2 citations · 6 across the 9 of their papers we have counts for
Showing cs.HCShow all
2 papers · 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…
cs.HC2024★ 1 cited
Human-Centered Design Recommendations for LLM-as-a-Judge
Qian Pan, Zahra Ashktorab, Michael Desmond +5
Traditional reference-based metrics, such as BLEU and ROUGE, are less effective for assessing outputs from Large Language Models (LLMs) that produce highly creative or superior-qua…