Minghao Wu
4 papers in the PaperMetrix corpus
Papers by this author
-
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
2024 · arXiv (Cornell University)
Large language models (LLMs) are typically fine-tuned on diverse and extensive datasets sourced from various origins to develop a comprehensive range of skills, such as writing, reasoning, chatting, coding, and more. Each skill has unique …
-
Demystifying Instruction Mixing for Fine-tuning Large Language Models
2024
Renxi Wang, Haonan Li, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Timothy Baldwin. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop). 2024.
-
Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation
2024
Longyue Wang, Siyou Liu, Chenyang Lyu, Wenxiang Jiao, Xing Wang, Jiahao Xu, Zhaopeng Tu, Yan Gu, Weiyu Chen, Minghao Wu, Liting Zhou, Philipp Koehn, Andy Way, Yulin Yuan. Proceedings of the Ninth Conference on Machine …
-
ExpertSteer: Intervening in LLMs through Expert Knowledge
2025 · arXiv (Cornell University)
Large Language Models (LLMs) exhibit remarkable capabilities across various tasks, yet guiding them to follow desired behaviours during inference remains a significant challenge. Activation steering offers a promising method to control the generation process of …