Papers
Sun 15 Mar 2026
255 papers
- SAGE: Sensor-Augmented Grounding Engine for LLM-Powered Sleep Care AgentLLM agents and tool use → Medical and scientific domain agents
- Tool-MCoT: Tool Augmented Multimodal Chain-of-Thought for Content Safety ModerationLLM reasoning → Reasoning for agents, planning and code +1
- Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision SpaceLLM reasoning → Reasoning benchmarks and evaluation
- Whether, Not Which: Mechanistic Interpretability Reveals Dissociable Affect Reception and Emotion Categorization in LLMsMechanistic interpretability → Activation steering methods
- Efficient Embedding-based Synthetic Data Generation for Complex Reasoning TasksLLM reasoning → Reasoning benchmarks and evaluation +1
- FactorSmith: Agentic Simulation Generation via Markov Decision Process Decomposition with Planner-Designer-Critic RefinementLLM reasoning → Reasoning for agents, planning and code +1
- The Provenance Paradox in Multi-Agent LLM Routing: Delegation Contracts and Attested Identity in LDPLLM agents and tool use → Agent threats, guardrails and governance
- DASH: Dynamic Audio-Driven Semantic Chunking for Efficient Omnimodal Token CompressionEfficient LLM inference and serving → Audio and omni-modal token compression
- State-Dependent Safety Failures in Multi-Turn Language Model InteractionLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Comparative Analysis of 3D Convolutional and 2.5D Slice-Conditioned U-Net Architectures for MRI Super-Resolution via Elucidated Diffusion ModelsDiffusion models → Medical imaging and segmentation
- ViDscribe: Multimodal AI for Customizing Audio Description and Question Answering in Online VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- VisionCoach: Reinforcing Grounded Video Reasoning via Visual-Perception PromptingKnowledge distillation → Multimodal distillation
- Spectrum Matching: a Unified Perspective for Superior Diffusability in Latent DiffusionDiffusion models → Diffusion foundations and sampling
- Nudging Hidden States: Training-Free Model Steering for Chain-of-Thought Reasoning in Large Audio-Language ModelsLLM reasoning → Audio-language model reasoning
- Compute Allocation for Reasoning-Intensive Retrieval AgentsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- When Scanners Lie: Evaluator Instability in LLM Red-TeamingLLM safety and security → Jailbreaking
- s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMsLLM reasoning → Mathematical reasoning
- Delightful Policy GradientDeep reinforcement learning methods → RL theory and sample complexity
- Tactile Modality Fusion for Vision-Language-Action ModelsVision-language-action models → Tactile, force-aware and humanoid VLA
- PA3: Policy-Aware Agent Alignment through Chain-of-ThoughtLLM reasoning → Reasoning for agents, planning and code +1
- A Loss Landscape Visualization Framework for Interpreting Reinforcement Learning: An ADHDP Case StudyDeep reinforcement learning methods → RL theory and sample complexity
- D-MEM: Dopamine-Gated Agentic Memory via Reward Prediction Error RoutingLLM agents and tool use → Agent memory systems
- Adapting Critic Match Loss Landscape Visualization to Off-policy Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent MemoryLLM agents and tool use → Agent memory systems
- Machine Learning-Driven Intelligent Memory System Design: From On-Chip Caches to StorageDeep reinforcement learning methods → RL for energy, networks and operations
- Medical Image Spatial Grounding with Semantic SamplingMultimodal LLMs / vision-language models → Medical vision-language models
- MorFiC: Fixing Value Miscalibration for Zero-Shot Quadruped TransferDeep reinforcement learning methods → RL for robot locomotion and manipulation
- ASAP: Attention-Shift-Aware Pruning for Efficient LVLM InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Expert Mind: A Retrieval-Augmented Architecture for Expert Knowledge Preservation in the Energy SectorRetrieval-augmented generation → RAG pipeline design and evaluation
- Distilling Latent Manifolds: Resolution Extrapolation by Variational AutoencodersKnowledge distillation → General knowledge distillation methods
- Visualizing Critic Match Loss Landscapes for Interpretation of Online Reinforcement Learning Control AlgorithmsDeep reinforcement learning methods → RL theory and sample complexity
- Emotional Cost Functions for AI Safety: Teaching Agents to Feel the Weight of Irreversible ConsequencesLLM agents and tool use → General LLM agent frameworks and benchmarks
- LatSearch: Latent Reward-Guided Search for Faster Inference-Time Scaling in Video DiffusionLLM reasoning → Diffusion reasoning and test-time scaling +2
- VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- WorldVLM: Combining World Model Forecasting and Vision-Language ReasoningWorld models → World models for autonomous driving +1
- Fine-tuning MLLMs Without Forgetting Is Easier Than You ThinkLLM reasoning → Multimodal reasoning +1
- Infinite Problem Generator: Verifiably Scaling Physics Reasoning Data with Agentic WorkflowsLLM reasoning → Spatial and embodied reasoning +1
- Unlearning-based sliding window for continual learning under concept driftLLM safety and security → Machine unlearning
- Physics-Informed Policy Optimization via Analytic Dynamics RegularizationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LongVidSearch: An Agentic Benchmark for Multi-hop Evidence Retrieval Planning in Long VideosLLM agents and tool use → Multimodal and embodied agents
- AgentProcessBench: Diagnosing Step-Level Process Quality in Tool-Using AgentsLLM agents and tool use → Tool learning and function calling
- Distilling Reasoning Without Knowledge: A Framework for Reliable LLMsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Zoom to Essence: Trainless GUI Grounding by Inferring upon Interface ElementsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- GenState-AI: State-Aware Dataset for Text-to-Video Retrieval on AI-Generated VideosLLM reasoning → Multimodal reasoning
- Questionnaire Responses Do not Capture the Safety of AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- ES-Merging: Biological MLLM Merging via Embedding Space SignalsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- eNavi: Event-based Imitation Policies for Low-Light Indoor Mobile Robot NavigationOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic SystemsWorld models → Embodied and robot world models +1
- From log π to π: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient WeightLLM reasoning → Reinforcement learning for reasoning
- SPARQ: Spiking Early-Exit Neural Networks for Energy-Efficient Edge AIEfficient LLM inference and serving → Early exit and edge inference
- The Pulse of Motion: Measuring Physical Frame Rate from Visual DynamicsWorld models → Latent predictive world models
- Trust Over Fear: How Motivation Framing in System Prompts Affects AI Agent Debugging DepthLLM agents and tool use → Social simulation and multi-agent debate
- OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task ParallelismEfficient LLM inference and serving → Visual token pruning in multimodal models
- HomeGuard: VLM-based Embodied Safeguard for Identifying Contextual Risk in Household TaskMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Representation Alignment for Just Image Transformers is not Easier than You ThinkDiffusion models → Diffusion foundations and sampling
- Exposing Long-Tail Safety Failures in Large Language Models through Efficient Diverse Response SamplingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge SpacesEnd-to-end autonomous driving → End-to-end system architecture
- AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal ReasoningLLM reasoning → Clinical and biomedical applications
- On the Nature of Attention Sink that Shapes Decoding Strategy in Omni-LLMsLLM reasoning → Test-time compute and efficient thinking
- UAVBench and UAVIT-1M: Benchmarking and Enhancing MLLMs for Low-Altitude UAV Vision-Language UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Data-Driven Physics Embedded Dynamics with Predictive Control and Reinforcement Learning for QuadrupedsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG InterpretationLLM reasoning → Clinical and biomedical applications
- How Do Medical MLLMs Fail? A Study on Visual Grounding in Medical ImagesMultimodal LLMs / vision-language models → Medical vision-language models
- Early Failure Detection and Intervention in Video Diffusion ModelsDiffusion models → Video generation
- SemantiCache: Efficient KV Cache Compression via Semantic Chunking and Clustered MergingEfficient LLM inference and serving → KV cache optimization
- Seeking Physics in Diffusion NoiseDiffusion models → Video generation
- AEX: Non-Intrusive Multi-Hop Attestation and Provenance for LLM APIsLLM agents and tool use → Software engineering coding agents
- Activation Surgery: Jailbreaking White-box LLMs without Touching the PromptLLM safety and security → Jailbreaking
- Controllable Accent Normalization via Discrete DiffusionDiffusion models → Audio, speech and music
- DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and SynchronizationDiffusion models → Audio, speech and music
- MedPriv-Bench: Benchmarking the Privacy-Utility Trade-off of Large Language Models in Medical Open-Ended Question AnsweringRetrieval-augmented generation → Medical and biomedical RAG
- Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation MonitoringLLM reasoning → Test-time compute and efficient thinking +1
- Why Do LLM-based Web Agents Fail? A Hierarchical Planning PerspectiveLLM agents and tool use → Web, search, and research agents
- GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- CamLit: Unified Video Diffusion with Explicit Camera and Lighting ControlDiffusion models → Video generation
- QiMeng-CodeV-SVA: Training Specialized LLMs for Hardware Assertion Generation via RTL-Grounded Bidirectional Data SynthesisSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- AeroGen: Agentic Drone Autonomy through Single-Shot Structured Prompting & Drone SDKLLM agents and tool use → Multimodal and embodied agents
- Agentic DAG-Orchestrated Planner Framework for Multi-Modal, Multi-Hop Question Answering in Hybrid Data LakesLLM agents and tool use → Web, search, and research agents
- "I'm Not Reading All of That": Understanding Software Engineers' Level of Cognitive Engagement with Agentic Coding AssistantsLLM agents and tool use → Software engineering coding agents
- Self-Indexing KVCache: Predicting Sparse Attention from Compressed KeysEfficient LLM inference and serving → KV cache optimization
- Membership Inference for Contrastive Pre-training Models with Text-only PII QueriesLLM safety and security → Membership inference attacks
- FIND: A Simple yet Effective Baseline for Diffusion-Generated Image DetectionDiffusion models → Image generation, text-to-image and editing
- Safety-Potential Pruning for Enhancing Safety Prompts Against VLM Jailbreaking Without RetrainingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Rethinking Evaluation in Retrieval-Augmented Personalized Dialogue: A Cognitive and Linguistic PerspectiveLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Memory as Asset: From Agent-centric to Human-centric Memory ManagementLLM agents and tool use → Agent memory systems
- ChArtist: Generating Pictorial Charts with Unified Spatial and Subject ControlDiffusion models → Image generation, text-to-image and editing
- DualTSR: Unified Dual-Diffusion Transformer for Scene Text Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- On Globally Optimal Stochastic Policy Gradient Methods for Domain Randomized LQR SynthesisDeep reinforcement learning methods → RL for games and combinatorial optimization
- Relationship-Aware Safety Unlearning for Multimodal LLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Deeper Thought, Weaker Aim: Understanding and Mitigating Perceptual Impairment during Reasoning in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- To LLM, or Not to LLM: How Designers and Developers Navigate LLMs as Tools or Teammates
- From Natural Language to PromQL: A Catalog-Driven Framework with Dynamic Temporal Resolution for Cloud-Native Observability
- Drift and selection in LLM text ecosystems
- The Human Condition as Reflected in Contemporary Large Language Models
- SensorPersona: An LLM-Empowered System for Continual Persona Extraction from Longitudinal Mobile Sensor Streams
- DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction
- Ternary Gamma Semirings: From Neural Implementation to Categorical Foundations
- A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation
- The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs
All 255
- On the Degrees of Freedom of Gridded Control Points in Learning-Based Medical Image Registration
- Solution for 10th Competition on Ambivalence/Hesitancy (AH) Video Recognition Challenge using Divergence-Based Multimodal Fusion
- Cryptographic Runtime Governance for Autonomous AI Systems: The Aegis Architecture for Verifiable Policy Enforcement
- Patient-level validation of a foundation-model pipeline for pediatric lung sounds: physician-annotated adventitious events are recognized, disease groups are not reliably predicted
- Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
- Life cycle assessment for all organic chemicals
- Beyond Distance: Quantifying Point Cloud Dynamics with Persistent Homology and Dynamic Optimal Transport
- Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification
- Computational Analysis of Semantic Connections Between Herman Melville Reading and Writing
- A Single-Sample Polylogarithmic Regret Bound for Nonstationary Online Linear Programming
- Seamless Deception: Larger Language Models Are Better Knowledge Concealers
- RenderMem: Rendering as Spatial Memory Retrieval
- EviATTA: Evidential Active Test-Time Adaptation for Medical Segment Anything Models
- Gradient Atoms: Unsupervised Discovery, Attribution and Steering of Model Behaviors via Sparse Decomposition of Training Gradients
- Punctuated Equilibria in Artificial Intelligence: The Institutional Scaling Law and the Speciation of Sovereign AI
- Human-AI Ensembles Improve Deepfake Detection in Low-to-Medium Quality Videos
- EARCP: Self-Regulating Coherence-Aware Ensemble Architecture for Sequential Decision Making -- Ensemble Auto-Regule par Coherence et Performance
- A Methodology for Thermal Limit Bias Predictability Through Artificial Intelligence
- TopoCL: Topological Contrastive Learning for Medical Imaging
- Dynamic Theory of Mind as a Temporal Memory Problem: Evidence from Large Language Models
- LUMINA: A Multi-Vendor Mammography Benchmark with Energy Harmonization Protocol
- Argumentation for Explainable and Globally Contestable Decision Support with LLMs
- Seeing Where to Deploy: Metric RGB-Based Traversability Analysis for Aerial-to-Ground Hidden Space Inspection
- Continual Few-shot Adaptation for Synthetic Fingerprint Detection
- Anterior's Approach to Fairness Evaluation of Automated Prior Authorization System
- ResearchPilot: A Local-First Multi-Agent System for Literature Synthesis and Related Work Drafting
- EcoFair-CH-MARL: Scalable Constrained Hierarchical Multi-Agent RL with Real-Time Emission Budgets and Fairness Guarantees
- Proactive Routing to Interpretable Surrogates with Distribution-Free Safety Guarantees
- A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans
- LLM-Augmented Release Intelligence: Automated Change Summarization and Impact Analysis in Cloud-Native CI/CD Pipelines
- Make it SING: Analyzing Semantic Invariants in Classifiers
- GroundSet: A Cadastral-Grounded Dataset for Spatial Understanding with Vector Data
- K-means with learned metrics
- Scaling the Explanation of Multi-Class Bayesian Network Classifiers
- Parameter-Efficient Quality Estimation via Frozen Recursive Models
- A Multi-Scale Graph Learning Framework with Temporal Consistency Constraints for Financial Fraud Detection in Transaction Networks under Non-Stationary Conditions
- FlashHead: Efficient Drop-In Replacement for the Classification Head in Language Model Inference
- Texel Splatting: Perspective-Stable 3D Pixel Art
- The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation
- Power-Law Spectrum of the Random Feature Model
- Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference
- IQP Born Machines under Data-dependent and Agnostic Initialization Strategies
- CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
- Rigorous Asymptotics for First-Order Algorithms Through the Dynamical Cavity Method
- Top-b: Entropic Regulation of Relative Probability Bands in Autoregressive Language Processes
- Multilingual TinyStories: A Synthetic Combinatorial Corpus of Indic Children's Stories for Training Small Language Models
- A comprehensive multimodal dataset and benchmark for ulcerative colitis scoring in endoscopy
- JobMatchAI-An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI
- An End-to-end Architecture for Collider Physics and Beyond
- Learning to Order: Task Sequencing as In-Context Optimization
- Gradient Boosting for Spatial Panel Models with Random and Fixed Effects
- Interp3R: Continuous-time 3D Geometry Estimation with Frames and Events
- MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection
- Learning to Forget: Sleep-Inspired Memory Consolidation for Resolving Proactive Interference in Large Language Models
- Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State
- High-Probability Bounds for SGD under the Polyak-Lojasiewicz Condition with Markovian Noise
- Expanding mmWave Datasets for Human Pose Estimation with Unlabeled Data and LiDAR Datasets
- Unlocking the Latent Canvas: Eliciting and Benchmarking Symbolic Visual Expression in LLMs
- Mapping Dark-Matter Clusters via Physics-Guided Diffusion Models
- CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language
- R3DP: Real-Time 3D-Aware Policy for Embodied Manipulation
- Refining 3D Medical Segmentation with Verbal Instruction
- Bridging the Gap in the Responsible AI Divides
- Predicting Stress-strain Behaviors of Additively Manufactured Materials via Loss-based and Activation-based Physics-informed Machine Learning
- Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention
- V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning
- Convergence of Two Time-Scale Stochastic Approximation: A Martingale Approach
- Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling
- Wi-Spike: A Low-power WiFi Human Multi-action Recognition Model with Spiking Neural Networks
- On the (Generative) Linear Sketching Problem
- AI Can Learn Scientific Taste
- An Industrial-Scale Insurance LLM Achieving Verifiable Domain Mastery and Hallucination Control without Competence Trade-offs
- STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks
- Inclusive AI for Group Interactions: Predicting Gaze-Direction Behaviors in People with Intellectual and Developmental Disabilities
- PARSA-Bench: A Comprehensive Persian Audio-Language Model Benchmark
- Uni-MDTrack: Learning Decoupled Memory and Dynamic States for Parameter-Efficient Visual Tracking in All Modality
- How to find expressible and trainable parameterized quantum circuits?
- Echoes Across Centuries: Phonetic Signatures of Persian Poets
- AR-Flow VAE: A Structured Autoregressive Flow Prior Variational Autoencoder for Unsupervised Blind Source Separation
- End-to-End Spatial-Temporal Transformer for Real-time 4D HOI Reconstruction
- Creative Convergence or Imitation? Genre-Specific Homogeneity in LLM-Generated Chinese Literature
- MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions
- Data Darwinism Part II: DataEvolve -- AI can Autonomously Evolve Pretraining Data Curation
- Deep EM with Hierarchical Latent Label Modelling for Multi-Site Prostate Lesion Segmentation
- Histo-MExNet: A Unified Framework for Real-World, Cross-Magnification, and Trustworthy Breast Cancer Histopathology
- G-ZAP: A Generalizable Zero-Shot Framework for Arbitrary-Scale Pansharpening
- BiT-MCTS: A Theme-based Bidirectional MCTS Approach to Chinese Fiction Generation
- PGcGAN: Pathological Gait-Conditioned GAN for Human Gait Synthesis
- Towards One-for-All Anomaly Detection for Tabular Data
- Graph-Based Deep Learning for Intelligent Detection of Energy Losses, Theft, and Operational Inefficiencies in Oil & Gas Production Networks
- OCRA: Object-Centric Learning with 3D and Tactile Priors for Human-to-Robot Action Transfer
- Extending Minimal Pairs with Ordinal Surprisal Curves and Entropy Across Applied Domains
- Label Noise Cleaning for Supervised Classification via Bernoulli Random Sampling
- StAR: Segment Anything Reasoner
- LoCAtion: Long-time Collaborative Attention Framework for High Dynamic Range Video Reconstruction
- Content Creation with Spillovers: An Incentive Design Approach
- From Specification to Architecture: A Theory Compiler for Knowledge-Guided Machine Learning
- AerialVLA: A Vision-Language-Action Model for UAV Navigation via Minimalist End-to-End Control
- BROTHER: Behavioral Recognition Optimized Through Heterogeneous Ensemble Regularization for Ambivalence and Hesitancy
- M2RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling
- Refold: Refining Protein Inverse Folding with Efficient Structural Matching and Fusion
- Motivation in Large Language Models
- Localizing and Editing Knowledge in Large Audio-Language Models
- Generation of Human Comprehensible Access Control Policies from Audit Logs
- AvatarForcing: One-Step Streaming Talking Avatars via Local-Future Sliding-Window Denoising
- Fundamental Limits of CSI Compression in FDD Massive MIMO
- Consistent Learning-to-Defer with Expert-Conditional Advice
- Personalized Cell Segmentation: Benchmark and Framework for Reference-Guided Cell Type Segmentation
- Structure-Dependent Regret and Constraint Violation Bounds for Online Convex Optimization with Time-Varying Constraints
- Direct Object-Level Reconstruction via Probabilistic Gaussian Splatting
- Enhancing LLM Training via Spectral Clipping
- Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models
- Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange
- In-Field 3D Wheat Head Instance Segmentation From TLS Point Clouds Using Deep Learning Without Manual Labels
- A Physically-Grounded Attack and Adaptive Defense Framework for Real-World Low-Light Image Enhancement
- 4D Synchronized Fields: Motion-Language Gaussian Splatting for Temporal Scene Understanding
- Show Me When and Where: Towards Referring Video Object Segmentation in the Wild
- RL-ScanIQA: Reinforcement-Learned Scanpaths for Blind 360degImage Quality Assessment
- RegFormer++: An Efficient Large-Scale 3D LiDAR Point Registration Network with Projection-Aware 2D Transformer
- Windowed Fourier Propagator: A Frequency-Local Neural Operator for Wave Equations in Inhomogeneous Media
- High-Fidelity Compression of Seismic Velocity Models via SIREN Auto-Decoders
- Multi-Period Texture Contrast Enhancement for Low-Contrast Wafer Defect Detection and Segmentation
- DC-ViT: Modulating Spatial and Channel Interactions for Multi-Channel Images
- All-day Multi-scenes Lifelong Vision-and-Language Navigation with Tucker Adaptation
- Learning in Function Spaces: An Unified Functional Analytic View of Supervised and Unsupervised Learning
- Toward Clinically Ready Foundation Models in Medical Image Analysis: Adaptation Mechanisms and Deployment Trade-offs
- GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
- Sampling Boltzmann distributions via normalizing flow approximation of transport maps
- Automatic Inter-document Multi-hop Scientific QA Generation
- ITKIT: Feasible CT Image Analysis based on SimpleITK and MMEngine
- ZOTTA: Test-Time Adaptation with Gradient-Free Zeroth-Order Optimization
- MistExit: Learning to Exit for Early Mistake Detection in Procedural Videos
- OAHuman: Occlusion-Aware 3D Human Reconstruction from Monocular Images
- BIT: Matching-based Bi-directional Interaction Transformation Network for Visible-Infrared Person Re-Identification
- FOCUS: Bridging Fine-Grained Recognition and Open-World Discovery across Domains
- Domain-Skewed Federated Learning with Feature Decoupling and Calibration
- S2GS: Streaming Semantic Gaussian Splatting for Online Scene Understanding and Reconstruction
- Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation
- A Real-Time Neuro-Symbolic Ethical Governor for Safe Decision Control in Autonomous Robotic Manipulation
- Interleaved Resampling and Refitting: Data and Compute-Efficient Evaluation of Black-Box Predictors
- UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation
- Vavanagi: a Community-run Platform for Documentation of the Hula Language in Papua New Guinea
- Selective Noise Suppression and Discriminative Mutual Interaction for Robust Audio-Visual Segmentation
- Efficient Federated Conformal Prediction with Group-Conditional Guarantee
- Walking Further: Semantic-aware Multimodal Gait Recognition Under Long-Range Conditions
- Joint Segmentation and Grading with Iterative Optimization for Multimodal Glaucoma Diagnosis
- Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer
- Setting-Matched and Semantics-Scaled Benchmarking of One-Step Generative Models Against Multistep Diffusion and Flow Models
- Selective Fine-Tuning of GPT Architectures for Parameter-Efficient Clinical Text Classification
- Artificial intelligence-enabled single-lead ECG for non-invasive hyperkalemia detection: development, multicenter validation, and proof-of-concept deployment
- BluRef: Unsupervised Image Deblurring with Dense-Matching References
- Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
- TACTIC for Navigating the Unknown: Tabular Anomaly deteCTion via In-Context inference
- Beyond Means: Topological Causal Effects under Persistent-Homology Ignorability
- Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects