activity
20242026
most citedAligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

2 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing cs.HCShow all

1 paper · 1 filter

cs.HC2024★ 2 cited

Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

Zahra Ashktorab, Michael Desmond, Qian Pan +7

Evaluation of large language model (LLM) outputs requires users to make critical judgments about the best outputs across various configurations. This process is costly and takes ti…