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most citedxGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs

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cs.CV2026

LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs

Keda Tao, Yuhua Zheng, Jia Xu +13

Recent advancements in omnimodal large language models (OmniLLMs) have significantly improved the comprehension of audio and video inputs. However, current evaluations primarily fo…