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Chao Huang

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• VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection
• M3-AD: Reflection-aware Multi-modal, Multi-category, and Multi-dimensional Benchmark and Framework for Industrial Anomaly Detection
• CRL-VLA: Continual Vision-Language-Action Learning
• Advancing Adaptive Multi-Stage Video Anomaly Reasoning: A Benchmark Dataset and Method
• Needle in the Web: A Benchmark for Retrieving Targeted Web Pages in the Wild
• When to Think and When to Look: Uncertainty-Guided Lookback
• DRIFT: Transferring Reasoning Priors for Efficient MLLM Fine-Tuning
• XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models
• LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?