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An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
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GIFT: Global Irreplaceability Frame Targeting for Efficient Video Understanding
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Z-Erase: Enabling Concept Erasure in Single-Stream Diffusion Transformers
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Sparse Visual Thought Circuits in Vision-Language Models
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Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs
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Learning domain-invariant features through channel-level sparsification for Out-Of Distribution Generalization
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Visual Attention Drifts,but Anchors Hold:Mitigating Hallucination in Multimodal Large Language Models via Cross-Layer Visual Anchors
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THEMIS: Towards Holistic Evaluation of MLLMs for Scientific Paper Fraud Forensics
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ETA-VLA: Efficient Token Adaptation via Temporal Fusion and Intra-LLM Sparsification for Vision-Language-Action Models
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Pixelis: Reasoning in Pixels, from Seeing to Acting
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Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
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ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents
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Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization
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From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations for Autonomous Agent Economies
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Unlocking Strong Supervision: A Data-Centric Study of General-Purpose Audio Pre-Training Methods
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UCAgent: An End-to-End Agent for Block-Level Functional Verification
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Layer-Specific Lipschitz Modulation for Fault-Tolerant Multimodal Representation Learning
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OMIND: Framework for Knowledge Grounded Finetuning and Multi-Turn Dialogue Benchmark for Mental Health LLMs
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Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning
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MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning
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MoireMix: A Formula-Based Data Augmentation for Improving Image Classification Robustness
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SEVerA: Verified Synthesis of Self-Evolving Agents
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Deep Learning Aided Vision System for Planetary Rovers
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Do LLMs Know What They Know? Measuring Metacognitive Efficiency with Signal Detection Theory
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A Comparative Investigation of Thermodynamic Structure-Informed Neural Networks
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When Sensing Varies with Contexts: Context-as-Transform for Tactile Few-Shot Class-Incremental Learning
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AnyDoc: Enhancing Document Generation via Large-Scale HTML/CSS Data Synthesis and Height-Aware Reinforcement Optimization
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The Language of Touch: Translating Vibrations into Text with Dual-Branch Learning
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MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
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AirSplat: Alignment and Rating for Robust Feed-Forward 3D Gaussian Splatting
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Denoise and Align: Towards Source-Free UDA for Robust Panoramic Semantic Segmentation
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Robust Principal Component Completion
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RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following
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EgoXtreme: A Dataset for Robust Object Pose Estimation in Egocentric Views under Extreme Conditions
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Reinforcement learning for quantum processes with memory
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SAVe: Self-Supervised Audio-visual Deepfake Detection Exploiting Visual Artifacts and Audio-visual Misalignment
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IncreRTL: Traceability-Guided Incremental RTL Generation under Requirement Evolution
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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation
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ReCUBE: Evaluating Repository-Level Context Utilization in Code Generation
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Learning to Rank Caption Chains for Video-Text Alignment
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Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence
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Goodness-of-pronunciation without phoneme time alignment
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UniAI-GraphRAG: Synergizing Ontology-Guided Extraction, Multi-Dimensional Clustering, and Dual-Channel Fusion for Robust Multi-Hop Reasoning
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Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models
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Vision Hopfield Memory Networks
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Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
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A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection
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SportSkills: Physical Skill Learning from Sports Instructional Videos
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PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation Systems
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Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds
