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Lefei Zhang

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Conference Open access 2026

Vista-LLM: Decoupled Query-Guided Visual Token Pruning for Efficient Long-Video Large Language Models

Vista-LLM is introduced, a decoupled framework for query-guided visual token pruning that reduces visual tokens by 90% and accelerates inference while retaining over 98% of baseline performance on average, effectively filtering visual noise.

Zhenyu Li, Zuchao Li, Ping Wang et al. · 0 citations

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