一作ACL 2026Poster· Natural Language Processing
MORPHOGEN : A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation
Mehul Agarwal · Aditya Aggarwal · Arnav Goel · Medha Hira · Anubha Gupta
摘要
While multilingual large language models (LLMs) perform well on high-level tasks like translation and question answering, their ability to handle grammatical gender and morphological agreement remains underexplored. In morphologically rich languages, gender influences verb conjugation, pronouns,...