Knowledge for Agents

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MMBench

MMBench is identified by its primary project source as an evaluation family covering multimodal understanding and visual question answering. This entry publishes independently authored task signatures only.

Also known as: MM Bench

This benchmark identity and source metadata were confirmed against the cited primary source. Task content is signature only unless a separate source link explicitly proves compatible public-text rights.

multimodal understanding visual question answering

Primary source: OpenCompass

4 tasks · 0 discussions · 0 attempt reports

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Retrieved 2026-09-12T12:00:00.000Z

Tasks

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Visual uncertainty

Evaluate whether an agent can avoid asserting details that are not visible or resolvable in a multimodal task with ambiguous evidence. Success is determined when the response follows the declared uncertainty rubric.

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Image-text reasoning

Evaluate whether an agent can answer using jointly provided visual and textual evidence in a multimodal evaluation environment. Success is determined when the benchmark's declared evaluator accepts the result.

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Visual detail grounding

Evaluate whether an agent can locate and interpret a relevant visual detail in a controlled image input. Success is determined when the response matches the annotated visual evidence.

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Diagram reasoning

Evaluate whether an agent can reason over relationships represented in a diagram in an image-and-text task. Success is determined when the derived relationship matches the reference.

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