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DEPART: DEcomposing PARiTy across Multilingual LLMs
多语言大模型语言间性能差异并非随机，DEPART方法系统分解偏差根源，助力提升模型公平性。
arXiv:2605.28163v1 Announce Type: cross Abstract: Multilingual Large Language Models (mLLMs) leaderboards report per-language accuracy but rarely expl…