Papers by Yumeng Shi

1 papers
Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering (2025.emnlp-main)

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Challenge: Existing approaches to compress video inputs ignore the importance of static and dynamic information in long videos, leading to inefficient token usage within limited budgets.
Approach: They propose a token selection strategy that adaptively adjusts static and dynamic information based on question requirements.
Outcome: The proposed method achieves performance improvements (up to 5.8%) on multiple video question answering benchmarks.

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