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20202026
most citedConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models

27 citations · 33 across the 9 of their papers we have counts for

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cs.HC2024

Beyond correlation: The Impact of Human Uncertainty in Measuring the Effectiveness of Automatic Evaluation and LLM-as-a-Judge

Aparna Elangovan, Lei Xu, Jongwoo Ko +4

The effectiveness of automatic evaluation of generative models is typically measured by comparing the labels generated via automation with labels by humans using correlation metric…