Papers
Sat 14 Mar 2026
253 papers
- Front-End Ethics for Sensor-Fused Health Conversational Agents: An Ethical Design Space for BiometricsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Domain-Specialized Tree of Thought through Plug-and-Play PredictorsLLM reasoning → Test-time compute and efficient thinking
- AgriChat: A Multimodal Large Language Model for Agriculture Image UnderstandingMultimodal LLMs / vision-language models → Agricultural vision-language models
- Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMsMultimodal LLMs / vision-language models → Agricultural vision-language models
- MHPO: Modulated Hazard-aware Policy Optimization for Stable Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking FeedbackLLM reasoning → Prompting and chain-of-thought reasoning +1
- IdentityGuard: Context-Aware Restriction and Provenance for Personalized SynthesisLLM safety and security → Watermarking generated content and models
- MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World VideosLLM reasoning → Audio-language model reasoning +1
- Conditional flow matching for physics-constrained inverse problems with finite training dataDiffusion models → Flow matching, time series and science
- Diffusion Reinforcement Learning via Centered Reward DistillationDiffusion models → Diffusion and flow policies for robotics +1
- Improving Visual Reasoning with Iterative Evidence RefinementLLM reasoning → Multimodal reasoning +1
- Revisiting the Perception-Distortion Trade-off with Spatial-Semantic Guided Super-ResolutionDiffusion models → Inverse problems and image restoration
- DeepFix: Debugging and Fixing Machine Learning Workflow using Agentic AILLM agents and tool use → Software engineering coding agents
- TMPDiff: Temporal Mixed-Precision for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Demand-Driven Context: A Methodology for Building Enterprise Knowledge Bases Through Agent FailureLLM reasoning → Reasoning for agents, planning and code +1
- Amortizing Trajectory Diffusion with Keyed Drift FieldsOffline RL and imitation learning from data → Diffusion and flow policies for offline RL +1
- LegacyTranslate: LLM-based Multi-Agent Method for Legacy Code TranslationLLM agents and tool use → Software engineering coding agents
- A Multi-Agent Perception-Action Alliance for Efficient Long Video ReasoningLLM agents and tool use → Multimodal and embodied agents
- The Reasoning Bottleneck in Graph-RAG: Structured Prompting and Context Compression for Multi-Hop QALLM reasoning → Knowledge- and tool-augmented reasoning +2
- GRPO and Reflection Reward for Mathematical Reasoning in Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- EyeWorld: A Generative World Model of Ocular State and DynamicsWorld models → Medical and surgical world models
- Probing neural audio codecs for distinctions among English nuclear tunesMechanistic interpretability → SAE features and their applications
- Beyond Two-stage Diffusion TTS: Joint Structure and Content Refinement via Jump DiffusionDiffusion models → Audio, speech and music
- Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical ReasoningLLM reasoning → Clinical and biomedical applications
- When Visual Privacy Protection Meets Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Chunk-Guided Q-LearningOffline RL and imitation learning from data → Offline RL algorithms +1
- EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram SynthesisDiffusion models → Medical imaging and segmentation
- vla-eval: A Unified Evaluation Harness for Vision-Language-Action ModelsVision-language-action models → VLA architectures and generalization
- IMS3: Breaking Distributional Aggregation in Diffusion-Based Dataset DistillationDiffusion models → Diffusion foundations and sampling
- ToolFlood: Beyond Selection -- Hiding Valid Tools from LLM Agents via Semantic CoveringLLM agents and tool use → Tool learning and function calling
- Sat-JEPA-Diff: Bridging Self-Supervised Learning and Generative Diffusion for Remote SensingDiffusion models → Inverse problems and image restoration
- GroupGuard: A Framework for Modeling and Defending Collusive Attacks in Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMsLLM reasoning → LLM reasoning for recommendation
- OmniCompliance-100K: A Multi-Domain, Rule-Grounded, Real-World Safety Compliance DatasetLLM safety and security → Safety alignment, refusal and guardrails
- Discriminative Flow Matching Via Local Generative PredictorsDiffusion models → Flow matching, time series and science
- SmoothVLA: Aligning Vision-Language-Action Models with Physical Constraints via Intrinsic Smoothness OptimizationVision-language-action models → Reinforcement learning and post-training
- Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene GenerationDiffusion models → 3D, point cloud and scene generation
- CT-Conditioned Diffusion Prior with Physics-Constrained Sampling for PET Super-ResolutionDiffusion models → Medical imaging and segmentation
- UVLM: A Universal Vision-Language Model Loader for Reproducible Multimodal BenchmarkingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Beyond Self-Interest: Modeling Social-Oriented Motivation for Human-like Multi-Agent InteractionsLLM agents and tool use → Social simulation and multi-agent debate
- Path-conditioned Reinforcement Learning-based Local Planning for Long-Range NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
- SCoCCA: Multi-modal Sparse Concept Decomposition via Canonical Correlation AnalysisLLM reasoning → Multimodal reasoning +1
- Step-CoT: Stepwise Visual Chain-of-Thought for Medical Visual Question AnsweringLLM reasoning → Clinical and biomedical applications
- How do Role Models Shape Collective Morality? Exemplar-Driven Moral Learning in Multi-Agent SimulationLLM agents and tool use → Social simulation and multi-agent debate
- APEX-Searcher: Refining Credit Assignment with Subgoaling for Agentic Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Sirens' Whisper: Inaudible Near-Ultrasonic Jailbreaks of Speech-Driven LLMsLLM safety and security → Audio jailbreaks and speech backdoors
- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +2
- ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse DynamicsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Building Explicit World Model for Zero-Shot Open-World Object ManipulationWorld models → Embodied and robot world models
- PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall NowcastingMixture-of-experts → MoE for time series and graphs
- Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in SpaceLLM reasoning → Clinical and biomedical applications +1
- Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and ExpressionLLM safety and security → Federated unlearning and poisoning
- DeceptGuard :A Constitutional Oversight Framework For Detecting Deception in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- ST-VLA: Enabling 4D-Aware Spatiotemporal Understanding for General Robot ManipulationVision-language-action models → 3D and spatial-aware VLA
- Your Vision-Language-Action Model Already Has Attention Heads For Path Deviation DetectionVision-language-action models → Failure recovery and robustness
- AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context ComparisonMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Retrieval-Feedback-Driven Distillation and Preference Alignment for Efficient LLM-based Query ExpansionLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation AlignmentDiffusion models → Video generation
- Knowledge Distillation for Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- QTrack: Query-Driven Reasoning for Multi-modal MOTLLM reasoning → Multimodal reasoning
- Exploration-assisted Bottleneck Transition Toward Robust and Data-efficient Deformable Object ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- UniVid: Pyramid Diffusion Model for High Quality Video GenerationDiffusion models → Video generation
- R3-REC: Reasoning-Driven Recommendation via Retrieval-Augmented LLMs over Multi-Granular Interest SignalsLLM reasoning → LLM reasoning for recommendation +1
- Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-IdealityLLM reasoning → Test-time compute and efficient thinking
- Do AI Agents Really Improve Code Readability?LLM agents and tool use → Software engineering coding agents
- Sparse-Dense Mixture of Experts Adapter for Multi-Modal TrackingMixture-of-experts → Multimodal MoE models
- REAEDP: Entropy-Calibrated Differentially Private Data Release with Formal Guarantees and Attack-Based EvaluationLLM safety and security → Membership inference attacks
- REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Steering Generative Models for Accessibility: EasyRead Image GenerationDiffusion models → Image generation, text-to-image and editing
- τ-Voice: Benchmarking Full-Duplex Voice Agents on Real-World DomainsLLM agents and tool use → General LLM agent frameworks and benchmarks
- PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- FMS2: Unified Flow Matching for Segmentation and Synthesis of Thin StructuresDiffusion models → Flow matching, time series and science
- Precautionary Governance of Autonomous AI: Legal Personhood as Functional Instrument
- Coding with Eyes: Visual Feedback Unlocks Reliable GUI Code Generating and Debugging
- Deep Learning for Virtual Reality User Identification: A Benchmark
- When the Loop Closes: Architectural Limits of In-Context Isolation, Metacognitive Co-option, and the Two-Target Design Problem in Human-LLM Systems
- On the First Computer Science Research Paper in an Indian Language and the Future of Science in Indian Languages
- MLFCIL: A Multi-Level Forgetting Mitigation Framework for Federated Class-Incremental Learning in LEO Satellites
- EVNextTrade: Learning-to-Rank-Based Recommendation of Next Charging Nodes for EV-EV Energy Trading
- Fusion Learning from Dynamic Functional Connectivity: Combining the Amplitude and Phase of fMRI Signals to Identify Brain Disorders
- JointFM-0.1: A Foundation Model for Multi-Target Joint Distributional Prediction
- MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
- DPxFin: Adaptive Differential Privacy for Anti-Money Laundering Detection via Reputation-Weighted Federated Learning
- Memory-Driven Role-Playing: Evaluation and Enhancement of Persona Knowledge Utilization in LLMs
- Quotient Geometry and Persistence-Stable Metrics for Swarm Configurations
- Sharpness Aware Surrogate Training for Spiking Neural Networks
- Integrating Explainable Machine Learning and Mixed-Integer Optimization for Personalized Sleep Quality Intervention
- TDMM-LM: Bridging Facial Understanding and Animation via Language Models
- GenLie: A Global-Enhanced Lie Detection Network under Sparsity and Semantic Interference
- Script-to-Slide Grounding: Grounding Script Sentences to Slide Objects for Automatic Instructional Video Generation
- Facial beauty prediction fusing transfer learning and broad learning system
- Spectral Edge Dynamics of Training Trajectories: Signal--Noise Geometry Across Scales
- Clinician input steers AI toward accurate and harmful recommendations
- Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks
- Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories
- SK-Adapter: Skeleton-Based Structural Control for Native 3D Generation
- Seeing Through the PRISM: Compound & Controllable Restoration of Scientific Images
- CIPHER: Culvert Inspection through Pairwise Frame Selection and High-Efficiency Reconstruction
- An Alternative Trajectory for Generative AI
All 253
- Multifidelity Surrogate Modeling of Depressurized Loss of Forced Cooling in High-temperature Gas Reactors
- DualSwinFusionSeg: Multimodal Martian Landslide Segmentation via Dual Swin Transformer with Multi-Scale Fusion and UNet++
- Is the reconstruction loss culprit? An attempt to outperform JEPA
- The GELATO Dataset for Legislative NER
- Implementation and discussion of the Pith Estimation on Rough Log End Images using Local Fourier Spectrum Analysis method
- The Institutional Scaling Law: Non-Monotonic Fitness, Capability-Trust Divergence, and Symbiogenetic Scaling in Generative AI
- Low-Field Magnetic Resonance Image Enhancement using Undersampled k-Space
- Towards Agentic Honeynet Configuration
- Low-Field Magnetic Resonance Image Quality Enhancement using Undersampled k-Space and Out-of-Distribution Generalisation
- OasisSimp: An Open-source Asian-English Sentence Simplification Dataset
- SVD Contextual Sparsity Predictors for Fast LLM Inference
- ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
- Scorio.jl: A Julia package for ranking stochastic responses
- Concisely Explaining the Doubt: Minimum-Size Abductive Explanations for Linear Models with a Reject Option
- Maximin Robust Bayesian Experimental Design
- Not All Latent Spaces Are Flat: Hyperbolic Concept Control
- Soft Mean Expected Calibration Error (SMECE): A Calibration Metric for Probabilistic Labels
- Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference
- Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors
- Effective Feature Learning for 3D Medical Registration via Domain-Specialized DINO Pretraining
- Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI
- CMHL: Contrastive Multi-Head Learning for Emotionally Consistent Text Classification
- Enhancing Eye Feature Estimation from Event Data Streams through Adaptive Inference State Space Modeling
- SGR-OCC: Evolving Monocular Priors for Embodied 3D Occupancy Prediction via Soft-Gating Lifting and Semantic-Adaptive Geometric Refinement
- Enhancing Mental Health Classification with Layer-Attentive Residuals and Contrastive Feature Learning
- Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
- MotionCFG: Boosting Motion Dynamics via Stochastic Concept Perturbation
- Conditioning on a Volatility Proxy Compresses the Apparent Timescale of Collective Market Correlation
- Structured Credal Learning
- Gated Graph Attention Networks for Predicting Duration of Large Scale Power Outages Induced by Natural Disasters
- A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
- NepTam: A Nepali-Tamang Parallel Corpus and Baseline Machine Translation Experiments
- Schr"odinger Bridge Over A Compact Connected Lie Group
- What Counts as Real? Speech Restoration and Voice Quality Conversion Pose New Challenges to Deepfake Detection
- Intrinsic Tolerance in C-Arm Imaging: How Extrinsic Re-optimization Preserves 3D Reconstruction Accuracy
- Benchmarking Open-Source PPG Foundation Models for Biological Age Prediction
- Traffic and weather driven hybrid digital twin for bridge monitoring
- SemEval-2026 Task 6: CLARITY -- Unmasking Political Question Evasions
- High-speed Imaging through Turbulence with Event-based Light Fields
- A Hyperbolic Perspective on Hierarchical Structure in Object-Centric Scene Representations
- EI-Part: Explode for Completion and Implode for Refinement
- Aumann-SHAP: The Geometry of Counterfactual Interaction Explanations in Machine Learning
- Multi-Grained Vision-Language Alignment for Domain Generalized Person Re-Identification
- Formal Abductive Explanations for Navigating Mental Health Help-Seeking and Diversity in Tech Workplaces
- Towards Generalizable Deepfake Detection via Real Distribution Bias Correction
- U-Face: An Efficient and Generalizable Framework for Unsupervised Facial Attribute Editing via Subspace Learning
- The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records
- PhyGaP: Physically-Grounded Gaussians with Polarization Cues
- A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
- Location Aware Embedding for Geotargeting in Sponsored Search Advertising
- Human-like Object Grouping in Self-supervised Vision Transformers
- VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery
- Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
- Exploiting temporal parallelism for LSTM Autoencoder acceleration on FPGA
- FLUX: Data Worth Training On
- Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications
- Leveraging a Statistical Shape Model for Efficient Generation of Annotated Training Data: A Case Study on Liver Landmarks Segmentation
- VID-AD: A Dataset for Image-Level Logical Anomaly Detection under Vision-Induced Distraction
- sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook
- USIS-PGM: Photometric Gaussian Mixtures for Underwater Salient Instance Segmentation
- EviAgent: Evidence-Driven Agent for Radiology Report Generation
- LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement
- DCP-CLIP:A Coarse-to-Fine Framework for Open-Vocabulary Semantic Segmentation with Dual Interaction
- Bidirectional Cross-Attention Fusion of High-Resolution RGB and Low-Resolution Hyperspectral Inputs for Multimodal Semantic Segmentation
- True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity
- Close to Reality: Interpretable and Feasible Data Augmentation for Imbalanced Learning
- Generative Inverse Design of Cold Metals for Low-Power Electronics
- OpenCOOD-Air: Prompting Heterogeneous Ground-Air Collaborative Perception with Spatial Conversion and Offset Prediction
- Evaluation of Visual Place Recognition Methods for Image Pair Retrieval in 3D Vision and Robotics
- Towards Stable Self-Supervised Object Representations in Unconstrained Egocentric Video
- On the Tip of the Tongue: Why LLMs Hallucinate Answers They Can Decode
- FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
- LineMaster Pro: A Low-Cost Intelligent Line Following Robot with PID Control and Ultrasonic Obstacle Avoidance for Educational Robotics
- Pixel-level Scene Understanding in One Token: Visual States Need What-is-Where Composition
- Distributed Acoustic Sensing for Urban Traffic Monitoring: Spatio-Temporal Attention in Recurrent Neural Networks
- MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection
- Robust Self-Training with Closed-loop Label Correction for Learning from Noisy Labels
- Large Language Models Reproduce Racial Stereotypes When Used for Text Annotation
- Multi-Modal Character Localization and Extraction for Chinese Text Recognition
- Benchmarking the Energy Cost of Assurance in Neuromorphic Edge Robotics
- Dual-Strategy Improvement of YOLOv11n for Multi-Scale Object Detection in Remote Sensing Images
- Scribe Verification in Chinese manuscripts using Siamese, Triplet, and Vision Transformer Neural Networks
- GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
- Zero-Forgetting CISS via Dual-Phase Cognitive Cascades
- On Interpolation Formulas Describing Neural Network Generalization
- TransDex: Pre-training Visuo-Tactile Policy with Point Cloud Reconstruction for Dexterous Manipulation of Transparent Objects
- Inevitable Encounters: Backdoor Attacks Involving Lossy Compression
- Geo-ID: Test-Time Geometric Consensus for Cross-View Consistent Intrinsics
- Learning through Creation: A Hash-Free Framework for On-the-Fly Category Discovery
- Can AI Understand the Language of Origami?
- VFM-Loc: Training-Free Cross-View Geo-Localization via Aligning Discriminative Visual Hierarchies
- Power Term Polynomial Algebra for Boolean Logic
- Fronto-parietal and fronto-temporal EEG coherence as predictive neuromarkers of transcutaneous auricular vagus nerve stimulation response in treatment-resistant schizophrenia: A machine learning study
- Exploring the Dimensions of a Variational Neuron
- Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video
- MOGeo: Beyond One-to-One Cross-View Object Geo-localization
- MICRO: A Lightweight Middleware for Optimizing Cross-store Cross-model Graph-Relation Joins [Technical Report]
- Intelligent Materials Modelling: Large Language Models Versus Partial Least Squares Regression for Predicting Polysulfone Membrane Mechanical Performance
- Efficient Semi-Automated Material Microstructure Analysis Using Deep Learning: A Case Study in Additive Manufacturing
- Early Rug Pull Warning for BSC Meme Tokens via Multi-Granularity Wash-Trading Pattern Profiling
- ArrayTac: A Closed-loop Piezoelectric Tactile Platform for Continuously Tunable Rendering of Shape, Stiffness, and Friction
- The Effective Number of Nonzeros: Theory and Regularization for Sparse Recovery
- Evaluating Prompt Robustness in Text-to-Audio Systems for Adaptive Virtual Agents and Game Soundtracks
- Artificial intelligence-driven improvement of hospital logistics management resilience: a practical exploration based on H Hospital
- Collapse or Preserve: Data-Dependent Temporal Aggregation for Spiking Neural Network Acceleration
- An Interpretable and Stable Framework for Sparse Principal Component Analysis
- Memory-efficient Continual Learning with Prototypical Exemplar Condensation
- ALTIS: Automated Loss Triage and Impact Scoring from Sentinel-1 SAR for Property-Level Flood Damage Assessment
- Node Role-Guided LLMs for Dynamic Graph Clustering
- PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement
- GhanaNLP Parallel Corpora: Comprehensive Multilingual Resources for Low-Resource Ghanaian Languages
- IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring
- Aligning the Query Space: Greedy Information Projection for Language Model Data Selection
- Hierarchy of extreme-event predictability in turbulence revealed by machine learning
- Advancing Cancer Prognosis with Hierarchical Fusion of Genomic, Proteomic and Pathology Imaging Data from a Systems Biology Perspective
- Projection-Free Evolution Strategies for Continuous Prompt Search
- RetimeGS: Continuous-Time Reconstruction of 4D Gaussian Splatting
- Generate Then Correct: Single Shot Global Correction for Aspect Sentiment Quad Prediction
- LiveWeb-IE: A Benchmark For Online Web Information Extraction
- Brain Tumor Classification from 3D MRI Using Persistent Homology and Betti Features: A Topological Data Analysis Approach on BraTS2020
- Causal Tracing of Audio-Text Fusion in Large Audio Language Models
- Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning
- Multimodal Emotion Regression with Multi-Objective Optimization and VAD-Aware Audio Modeling for the 10th ABAW EMI Track
- MeTok: An Efficient Meteorological Tokenization with Hyper-Aligned Group Learning for Precipitation Nowcasting
- Manifold-Orthogonal Dual-spectrum Extrapolation for Parameterized Physics-Informed Neural Networks
- Sub-Band Spectral Matching with Localized Score Aggregation for Robust Anomalous Sound Detection
- Multi-Object Advertisement Creative Generation
- Research Paradigm of Materials Science Tetrahedra with Artificial Intelligence
- Few Batches or Little Memory, But Not Both: Simultaneous Space and Adaptivity Constraints in Stochastic Bandits
- Ego-1K -- A Large-Scale Multiview Video Dataset for Egocentric Vision
- Sky2Ground: A Benchmark for Site Modeling under Varying Altitude
- Implicit Maximum Likelihood Estimation for Real-time Generative Model Predictive Control
- Bodhi VLM: Privacy-Alignment Modeling for Hierarchical Visual Representations in Vision Backbones and VLM Encoders via Bottom-Up and Top-Down Feature Search
- Data-driven Progressive Discovery of Physical Laws
- InterventionLens: A Multi-Agent Framework for Detecting ASD Intervention Strategies in Parent-Child Shared Reading
- RSEdit: Text-Guided Image Editing for Remote Sensing
- Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition
- SAATT Nav: a Socially Aware Autonomous Transparent Transportation Navigation Framework for Wheelchairs
- Repetition Without Exclusivity: Scale Sensitivity of Referential Mechanisms in Child-Scale Language Models
- QuarkMedBench: A Real-World Scenario Driven Benchmark for Evaluating Large Language Models
- Quantum-Enhanced Vision Transformer for Flood Detection using Remote Sensing Imagery
- When Should Humans Step In? Optimal Human Dispatching in AI-Assisted Decisions
- Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation
- Every Error has Its Magnitude: Asymmetric Mistake Severity Training for Multiclass Multiple Instance Learning
- Toward Scalable Co-located Practical Learning: Assisting with Computer Vision and Multimodal Analytics
- TheraAgent: Multi-Agent Framework with Self-Evolving Memory and Evidence-Calibrated Reasoning for PET Theranostics
- Locally Linear Continual Learning for Time Series based on VC-Theoretical Generalization Bounds
- LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes
- SHAMISA: SHAped Modeling of Implicit Structural Associations for Self-supervised No-Reference Image Quality Assessment
- TSDCRF: Balancing Privacy and Multi-Object Tracking via Time-Series CRF and Normalized Control Penalty
- Unsupervised Adaptation from FDG to PSMA PET/CT for 3D Lesion Detection under Label Shift
- Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
- Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision