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about GPT-4o results #7

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SensetimeJiahao opened this issue Jan 7, 2025 · 1 comment
Open

about GPT-4o results #7

SensetimeJiahao opened this issue Jan 7, 2025 · 1 comment

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@SensetimeJiahao
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Hi authors,

The work is truly inspiring! Could you share how you evaluated GPT-4o on the ET-bench, given that 4o cannot directly extract time-related information from video inputs? Additionally, do you have plans to release the pipeline/prompts used for evaluating commercial MLLM? Thanks a lot.

@yeliudev
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Hi @SensetimeJiahao, thanks for your interest in our work!

For GPT-4o and GPT-4V, we uniformly sample 8 frames and append the following prompt before each sample's instruction.

You are given 8 uniformly sampled frames from a {duration} seconds long video. Try your best to understand it and do not refuse to answer.

For Gemini-1.5-Pro and Gemini-1.5-Flash, we simply upload the raw video files and use exactly the same prompts (those in the annotation files) as open-source models.

Please kindly let me know if you have further questions.

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