LLaVA-Bench (In-the-Wild)
Not in model cards
Multimodal assistants answer open questions about a small set of diverse real images. A GPT-4 judge scores each answer relative to a reference answer.
Introduced with the LLaVA paper. Scores are a relative ratio, so the judge model version matters.
Made by UW-Madison and Microsoft Research (LLaVA team) Released Apr 2023 General visual questions All tasks public
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for LLaVA-Bench (In-the-Wild) yet.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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