作者位次 #2/3ACL 2026Poster· Natural Language Processing
Teaching LLM s Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning
Timon Ziegenbein · Maja Stahl · Henning Wachsmuth
摘要
Editing human-written text has become a standard use case of large language models (LLMs), for example, to make one’s arguments more appropriate for a discussion. Comparing human to LLM-generated edits, however, we observe a mismatch in editing strategies: While LLMs often perform multiple scatte...