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MCP-38: A Comprehensive Threat Taxonomy for Model Context Protocol Systems (v1.0)
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Directing the Narrative: A Finetuning Method for Controlling Coherence and Style in Story Generation
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GUIDE: GenAI Units In Digital Design Education
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WINFlowNets: Warm-up Integrated Networks Training of Generative Flow Networks for Robotics and Machine Fault Adaptation
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From Words to Worlds: Benchmarking Cross-Cultural Cultural Understanding in Machine Translation
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3D MRI-Based Alzheimer's Disease Classification Using Multi-Modal 3D CNN with Leakage-Aware Subject-Level Evaluation
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Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
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Beyond bouba/kiki: Multidimensional semantic signals are deeply woven into the fabric of natural language
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Symphony: A Cognitively-Inspired Multi-Agent System for Long-Video Understanding
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A Synthesizable RTL Implementation of Predictive Coding Networks
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ReLMXEL: Adaptive RL-Based Memory Controller with Explainable Energy and Latency Optimization
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InfoDensity: Rewarding Information-Dense Traces for Efficient Reasoning
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Ruyi2.5 Technical Report
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Recurrent Reasoning with Vision-Language Models for Estimating Long-Horizon Embodied Task Progress
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A Proposal-Free Query-Guided Network for Grounded Multimodal Named Entity Recognition
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Physics-informed offline reinforcement learning eliminates catastrophic fuel waste in maritime routing
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DarkDriving: A Real-World Day and Night Aligned Dataset for Autonomous Driving in the Dark Environment
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ShuttleEnv: An Interactive Data-Driven RL Environment for Badminton Strategy Modeling
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MedSAD-CLIP: Supervised CLIP with Token-Patch Cross-Attention for Medical Anomaly Detection and Segmentation
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FineViT: Progressively Unlocking Fine-Grained Perception with Dense Recaptions
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A Progressive Visual-Logic-Aligned Framework for Ride-Hailing Adjudication
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Grid Spatial Understanding: A Dataset for Textual Spatial Reasoning over Grids, Embodied Settings, and Coordinate Structures
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EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection
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Learning Permutation Distributions via Reflected Diffusion on Ranks
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Beyond Outliers: A Data-Free Layer-wise Mixed-Precision Quantization Approach Driven by Numerical and Structural Dual-Sensitivity
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OnlineHMR: Video-based Online World-Grounded Human Mesh Recovery
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PACE-RAG: Patient-Aware Contextual and Evidence-based Policy RAG for Clinical Drug Recommendation
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WebPII: Benchmarking Visual PII Detection for Computer-Use Agents
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A 3D Reconstruction Benchmark for Asset Inspection
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MCoT-MVS: Multi-level Vision Selection by Multi-modal Chain-of-Thought Reasoning for Composed Image Retrieval
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Public Profile Matters: A Scalable Integrated Approach to Recommend Citations in the Wild
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Continually self-improving AI
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Lightweight Adaptation for LLM-based Technical Service Agent: Latent Logic Augmentation and Robust Noise Reduction
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Variational Kernel Design for Internal Noise: Gaussian Chaos Noise, Representation Compatibility, and Reliable Deep Learning
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Towards Safer Large Reasoning Models by Promoting Safety Decision-Making before Chain-of-Thought Generation
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Material Magic Wand: Material-Aware Grouping of 3D Parts in Untextured Meshes
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Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift
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MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation
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Interpretable Context Methodology: Folder Structure as Agentic Architecture
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Speak, Segment, Track, Navigate: An Interactive System for Video-Guided Skull-Base Surgery
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3D tomography of exchange phase in a Si/SiGe quantum dot device
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Residual Stream Duality in Modern Transformer Architectures
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Power Analysis for Prediction-Powered Inference
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Shuffling the Stochastic Mirror Descent via Dual Lipschitz Continuity and Kernel Conditioning
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Collaborative Temporal Feature Generation via Critic-Free Reinforcement Learning for Cross-User Sensor-Based Activity Recognition
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Enhancing Linguistic Generalization of VLA: Fine-Tuning OpenVLA via Synthetic Instruction Augmentation
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POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs
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The Era of End-to-End Autonomy: Transitioning from Rule-Based Driving to Large Driving Models
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A Context Alignment Pre-processor for Enhancing the Coherence of Human-LLM Dialog
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ARISE: Agent Reasoning with Intrinsic Skill Evolution in Hierarchical Reinforcement Learning
