Benchmark
OpenAI-MRCR: 2 needle 256k
long_context
reasoning
text
Multi-Round Co-reference Resolution (MRCR) benchmark that tests long-context reasoning by evaluating a model's ability to distinguish between similar outputs, reason about ordering, and reproduce specific content from multi-turn conversations containing multiple writing requests on overlapping topics at 256k tokens.
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数据说明
分数为 0-100 百分制综合成绩（Elo 榜为相对评分，仅供同榜内比较）。评测分数属事实数据，整理自公开评测体系与厂商公开资料，部分分数为厂商自报口径，不同榜单的评测方法与数据集可能存在差异，请结合多个榜单交叉参考。
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