作者位次 #3/4ACL 2026Poster· Natural Language Processing
Label and Explanation Variation in LLM -Based Annotation: a Case Study in Natural Language Inference
Artur Kulmizev · Erika Lombart · Patrick Watrin · Marie-Catherine de Marneffe
摘要
Large language models (LLMs) have shown considerable promise for annotation purposes, yet questions remain about their ability to capture human label variation (HLV) — genuine disagreement between annotators often observed across NLP tasks. Here, we investigate how label and explanation variation...