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Author

Ying-Jie Lao

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Jul 2026

HAS: Highlight-guided Attention Steering for Multimodal LLM Video Summarization

HAS, a Highlight-guided Attention Steering method for video summarization, considers a challenging but practical setting where the video given to MLLMs for summarize should be continuous but with highlight guidance, and shows convincing performance in video summarization.

Rui Chu, Ying-Jie Lao · 0 citations
Conference Open access Sep 2026

Budget-Aware LLM Quantization and Low-Rank Correction via Information-Guided Subspace Matrices

A training-free framework, BAL-ANCER, which achieves global budget allocation for mixed-precision quantization and low-rank correction through information-guided subspace matrices, allowing a principled greedy allocator to distribute compression bits and ranks across the entire model.

Si-Nuo Fan, Ying-Jie Lao · 0 citations

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