most citedBLINK: Multimodal Large Language Models Can See but Not Perceive

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cs.CV2024

Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies

Hung-Ting Su, Chun-Tong Chao, Ya-Ching Hsu +4

Large Language Models (LLMs) have demonstrated effectiveness not only in language tasks but also in video reasoning. This paper introduces a novel dataset, Tropes in Movies (TiM),…

cs.CV2024★ 1 cited

BLINK: Multimodal Large Language Models Can See but Not Perceive

Xingyu Fu, Yushi Hu, Bangzheng Li +7

We introduce Blink, a new benchmark for multimodal language models (LLMs) that focuses on core visual perception abilities not found in other evaluations. Most of the Blink tasks c…