL +1
- HunyuanOCR Technical ReportMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- ModHiFi: Identifying High Fidelity predictive components for Model ModificationLLM safety and security → Machine unlearning
- SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model AdaptationDiffusion models → Robustness, privacy and adversarial aspects +2
- Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage AssessmentLLM reasoning → Multimodal reasoning
- Cross-Domain Generalization of Multimodal LLMs for Global Photovoltaic AssessmentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Vidi2.5: Large Multimodal Models for Video Understanding and CreationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated TrajectoriesVision-language-action models → Reinforcement learning and post-training
- Perceptual Taxonomy: Evaluating and Guiding Hierarchical Scene Reasoning in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- VideoChat-M1: Collaborative Policy Planning for Video Understanding via Multi-Agent Reinforcement LearningMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- EAGER: Edge-Aligned LLM Defense for Robust, Efficient, and Accurate Cybersecurity Question AnsweringLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Towards Efficient VLMs: Information-Theoretic Driven Compression via Adaptive Structural PruningMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Automating Deception: Scalable Multi-Turn LLM JailbreaksLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Connecting the Dots: Training-Free Visual Grounding via Agentic ReasoningLLM reasoning → Multimodal reasoning +1
- SCoTER: Structured Chain-of-Thought Transfer for Enhanced RecommendationLLM reasoning → LLM reasoning for recommendation
- VDC-Agent: When Video Detailed Captioners Evolve Themselves via Agentic Self-ReflectionLLM agents and tool use → Multimodal and embodied agents
- Are Image-to-Video Models Good Zero-Shot Image Editors?LLM reasoning → Multimodal reasoning +1
- Breaking the Likelihood-Quality Trade-off in Diffusion Models by Merging Pretrained ExpertsDiffusion models → Diffusion foundations and sampling
- Mixture of Horizons in Action ChunkingVision-language-action models → Efficient VLA inference and adaptation
- Cook and Clean Together: Teaching Embodied Agents for Parallel Task ExecutionLLM agents and tool use → Multimodal and embodied agents
- Beyond Protein Language Models: An Agentic LLM Framework for Mechanistic Enzyme DesignLLM agents and tool use → Medical and scientific domain agents
- Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual TokensLLM reasoning → Multimodal reasoning +1
- Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent CollaborationLLM reasoning → Multimodal reasoning +1
- Learning Robust Social Strategies with Large Language ModelsLLM agents and tool use → Reinforcement learning for LLM agents
- DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep ResearchLLM agents and tool use → Web, search, and research agents +1
- Predicting partially observable dynamical systems via diffusion models with a multiscale inference schemeDiffusion models → Flow matching, time series and science
- Efficiency vs. Fidelity: A Comparative Analysis of Diffusion Probabilistic Models and Flow Matching on Low-Resource HardwareDiffusion models → Flow matching, time series and science
- LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile SystemsLLM agents and tool use → Reinforcement learning for LLM agents
- DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image GenerationDiffusion models → Diffusion foundations and sampling
- Syn-GRPO: Self-Evolving Data Synthesis for MLLM Perception ReasoningLLM reasoning → Reinforcement learning for reasoning +2
- POUR: A Provably Optimal Method for Unlearning Representations via Neural CollapseLLM safety and security → Machine unlearning
- Learning to Reason: Training LLMs with GPT-OSS or DeepSeek R1 Reasoning TracesLLM reasoning → Reasoning benchmarks and evaluation
- Evaluating Dataset Watermarking for Fine-tuning Traceability of Customized Diffusion Models: A Comprehensive Benchmark and Removal ApproachDiffusion models → Robustness, privacy and adversarial aspects +1
- Rethinking Intermediate Representation for VLM-based Robot ManipulationLLM reasoning → Spatial and embodied reasoning +1
- PRInTS: Reward Modeling for Long-Horizon Information SeekingLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- AutoEnv: Automated Environments for Measuring Cross-Environment Agent LearningLLM agents and tool use → Reinforcement learning for LLM agents
- CDLM: Consistency Diffusion Language Models For Faster SamplingDiffusion models → Discrete and text diffusion
- BideDPO: Conditional Image Generation with Simultaneous Text and Condition AlignmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Unboxing the Black Box: Mechanistic Interpretability for Algorithmic Understanding of Neural NetworksMechanistic interpretability → Circuits and mechanistic analysis
- LAST: LeArning to Think in Space and Time for Generalist Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Medical vision-language models +1
- SimDiff: Simpler Yet Better Diffusion Model for Time Series Point ForecastingDiffusion models → Flow matching, time series and science
- MAESTRO: Multi-Agent Environment Shaping through Task and Reward OptimizationLLM agents and tool use → Multimodal and embodied agents
- Learning Plug-and-play Memory for Guiding Video Diffusion ModelsDiffusion models → Video generation
- Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Are Large Vision Language Models Truly Grounded in Medical Images? Evidence from Italian Clinical Visual Question AnsweringMultimodal LLMs / vision-language models → Medical vision-language models
- Adversarial Attack-Defense Co-Evolution for LLM Safety Alignment via Tree-Group Dual-Aware Search and OptimizationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- ReAlign: Text-to-Motion Generation via Step-Aware Reward-Guided AlignmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- LLM-Based Agentic Negotiation for 6G: Addressing Uncertainty Neglect and Tail-Event RiskLLM agents and tool use → Agentic AI for wireless networks
- Can LLMs Threaten Human Survival? Benchmarking Potential Existential Threats from LLMs via Prefix CompletionLLM safety and security → Safety alignment, refusal and guardrails
- RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement ReasoningLLM reasoning → Multimodal reasoning
- First-order Sobolev Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- EEG-VLM: A Hierarchical Vision-Language Model with Multi-Level Feature Alignment and Visually Enhanced Language-Guided Reasoning for EEG Image-Based Sleep Stage PredictionMultimodal LLMs / vision-language models → Medical vision-language models
- Masked Diffusion Models are Secretly Learned-Order Autoregressive ModelsDiffusion models → Discrete and text diffusion
- From Pixels to Posts: Retrieval-Augmented Fashion Captioning and Hashtag GenerationRetrieval-augmented generation → Multimodal RAG
- Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation OptimizationLLM reasoning → Prompting and chain-of-thought reasoning
- When Semantics Regulate: Rethinking Patch Shuffle and Internal Bias for Generated Image Detection with CLIPDiffusion models → Image generation, text-to-image and editing
- MonoSR: Open-Vocabulary Spatial Reasoning from Monocular ImagesLLM reasoning → Spatial and embodied reasoning
- DiffSeg30k: A Multi-Turn Diffusion Editing Benchmark for Localized AIGC DetectionDiffusion models → Image generation, text-to-image and editing
- EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow MatchingDiffusion models → Flow matching, time series and science
- A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective AnalysisLLM agents and tool use → Web, search, and research agents
- GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Beyond Reward Margin: Rethinking and Resolving Likelihood Displacement in Diffusion Models via Video GenerationDiffusion models → Diffusion and flow policies for robotics +1
- Diagnosing Corruption-Induced Reliability Failures in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- OrdMoE: Preference Alignment via Hierarchical Expert Group Ranking in Multimodal Mixture-of-Experts LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +2
- End-to-end Autonomous Vehicle Following System using Monocular Fisheye CameraEnd-to-end autonomous driving → End-to-end system architecture
All 485
- Understanding and Mitigating Over-refusal for Large Language Models via Representation InterventionLLM safety and security → Safety alignment, refusal and guardrails
- A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene GenerationDiffusion models → 3D, point cloud and scene generation
- View-Consistent Diffusion Representations for 3D-Consistent Video GenerationDiffusion models → 3D, point cloud and scene generation
- Dynamic Mixture of Experts Against Severe Distribution ShiftsMixture-of-experts → Mixture of LoRA experts +1
- Zero-shot segmentation of skin tumors in whole-slide images with vision-language foundation modelsMultimodal LLMs / vision-language models → Medical vision-language models
- Synthesizing Visual Concepts as Vision-Language ProgramsLLM reasoning → Multimodal reasoning +1
- AVA-VLA: Improving Vision-Language-Action models with Active Visual AttentionVision-language-action models → Efficient VLA inference and adaptation
- Compressor-VLA: Instruction-Guided Visual Token Compression for Efficient Robotic ManipulationVision-language-action models → Efficient VLA inference and adaptation +1
- VeCoR -- Velocity Contrastive Regularization for Flow MatchingDiffusion models → Flow matching, time series and science
- SWAN: Sparse Winnowed Attention for Reduced Inference Memory via Decompression-Free KV-Cache CompressionEfficient LLM inference and serving → KV cache optimization
- Defending Large Language Models Against Jailbreak Exploits with Responsible AI ConsiderationsLLM safety and security → Jailbreaking
- Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based SearchMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- BackdoorVLM: A Benchmark for Backdoor Attacks and Defenses on Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- EventSTU: Event-Guided Efficient Spatio-Temporal Understanding for Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Learning What to Trust: Bayesian Prior-Guided Optimization for Visual GenerationLLM reasoning → Reinforcement learning for reasoning
- VADE: Variance-Aware Dynamic Sampling via Online Sample-Level Difficulty Estimation for Multimodal RLLLM reasoning → Reinforcement learning for reasoning
- MatMart: Material Reconstruction of 3D Objects via DiffusionDiffusion models → 3D, point cloud and scene generation
- MagicWorld: Towards Long-Horizon Stability for Interactive Video World ExplorationWorld models → Video-generation world models and simulators
- Accelerating Reinforcement Learning via Error-Related Human Brain SignalsDeep reinforcement learning methods → Deep RL algorithms and representations
- Parallel Vision Token Scheduling for Fast and Accurate Multimodal LMMs InferenceLLM reasoning → Multimodal reasoning +1
- Periodic Asynchrony: An On-Policy Approach for Accelerating LLM Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed BanditsEfficient LLM inference and serving → Serving systems and request scheduling
- Think Before You Prune: Selective Self-Generated Calibration for Pruning Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking +1
- UNeMo: Collaborative Visual-Language Reasoning and Navigation via a Multimodal World ModelWorld models → World models for navigation +1
- FlowSteer: Guiding Few-Step Image Synthesis with Authentic TrajectoriesDiffusion models → Flow matching, time series and science
- PrismAudio: Decomposed Chain-of-Thoughts and Multi-dimensional Rewards for Video-to-Audio GenerationLLM reasoning → Audio-language model reasoning +1
- Concept than Document: Context Compression via AMR-based Conceptual EntropyRetrieval-augmented generation → Generation and context integration +1
- Towards Characterizing Knowledge Distillation of PPG Heart Rate Estimation ModelsKnowledge distillation → Distillation for medical imaging
- Uncertainty-Aware Dual-Student Knowledge Distillation for Efficient Image ClassificationKnowledge distillation → General knowledge distillation methods
- Assessing the alignment between infants' visual and linguistic experience using multimodal language modelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- VideoPerceiver: Enhancing Fine-Grained Temporal Perception in Video Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- DiP: Taming Diffusion Models in Pixel SpaceDiffusion models → Diffusion foundations and sampling
- Disc3D: Automatic Curation of High-Quality 3D Dialog Data via Discriminative Object ReferringMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action AgentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic RepresentationsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- PartDiffuser: Part-wise 3D Mesh Generation via Discrete DiffusionDiffusion models → 3D, point cloud and scene generation
- RoguePrompt: Dual-Layer Ciphering for Self-Reconstruction to Circumvent LLM ModerationLLM safety and security → Jailbreaking
- Understanding Task Transfer in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- STCDiT: Spatio-Temporally Consistent Diffusion Transformer for High-Quality Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- Unsupervised Multi-View Visual Anomaly Detection via Progressive Homography-Guided AlignmentDiffusion models → Flow matching, time series and science
- HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMsLLM reasoning → Mathematical reasoning
- Large Language Models Require Curated Context for Reliable Political Fact-Checking -- Even with Reasoning and Web SearchLLM reasoning → Reasoning benchmarks and evaluation
- Any4D: Open-Prompt 4D Generation from Natural Language and ImagesWorld models → Embodied and robot world models
- ProxT2I: Efficient Reward-Guided Text-to-Image Generation via Proximal DiffusionDiffusion models → Diffusion and flow policies for robotics +1
- Multimodal Large Language Models with Adaptive Preference Optimization for Sequential RecommendationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Thinking Ahead: Foresight Intelligence in MLLMs and World ModelWorld models → World models for autonomous driving +1
- GuideFlow: Constraint-Guided Flow Matching for Planning in End-to-End Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
- Reinforcement Learning for Self-Healing Material SystemsDeep reinforcement learning methods → RL for energy, networks and operations
- Towards Realistic Guarantees: A Probabilistic Certificate for SmoothLLMLLM safety and security → Jailbreaking
- Seeing What Matters: Visual Preference Policy Optimization for Visual GenerationLLM reasoning → Reinforcement learning for reasoning
- HuggingR4: A Progressive Reasoning Framework for Discovering Optimal Model CompanionsLLM reasoning → Reasoning for agents, planning and code +1
- MAGMA-Edu: Multi-Agent Generative Multimodal Framework for Text-Diagram Educational Question GenerationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics
- CoD: A Diffusion Foundation Model for Image CompressionDiffusion models → Diffusion for compression and wireless
- VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron ChunkingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Now You See It, Now You Don't - Instant Concept Erasure for Safe Text-to-Image and Video GenerationLLM safety and security → Vision-language and text-to-image safety
- MedVision: Benchmarking Quantitative Medical Image AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
- Edit2Perceive: Image Editing Diffusion Models Are Strong Dense PerceiversDiffusion models → Image generation, text-to-image and editing
- Sphinx: Efficiently Serving Novel View Synthesis using Regression-Guided Selective RefinementDiffusion models → 3D, point cloud and scene generation
- Subtract the Corruption: Training-Data-Free Corrective Machine Unlearning using Task ArithmeticLLM safety and security → Machine unlearning
- CLaRa: Bridging Retrieval and Generation with Continuous Latent ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Automated Fault Detection in 5G Core Networks Using Large Language Models
- Large Language Models as Search Engines: Societal Challenges
- LATTICE: Democratize High-Fidelity 3D Generation at Scale
- Deep Research: A Systematic Survey
- ProvRain: Rain-Adaptive Denoising and Vehicle Detection via MobileNet-UNet and Faster R-CNN
- A CNN-Based Technique to Assist Layout-to-Generator Conversion for Analog Circuits
- Enhancing Cognitive Robotics with Commonsense through LLM-Generated Preconditions and Subgoals
- Satellite to Street : Disaster Impact Estimator
- SpeedAug: Policy Acceleration via Tempo-Enriched Policy and RL Fine-Tuning
- Factors That Support Grounded Responses in LLM Conversations: A Rapid Review
- LLMs for Low-Resource Dialect Translation Using Context-Aware Prompting: A Case Study on Sylheti
- Medical Malice: A Dataset for Context-Aware Safety in Healthcare LLMs
- Who Owns the Knowledge? Copyright, GenAI, and the Future of Academic Publishing
- Extracting Disaster Impacts and Impact Related Locations in Social Media Posts Using Large Language Models
- Active Slice Discovery in Large Language Models
- A Set of Rules for Model Validation
- Paraconsistent-Lib: an intuitive PAL2v algorithm Python Library
- In Defense of the Turing Test and its Legacy
- On the Role of Hidden States of Modern Hopfield Network in Transformer
- Musical Score Understanding Benchmark: Evaluating Large Language Models' Comprehension of Complete Musical Scores
- Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
- A Brief History of Digital Twin Technology
- Development of a fully deep learning model to improve the reproducibility of sector classification systems for predicting unerupted maxillary canine likelihood of impaction
- KOM: A Multi-Agent Artificial Intelligence System for Precision Management of Knee Osteoarthritis (KOA)
- When +1% Is Not Enough: A Paired Bootstrap Protocol for Evaluating Small Improvements
- Gender Bias in Emotion Recognition by Large Language Models
- Lightweight Transformer Framework for Weakly Supervised Semantic Segmentation
- Order Selection in Vector Autoregression by Mean Square Information Criterion
- A Storage-Efficient Feature for 3D Concrete Defect Segmentation to Replace Normal Vector
- Vision-Language Enhanced Foundation Model for Semi-Supervised Medical Image Segmentation
- What does it mean to understand language?
- Clustering Approaches for Mixed-Type Data: A Comparative Study
- What You See is (Usually) What You Get: Multimodal Prototype Networks that Abstain from Expensive Modalities
- Leveraging Foundation Models for Histological Grading in Cutaneous Squamous Cell Carcinoma using PathFMTools
- DISCO: A Browser-Based Privacy-Preserving Framework for Distributed Collaborative Learning
- Scaling Item-to-Standard Alignment with Large Language Models: Accuracy, Limits, and Solutions
- Efficient Transferable Optimal Transport via Min-Sliced Transport Plans
- CAMformer: Associative Memory is All You Need
- Comparative Analysis of LoRA-Adapted Embedding Models for Clinical Cardiology Text Representation
- Integrating RCTs, RWD, AI/ML and Statistics: Next-Generation Evidence Synthesis
- Training-Free Active Learning Framework in Materials Science with Large Language Models
- Maritime Small Object Detection from UAVs using Deep Learning with Altitude-Aware Dynamic Tiling
- An Adaptive, Data-Integrated Agent-Based Modeling Framework for Explainable and Contestable Policy Design
- Individual and group fairness in geographical partitioning
- Can LLMs Faithfully Explain Themselves in Low-Resource Languages? A Case Study on Emotion Detection in Persian
- Large Scale Community-Aware Network Generation
- Design Criteria for SGD Preconditioners: Local Conditioning, Noise Floors, and Basin Stability
- CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation
- Selective Disk Bispectrum: A Complete and Rotation Invariant Image Descriptor
- CafeQ: Calibration-free Quantization via Learned Transformations and Adaptive Rounding
- RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models
- The Alexander-Hirschowitz theorem for neurovarieties
- TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification
- TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding
- CountXplain: Interpretable Cell Counting with Prototype-Based Density Map Estimation
- IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants
- FISCAL: Financial Synthetic Claim-document Augmented Learning for Efficient Fact-Checking
- OncoVision: Integrating Mammography and Clinical Data through Attention-Driven Multimodal AI for Enhanced Breast Cancer Diagnosis
- Structured Noise Modeling for Enhanced Time-Series Forecasting
- Lower Complexity Bounds for Nonconvex-Strongly-Convex Bilevel Optimization with First-Order Oracles
- Accuracy and Efficiency Trade-Offs in LLM-Based Malware Detection and Explanation: A Comparative Study of Parameter Tuning vs. Full Fine-Tuning
- Synthetic Data: AI's New Weapon Against Android Malware
- Robot-Powered Data Flywheels: Deploying Robots in the Wild for Continual Data Collection and Foundation Model Adaptation
- IRSDA: An Agent-Orchestrated Framework for Enterprise Intrusion Response
- Parameter-Efficient Construction of the Rashomon Slice for Concept Bottleneck Models
- SkillSight: Efficient First-Person Skill Assessment with Gaze
- Optimization and Regularization Under Arbitrary Objectives
- Towards Synergistic Teacher-AI Interactions with Generative Artificial Intelligence
- Multiscale Vector-Quantized Variational Autoencoder for Endoscopic Image Synthesis
- From Wearables to Warnings: Predicting Pain Spikes in Patients with Opioid Use Disorder
- Leveraging Unlabeled Scans for NCCT Image Segmentation in Early Stroke Diagnosis: A Semi-Supervised GAN Approach
- Neural Tractability via Structure: Learning-Augmented Algorithms for Graph Combinatorial Optimization
- An Invariant Latent Space Perspective on Language Model Inversion
- Deductive Systems for Logic Programs with Counting
- Trust-Based Social Learning for Communication (TSLEC) Protocol Evolution in Multi-Agent Reinforcement Learning
- Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport
- Online Sparse Feature Selection in Data Streams via Differential Evolution
- The Semiotic Channel Principle: Measuring the Capacity for Meaning in LLM Communication
- Neural Evidence and Behavioural Welfare Economics: When Can Neuroeconomics Inform Policy?
- Learning to Solve Weighted Maximum Satisfiability with a Co-Training Architecture
- Proxy-Free Gaussian Splats Deformation with Splat-Based Surface Estimation
- PhysDNet: Physics-Guided Decomposition Network of Side-Scan Sonar Imagery
- Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration
- Masked Autoencoder Joint Learning for Robust Spitzoid Tumor Classification
- MapRF: Weakly Supervised Online HD Map Construction via NeRF-Guided Self-Training
- Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space
- Blinking Beyond EAR: A Stable Eyelid Angle Metric for Driver Drowsiness Detection and Data Augmentation
- Fewer Tokens, Greater Scaling: Self-Adaptive Visual Bases for Efficient and Expansive Representation Learning
- Row-Stochastic Matrices Can Provably Outperform Doubly Stochastic Matrices in Decentralized Learning
- Single Image to High-Quality 3D Object via Latent Features
- The Determinant Ratio Matrix Approach to Solving 3D Matching and 2D Orthographic Projection Alignment Tasks
- TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception
- LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context
- Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution
- Flow Map Distillation Without Data
- Prompt Less, Smile More: MTP with Semantic Engineering in Lieu of Prompt Engineering
- Ref-SAM3D: Bridging SAM3D with Text for Reference 3D Reconstruction
- SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation
- SLMFix: Leveraging Small Language Models for Domain Specific Language Error Fixing with Reinforcement Learning
- UniGame: Turning a Unified Multimodal Model Into Its Own Adversary
- Nonparametric Instrumental Variable Regression with Observed Covariates
- In-Video Instructions: Visual Signals as Generative Control
- PTF Testing Lower Bounds for Non-Gaussian Component Analysis
- Real-Time Object Tracking with On-Device Deep Learning for Adaptive Beamforming in Dynamic Acoustic Environments
- BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation
- UISearch: Graph-Based Embeddings for Multimodal Enterprise UI Screenshots Retrieval
- AnatomicalNets: A Multi-Structure Segmentation and Contour-Based Distance Estimation Pipeline for Clinically Grounded Lung Cancer T-Staging
- Neural surrogates for designing gravitational wave detectors
- Enhancing Conformal Prediction via Class Similarity
- Rethinking Reward Signals in Video GRPO: When Scores Become Targets
- Leveraging LLMs for reward function design in reinforcement learning control tasks
- CellFMCount: A Fluorescence Microscopy Dataset, Benchmark, and Methods for Cell Counting
- Scalable Parameter-Light Spectral Method for Clustering Short Text Embeddings with a Cohesion-Based Evaluation Metric
- Artificial Intelligence Driven Workflow for Accelerating Design of Novel Photosensitizers
- Annotation-Free Class-Incremental Learning
- Explicit Tonal Tension Conditioning via Dual-Level Beam Search for Symbolic Music Generation
- High-throughput validation of phase formability and simulation accuracy of Cantor alloys
- Targeted Manipulation: Slope-Based Attacks on Financial Time-Series Data
- Understanding the Staged Dynamics of Transformers in Learning Latent Structure
- MonoMSK: Monocular 3D Musculoskeletal Dynamics Estimation
- Generative Query Expansion with Multilingual LLMs for Cross-Lingual Information Retrieval
- What Drives Cross-lingual Ranking? Retrieval Approaches with Multilingual Language Models
- SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation
- SyncMV4D: Synchronized Multi-view Joint Diffusion of Appearance and Motion for Hand-Object Interaction Synthesis
- MultiBanAbs: A Comprehensive Multi-Domain Bangla Abstractive Text Summarization Dataset
- Dual-Granularity Semantic Prompting for Language Guidance Infrared Small Target Detection
- IDEAL-M3D: Instance Diversity-Enriched Active Learning for Monocular 3D Detection
- Open-weight genome language model safeguards: Assessing robustness via adversarial fine-tuning
- DensifyBeforehand: LiDAR-assisted Content-aware Densification for Efficient and Quality 3D Gaussian Splatting
- TorchQuantumDistributed
- Performance Guarantees for Quantum Neural Estimation of Entropies
- The Unified Non-Convex Framework for Robust Causal Inference: Overcoming the Gaussian Barrier and Optimization Fragility
- Data Flows and Colonial Regimes in Africa: A Critical Analysis of the Colonial Futurities Embedded in AI Ecosystems
- MapFormer: Self-Supervised Learning of Cognitive Maps with Input-Dependent Positional Embeddings
- ReMatch: Boosting Representation through Matching for Multimodal Retrieval
- Closing Gaps in Emissions Monitoring with Climate TRACE
- Dynamic Multi-Species Bird Soundscape Generation with Acoustic Patterning and 3D Spatialization
- Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection
- Scalable Bayesian Network Structure Learning Using Tsetlin Machine to Constrain the Search Space
- Tiny-TSM: Efficiently Training a Lightweight SOTA Time Series Foundation Model
- Leveraging Spatiotemporal Graph Neural Networks for Multi-Store Sales Forecasting
- Interpreting GFlowNets for Drug Discovery: What probes can and cannot show
- Solar-GECO: Perovskite Solar Cell Property Prediction with Geometric-Aware Co-Attention
- Psychometric Tests for AI Agents and Their Moduli Space
- Wrist Photoplethysmography Predicts Dietary Information
- Adversarial Patch Attacks on Vision-Based Cargo Occupancy Estimation via Differentiable 3D Simulation
- FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
- Neural Architecture Search for Quantum Autoencoders
- Local Entropy Search over Descent Sequences for Bayesian Optimization
- Empirical Comparison of Forgetting Mechanisms for UCB-based Algorithms on a Data-Driven Simulation Platform
- SENTINEL: A Fully End-to-End Language-Action Model for Humanoid Whole Body Control
- IDSplat: Instance-Decomposed 3D Gaussian Splatting for Driving Scenes
- In Machina N400: Pinpointing Where a Causal Language Model Detects Semantic Violations
- NVGS: Neural Visibility for Occlusion Culling in 3D Gaussian Splatting
- Can Modern Vision Models Understand the Difference Between an Object and a Look-alike?
- CLASH: A Benchmark for Cross-Modal Contradiction Detection
- Three-Dimensional Anatomical Data Generation Based on Artificial Neural Networks
- SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection
- Torsion-Space Diffusion for Protein Backbone Generation with Geometric Refinement
- nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation
- Evaluating Deep Learning and Traditional Approaches Used in Source Camera Identification
- From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation
- MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenes
- Test-Time Preference Optimization for Image Restoration
- Epistemic Familiarity is Associated With Belief Stability in Large Language Models
- A Robust State Filter Against Unmodeled Process And Measurement Noise
- Information Physics of Intelligence: Unifying Logical Depth and Entropy under Thermodynamic Constraints
- Feature Ranking in Credit-Risk with Qudit-Based Networks
- Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
- Activation Boundary Matching: Task-Informed Initialization for Low-Rank Adaptation
- FilmSceneDesigner: Chaining Set Design for Procedural Film Scene Generation
- MambaRefine-YOLO: A Dual-Modality Small Object Detector for UAV Imagery
- Uncertainty-Aware Deep Learning Framework for Remaining Useful Life Prediction in Turbofan Engines with Learned Aleatoric Uncertainty
- Emotion-Enhanced Multi-Task Learning with LLMs for Aspect Category Sentiment Analysis
- ReLU-Based and DNN-Based Generalized Maximum Score Estimators
- On the Optimality of Kinship Naming: an Information-theoretic Approach
- A symbolic Perl algorithm for the unification of Nahuatl word spellings
- 3M-TI: High-Quality Mobile Thermal Imaging via Calibration-free Multi-Camera Cross-Modal Diffusion
- AI Consciousness and Existential Risk
- Physics-informed Neural Operator Learning for Nonlinear Grad-Shafranov Equation
- HABIT: Human Action Benchmark for Interactive Traffic in CARLA
- The Core in Max-Loss Non-Centroid Clustering Can Be Empty
- Graph-based 3D Human Pose Estimation using WiFi Signals
- Edge-Based Predictive Data Reduction for Smart Agriculture: A Lightweight Approach to Efficient IoT Communication
- Extracting Robust Register Automata from Neural Networks over Data Sequences
- Optimization of Deep Learning Models for Dynamic Market Behavior Prediction
- Towards Generalizable Deepfake Detection via Forgery-aware Audio-Visual Adaptation: A Variational Bayesian Approach
- Structured Matching via Cost-Regularized Unbalanced Optimal Transport
- DEAP-3DSAM: Decoder Enhanced and Auto Prompt SAM for 3D Medical Image Segmentation
- DynaMix: Generalizable Person Re-identification via Dynamic Relabeling and Mixed Data Sampling
- Mitigating Participation Imbalance Bias in Asynchronous Federated Learning
- Understanding, Accelerating, and Improving MeanFlow Training
- Logic of Montage
- Granular Computing-driven SAM: From Coarse-to-Fine Guidance for Prompt-Free Segmentation
- LAA3D: A Benchmark of Detecting and Tracking Low-Altitude Aircraft in 3D Space
- Large Language Model-Assisted Planning of Electric Vehicle Charging Infrastructure with Real-World Case Study
- MedSAM3: Delving into Segment Anything with Medical Concepts
- Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
- Changes in Gaza: DINOv3-Powered Multi-Class Change Detection for Damage Assessment in Conflict Zones
- ReEXplore: Improving MLLMs for Embodied Exploration with Contextualized Retrospective Experience Replay
- Life-IQA: Boosting Blind Image Quality Assessment through GCN-enhanced Layer Interaction and MoE-based Feature Decoupling
- Dynamic Granularity Matters: Rethinking Vision Transformers Beyond Fixed Patch Splitting
- 3D Dynamic Radio Map Prediction Using Vision Transformers for Low-Altitude Wireless Networks
- Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding
- Enhancing low energy reconstruction and classification in KM3NeT/ORCA with transformers
- AuViRe: Audio-visual Speech Representation Reconstruction for Deepfake Temporal Localization
- Classification EM-PCA for clustering and embedding
- Rethinking Plant Disease Diagnosis: Bridging the Academic-Practical Gap with Vision Transformers and Zero-Shot Learning
- UMCL: Unimodal-generated Multimodal Contrastive Learning for Cross-compression-rate Deepfake Detection
- MOCLIP: A Foundation Model for Large-Scale Nanophotonic Inverse Design
- FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
- Peregrine: One-Shot Fine-Tuning for FHE Inference of General Deep CNNs
- CataractCompDetect: Intraoperative Complication Detection in Cataract Surgery
- LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models
- Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
- Eevee: Towards Close-up High-resolution Video-based Virtual Try-on
- Active Inference is a Subtype of Variational Inference
- Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining
- MIST: Mutual Information Estimation Via Supervised Training
- Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery
- Knowledge-based Graphical Method for Safety Signal Detection in Clinical Trials
- Skeletons Matter: Dynamic Data Augmentation for Text-to-Query
- Look It Up: Analysing Internal Web Search Capabilities of Modern LLMs
- Learning Solution Operators for Partial Differential Equations via Monte Carlo-Type Approximation
- FineXtrol: Controllable Motion Generation via Fine-Grained Text
- MoodBench 1.0: An Evaluation Benchmark for Emotional Companionship Dialogue Systems
- LookSharp: Attention Entropy Minimization for Test-Time Adaptation
- LLM-Driven Kernel Evolution: Automating Driver Updates in Linux
- One4D: Unified 4D Generation and Reconstruction via Decoupled LoRA Control
- How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining
- Not All Pixels Are Equal: Pixel-wise Meta-Learning for Medical Segmentation with Noisy Labels
- Reproducibility Study of Large Language Model Bayesian Optimization
- Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
- CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
- MFmamba: A Multi-function Network for Panchromatic Image Resolution Restoration Based on State-Space Model
- Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning
- Facade Segmentation for Solar Photovoltaic Suitability
- Fairness Meets Privacy: Integrating Differential Privacy and Demographic Parity in Multi-class Classification
- GContextFormer: A global context-aware hybrid multi-head attention approach with scaled additive aggregation for multimodal trajectory prediction
- Neural Texture Splatting: Expressive 3D Gaussian Splatting for View Synthesis, Geometry, and Dynamic Reconstruction
- HunyuanVideo 1.5 Technical Report
- Hear: Hierarchically Enhanced Aesthetic Representations For Multidimensional Music Evaluation
- DualGazeNet: A Biologically Inspired Dual-Gaze Query Network for Salient Object Detection
- Generating Reading Comprehension Exercises with Large Language Models for Educational Applications
- Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
- Rethinking Long-tailed Dataset Distillation: A Uni-Level Framework with Unbiased Recovery and Relabeling
- Deep Hybrid Model for Region of Interest Detection in Omnidirectional Videos
- Time Travel: LLM-Assisted Semantic Behavior Localization with Git Bisect
- FanarGuard: A Culturally-Aware Moderation Filter for Arabic Language Models
- Robust Long-term Test-Time Adaptation for 3D Human Pose Estimation through Motion Discretization
- Cognitive Alpha Mining via LLM-Driven Code-Based Evolution
- Pre-Filtering Code Suggestions using Developer Behavioral Telemetry to Optimize LLM-Assisted Programming
- Large Language Models for the Summarization of Czech Documents: From History to the Present
- Personalized Federated Segmentation with Shared Feature Aggregation and Boundary-Focused Calibration
- WaveTuner: Comprehensive Wavelet Subband Tuning for Time Series Forecasting
- A Reproducible Framework for Neural Topic Modeling in Focus Group Analysis
- Optimizing LLM Code Suggestions: Feedback-Driven Timing with Lightweight State Bounds
- Federated style aware transformer aggregation of representations
- Addressing Situated Teaching Needs: A Multi-Agent Framework for Automated Slide Adaptation
- Enhancing Multi-Label Thoracic Disease Diagnosis with Deep Ensemble-Based Uncertainty Quantification
- FVAR: Visual Autoregressive Modeling via Next Focus Prediction
- Auto-ML Graph Neural Network Hypermodels for Outcome Prediction in Event-Sequence Data
- VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction
- Leveraging Duration Pseudo-Embeddings in Multilevel LSTM and GCN Hypermodels for Outcome-Oriented PPM
- Solving a Research Problem in Mathematical Statistics with AI Assistance
- Leveraging Metaheuristic Approaches to Improve Deep Learning Systems for Anxiety Disorder Detection
- Q-Save: Towards Scoring and Attribution for Generated Video Evaluation
- Unsupervised simulation of incompressible flows with physics- and equality- constrained artificial neural networks
- SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation
- DetAny4D: Detect Anything 4D Temporally in a Streaming RGB Video
- Uncertainty of Network Topology with Applications to Out-of-Distribution Detection
- Mitigating Long-Tail Bias in HOI Detection via Adaptive Diversity Cache
- TPG-INR: Target Prior-Guided Implicit 3D CT Reconstruction for Enhanced Sparse-view Imaging
- ChronoGS: Disentangling Invariants and Changes in Multi-Period Scenes
- NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations
- Scale What Counts, Mask What Matters: Evaluating Foundation Models for Zero-Shot Cross-Domain Wi-Fi Sensing
- Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Learning Predictors
- StereoDETR: Stereo-based Transformer for 3D Object Detection
- Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
- A Novel Dual-Stream Framework for dMRI Tractography Streamline Classification with Joint dMRI and fMRI Data
- ConceptGuard: Proactive Safety in Text-and-Image-to-Video Generation through Multimodal Risk Detection
- SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs
- Rethinking Garment Conditioning in Diffusion-based Virtual Try-On: Decouple, Don't Denoise
- Zero-Shot Context-Aware ASR for Diverse Arabic Varieties
- Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
- Re-Key-Free, Risky-Free: Adaptable Model Usage Control
- NI-Tex: Non-isometric Image-based Garment Texture Generation
- VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement
- From Features to Reference Points: Lightweight and Adaptive Fusion for Cooperative Autonomous Driving
- Robust Multimodal Sentiment Analysis of Image-Text Pairs by Distribution-Based Feature Recovery and Fusion
- On Instability of Minimax Optimal Optimism-Based Bandit Algorithms
- RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context
- A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection
- Joint learning of a network of linear dynamical systems via total variation penalization
- Yo'City: Personalized and Boundless 3D Realistic City Scene Generation via Self-Critic Expansion
- OceanForecastBench: A Benchmark Dataset for Data-Driven Global Ocean Forecasting
- Large-Scale In-Game Outcome Forecasting for Match, Team and Players in Football using an Axial Transformer Neural Network
- LogSyn: A Few-Shot LLM Framework for Structured Insight Extraction from Unstructured General Aviation Maintenance Logs
- Neural B-Frame Coding: Tackling Domain Shift Issues with Lightweight Online Motion Resolution Adaptation
- N2N: A Parallel Framework for Large-Scale MILP under Distributed Memory
- AIRHILT: A Human-in-the-Loop Testbed for Multimodal Conflict Detection in Aviation
- When and What to Recommend: Joint Modeling of Timing and Content for Active Sequential Recommendation
- GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction
- Modality-Collaborative Low-Rank Decomposers for Few-Shot Video Domain Adaptation
- CNN-Based Camera Pose Estimation and Localisation of Scan Images for Aircraft Visual Inspection
- ObjectAlign: Neuro-Symbolic Object Consistency Verification and Correction
- Dendritic Convolution for Noise Image Recognition
- Multimodal Real-Time Anomaly Detection and Industrial Applications
- Empathetic Cascading Networks: A Multi-Stage Prompting Technique for Reducing Social Biases in Large Language Models
- Exploring Surround-View Fisheye Camera 3D Object Detection
- Stable Multi-Drone GNSS Tracking System for Marine Robots
- EVCC: Enhanced Vision Transformer-ConvNeXt-CoAtNet Fusion for Classification
- QuantKAN: A Unified Quantization Framework for Kolmogorov Arnold Networks
- Hierarchical GraphCut Phase Unwrapping based on Invariance of Diffeomorphisms Framework
- Inverse Rendering for High-Genus Surface Meshes from Multi-View Images
- Neural Geometry Image-Based Representations with Optimal Transport (OT)
- A Theory-Inspired Framework for Few-Shot Cross-Modal Sketch Person Re-Identification
- Low-Rank GEMM: Efficient Matrix Multiplication via Low-Rank Approximation with FP8 Acceleration
- Multi-Agent Cross-Entropy Method with Monotonic Nonlinear Critic Decomposition
- Deterministic Continuous Replacement: Fast and Stable Module Replacement in Pretrained Transformers
- Data Augmentation Strategies for Robust Lane Marking Detection
- Equivariant Deep Equilibrium Models for Imaging Inverse Problems
- Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data