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  5. MRCR
Evaluation & Benchmarksaka Multi-Round Co-reference Resolution

MRCR

MRCR is a long-context benchmark that tests whether a model can retrieve and disambiguate one specific message among many similar ones spread across a long conversation.

Ask Melo about this← all terms

Released in April 2025, MRCR plants several near-duplicate messages in a long context window and asks the model to identify a specific one by its position or content, rather than merely proving it can echo back an arbitrary needle. Needle position within the context and the generation seed both change the result, so both must be reported alongside the score.

Related terms

Context WindowHallucinationBIG-benchAdversarial TestingCursorBenchBrowseComp