作者位次 #3/5ACL 2026Poster· Natural Language Processing
Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors
Raoyuan Zhao · Yihong Liu · Lena Altinger · Hinrich Schuetze · Michael A. Hedderich
摘要
Large language models (LLMs) are increasingly deployed in multilingual, real-world applications with user inputs – naturally introducing typographical errors (typos). Yet most benchmarks assume clean input, leaving the robustness of LLMs to typos across languages largely underexplored. To address...