Marco-Bench-MIF: On multilingual instruction-following capability of large language models
Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), 2025
This paper introduces Marco-Bench-MIF, a comprehensive benchmark designed to evaluate the multilingual instruction-following capabilities of large language models across diverse languages and tasks.
Recommended citation: B Zeng, C Lyu, S Liu, M Zeng, M Wu, X Ni, T Shi, Y Zhao, Y Liu, C Zhu, et al. (2025). "Marco-Bench-MIF: On multilingual instruction-following capability of large language models." Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics.
Download Paper