MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation

ArXi:2604.18914v1 Announce Type: cross 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, and even first-person constructions with explicit and implicit mentions of gender. We