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RARE disease detection from Capsule Endoscopic Videos based on Vision Transformers
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Persistence Spheres: a Bi-continuous Linear Representation of Measures for Partial Optimal Transport
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RieMind: Geometry-Grounded Spatial Agent for Scene Understanding
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Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization
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When Does Sparsity Mitigate the Curse of Depth in LLMs
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AI Evasion and Impersonation Attacks on Facial Re-Identification with Activation Map Explanations
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SFCoT: Safer Chain-of-Thought via Active Safety Evaluation and Calibration
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SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
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A Closer Look into LLMs for Table Understanding
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Pointing-Based Object Recognition
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Detection of Autonomous Shuttles in Urban Traffic Images Using Adaptive Residual Context
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Fusian: Multi-LoRA Fusion for Fine-Grained Continuous MBTI Personality Control in Large Language Models
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TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems
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SEA-Vision: A Multilingual Benchmark for Comprehensive Document and Scene Text Understanding in Southeast Asia
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A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
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Local Urysohn Width: A Topological Complexity Measure for Classification
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RESQ: A Unified Framework for REliability- and Security Enhancement of Quantized Deep Neural Networks
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GDPO-SR: Group Direct Preference Optimization for One-Step Generative Image Super-Resolution
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AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation
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Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities
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MA-VLCM: A Vision Language Critic Model for Value Estimation of Policies in Multi-Agent Team Settings
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CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model Agents
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Invisible failures in human-AI interactions
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Physics-informed fine-tuning of foundation models for partial differential equations
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Gym-V: A Unified Vision Environment System for Agentic Vision Research
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Real-Time Human Frontal View Synthesis from a Single Image
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Listening to the Echo: User-Reaction Aware Policy Optimization via Scalar-Verbal Hybrid Reinforcement Learning
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MV2UV: Generating High-quality UV Texture Maps with Multiview Prompts
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Deep Reinforcement Learning for Fano Hypersurfaces
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Music Genre Classification: A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches
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Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting
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GLANCE: Gaze-Led Attention Network for Compressed Edge-inference
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A Framework for Modeling Liquefaction-Induced Road Disruptions After Earthquakes: Implications for Emergency Response and Access in the Cascadia Region of North America
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Evasive Intelligence: Lessons from Malware Analysis for Evaluating AI Agents
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Evaluating Time Awareness and Cross-modal Active Perception of Large Models via 4D Escape Room Task
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RoCo Challenge at AAAI 2026: Benchmarking Robotic Collaborative Manipulation for Assembly Towards Industrial Automation
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Automated Counting of Stacked Objects in Industrial Inspection
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Anchor then Polish for Low-light Enhancement
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Agent Lifecycle Toolkit (ALTK): Reusable Middleware Components for Robust AI Agents
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Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation
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ViFeEdit: A Video-Free Tuner of Your Video Diffusion Transformer
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TabKD: Tabular Knowledge Distillation through Interaction Diversity of Learned Feature Bins
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Talk, Evaluate, Diagnose: User-aware Agent Evaluation with Automated Error Analysis
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RSGen: Enhancing Layout-Driven Remote Sensing Image Generation with Diverse Edge Guidance
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Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation
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Grokking as a Variance-Limited Phase Transition: Spectral Gating and the Epsilon-Stability Threshold
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Real-Time Oriented Object Detection Transformer in Remote Sensing Images
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Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty
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Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains
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Federated Learning of Binary Neural Networks: Enabling Low-Cost Inference
