About Me
Hi, I’m Chenming Tang – a Master’s student in Computer Science at Peking University, advised by Prof. Yunfang Wu. Before that, I got my Bachelor’s degree at School of EECS, Peking University. My research spans various facets of NLP and generally aims to make LMs better assistants for human in various aspects.
Agentic reinforcement learningLM memoryLM personalizationFinancial LMs
I’m actively seeking a PhD opportunity for Fall 2027 (US, SG and HK preferred), and I’d love to connect with like-minded academic researchers.
For an in-depth overview of my background and accomplishments, please feel free to check out CV Contact
Education
2024 - Present M.S. (Academic) in Computer Science
2020 - 2024 B.S. in Computer Science
Selected Publications
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions EMNLP 2025 Findings
Chenming Tang*, Zhixiang Wang*, Hao Sun, Yunfang Wu
Findings of the Association for Computational Linguistics: EMNLP 2025
Publication Preprint Code
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation EMNLP 2024
Chenming Tang, Zhixiang Wang, Yunfang Wu
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Publication Preprint Code
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction NAACL 2024
Chenming Tang, Fanyi Qu, Yunfang Wu
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Publication Preprint Code
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction? ACL 2023
Chenming Tang, Xiuyu Wu, Yunfang Wu
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Publication Preprint Code
Internship
Jul 2025 - Jun 2026 Research Intern
Honors and Awards
2024 Outstanding Graduate
2023 Exceptional Award for Academic Innovation
2023 Merit Student
2023 First prize
2022 Second place
/etc
I aim to pursue a career in academia rather than industry. I prioritize intellectual freedom over short-term commercial outcomes. I also place a high value on work-life balance, as I believe sustainable pace and well-being are essential for durable, creative, and thoughtful research.
When I am not doing research, I enjoy investment, practice the art of Chinese calligraphy, and listen to music by Vivaldi, Bach, Brahms, Rachmaninoff, et al. One of my favorite music works these months is Symphony No. 4 by Brahms.
