一作ACL 2026Poster· Natural Language Processing
Toward Robust Evaluation for Multilingual Grammatical Error Correction: Can Large Language Models Replace Human References?
Alla Rozovskaya · Dan Roth
摘要
A standard method for evaluating grammatical error correction systems severely underestimates performance, as it compares outputsagainst a small, fixed set of human references, despite the large space of possible valid corrections. Prior research has shown that using aclosest-gold reference – i.e...