most citedmRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation

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cs.LG2026

Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs

Kibum Kim, Jiwan Kim, Kyle Min +4

Video Large Language Models (Video LLMs) incur high inference latency due to a large number of visual tokens provided to LLMs. To address this, training-free visual token pruning h…