128 citations · 173 across the 25 of their papers we have counts for
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cs.LG2025
LLMs Judging LLMs: A Simplex Perspective
Patrick Vossler, Fan Xia, Yifan Mai +2
Given the challenge of automatically evaluating free-form outputs from large language models (LLMs), an increasingly common solution is to use LLMs themselves as the judging mechan…
cs.LG2024★ 3 cited
Language model developers should report train-test overlap
Andy K Zhang, Kevin Klyman, Yifan Mai +4
Language models are extensively evaluated, but correctly interpreting evaluation results requires knowledge of train-test overlap which refers to the extent to which the language m…