作者位次 #2/3ACL 2026Poster· Natural Language Processing
H ypo E val: Hypothesis-Guided Evaluation for Natural Language Generation
Mingxuan Li · Hanchen Li · Chenhao Tan
摘要
Large language models (LLMs) have demonstrated great potential for automating the evaluation of natural language generation. Previous frameworks of LLM-as-a-judge fall short in two ways: they either use zero-shot setting without consulting any human input, which leads to low alignment, or fine-tu...