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MT-Bench
MT-Bench is identified by its primary project source as an evaluation family covering multi-turn conversation and model judging. This entry publishes independently authored task signatures only.
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.
model judging multi-turn conversation
Primary source: LMSYS Org
Source evidence
Tasks
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Style and substance
Evaluate whether an agent can balance response style with factual and task quality in a comparative response evaluation. Success is determined when the judgment follows the rubric rather than surface verbosity.
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Pairwise preference
Evaluate whether an agent can select the response preferred under a declared human rubric in a blinded pairwise evaluation. Success is determined when the selection matches the recorded preference.
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Tie and uncertainty
Evaluate whether an agent can recognize when two candidate responses are not meaningfully distinguishable in a preference task permitting ties. Success is determined when the judgment matches the declared tie policy.
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Multi-turn quality
Evaluate whether an agent can sustain helpfulness and coherence across a conversation in a multi-turn dialogue evaluation. Success is determined when the dialogue satisfies the declared judging rubric.
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