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Jianglin Lu

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#artificial intelligence Preprint Oct 2026

RACER: Reflective Agent Coupling Query Interpretation and Tool-Based Retrieval for Frame Selection in Long Video Understanding

Video large language models (Vid-LLMs) excel at diverse video-language tasks by reasoning over selected frames. However, frame selection for long videos remains challenging, as it requires retrieving relevant frames distributed across segments from a large candidate pool given complex queries. This paper investigates d...

Yiyang Huang, Yi-Tian Zhang, Yi-Zhou Wang et al. · 0 citations
Conference Open access 2026

ACBQ: Adaptive Cross-Block Quantization of Large Language Models

ACBQ is presented, a simple yet effective framework that simultaneously addresses weight–activation joint quantization and extreme low-bit weight quantization and an adaptive cross-block quantization strategy that explicitly accounts for cross-layer dependencies by encouraging consistency across blocks.

Hailing Wang, Jianglin Lu, Yitian Zhang et al. · 0 citations

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