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News/Omni-Prune: Query-Aware Unified Token Pruning for Efficient Omnimodal Large Language Models
arxiv
PublishedJuly 28, 2026 at 4:00 AM
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Omni-Prune: Query-Aware Unified Token Pruning for Efficient Omnimodal Large Language Models

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arXiv:2607.23445v1 Announce Type: cross Abstract: Omnimodal large language models (OmniLLMs) are rapidly extending multimodal reasoning to cover synchronized audio and video. However, the resulting audio-video token sequences are long, leading to high prefill latency and GPU memory usage at inferenc

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