I am a fourth-year Ph.D. student at PIE Lab, Wangxuan Institute of Computer Technology, Peking University, advised by Prof. Yansong Feng and Prof. Dongyan Zhao.

I received my B.Sc. degree from School of Electronic Engineering and Computer Science at Peking University in 2021.

[CV] [Google Scholar] [Github] [X]

Currently, my research interests include

• NLP for Low-Resource Languages: Enhancing the transparency, inclusivity, and efficiency in human language technology for underrepresented languages.
• Complex Reasoning with LLMs: Harnessing the potential of LLMs to tackle complex problems and building reliable systems for specialized domains such as law.

Previously, I worked on question answering, focusing on reading comprehension and knowledge base QA.

• [MAR 2025] We release MiLiC-Eval, an NLP evaluation suite for China's minority languages.
• [SEP 2024] Our paper on applying model merging to low-resource languages is accepted to EMNLP 2024.
• [MAY 2024] Our papers on low-resource languages and MoE are accepted to ACL 2024.
• [NOV 2023] We release MC², the largest corpus of minority langugaes in China.

1. Low-Resource Languages & Multilinguality

MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languages
arXiv 2503.01150
Chen Zhang, Mingxu Tao, Zhiyuan Liao, Yansong Feng
[arxiv][github] [huggingface]

Unlocking the Potential of Model Merging for Low-Resource Languages
EMNLP 2024 (Findings)
Mingxu Tao*, Chen Zhang*, Quzhe Huang*, Tianyao Ma, Songfang Huang, Dongyan Zhao, Yansong Feng
[paper][huggingface]

Teaching Large Language Models an Unseen Language on the Fly
ACL 2024 (Findings)
Chen Zhang, Xiao Liu, Jiuheng Lin, Yansong Feng
[paper] [github] [website]

MC²: Towards Transparent and Culturally-Aware NLP for Minority Languages in China
ACL 2024
Chen Zhang*, Mingxu Tao*, Quzhe Huang*, Jiuheng Lin*, Zhibin Chen, Yansong Feng
[paper] [github] [website]

Can LLMs Learn a New Language on the Fly? A Case Study on Zhuang
ICLR 2024 Tiny Paper
Chen Zhang, Mingxu Tao, Quzhe Huang, Zhibin Chen, Yansong Feng
[paper]

Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension
EACL 2023 (Findings)
Chen Zhang, Yuxuan Lai, Yansong Feng, Xingyu Shen, Haowei Du, Dongyan Zhao
[paper] [github]

2. Complex Reasoning with LLMs

Eliciting and Improving the Causal Reasoning Abilities of Large Language Models with Conditional Statements
Computational Linguistics 2025
Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao
[paper]

Harder Task Needs More Experts: Dynamic Routing in MoE Models
ACL 2024
Quzhe Huang*, Zhenwei An*, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng
[paper]

Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?
ICLR 2024 Tiny Paper
Yutong Hu, Quzhe Huang, Mingxu Tao, Chen Zhang, Yansong Feng
[paper]

Lawyer LLaMA: Enhancing LLMs with Legal Knowledge
arXiv 2305.15062
Quzhe Huang*, Mingxu Tao*, Chen Zhang*, Zhenwei An*, Cong Jiang, Zhibin Chen, Zirui Wu, Yansong Feng
[arxiv] [github]

The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
ACL 2023 (Findings)
Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao
[paper] [github]

3. Question Answering

Relation-Aware Question Answering for Heterogeneous Knowledge Graphs
EMNLP 2023 (Findings)
Haowei Du, Quzhe Huang, Chen Li, Chen Zhang, Yang Li, Dongyan Zhao
[paper]

How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension
ACL 2023 (Findings)
Chen Zhang, Jiuheng Lin, Xiao Liu, Yuxuan Lai, Yansong Feng, Dongyan Zhao
[paper] [github]

UnifEE: Unified Evidence Extraction for Fact Verification
EACL 2023
Nan Hu, Zirui Wu, Yuxuan Lai, Chen Zhang, Yansong Feng
[paper] [github]

Knowledge-Enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering
NLPCC 2022
Haowei Du, Quzhe Huang, Chen Zhang, Dongyan Zhao
[paper] [preprint]

Extract, Integrate, Compete: Towards Verification Style Reading Comprehension
EMNLP 2021 (Findings)
Chen Zhang, Yuxuan Lai, Yansong Feng, Dongyan Zhao
[paper] [github]

A review of deep learning in question answering over knowledge bases
AI Open 2021, Volume 2
Chen Zhang, Yuxuan Lai, Yansong Feng, Dongyan Zhao
[paper]

Why Machine Reading Comprehension Models Learn Shortcuts?
ACL-IJCNLP 2021 (Findings)
Yuxuan Lai, Chen Zhang, Yansong Feng, Quzhe Huang, Dongyan Zhao
[paper] [github]

• Long Documents Meet LLMs, December 2023, Sichuan University & Chinese Information Processing Society of China, with Quzhe Huang and Mingxu Tao. [slides]

• Reviewer: ACL Rolling Review (since 2021), ACL (since 2023), EMNLP (since 2022), COLING (since 2022)
• Area Chair: ACL Rolling Review (since 2025)
• Student Volunteer: ACL 2024 (on-site), EMNLP 2021 (remote)

• Foundations of Natural Language Processing, Peking University, Spring 2024 & Spring 2025
• Empirical Methods for Natural Language Processing, Peking University, Spring 2022
• Data Structures and Algorithms, Peking University, Fall 2020 & Spring 2021

• Award for Scientific Research, Peking University, 2024
• Outstanding Graduates of Beijing, Beijing Municipal Education Commission, 2021
• Excellent Graduate, Peking University, 2021
• Best Project, Google ML Winter Camp, 2020 [link]
• Meritorious Winner, Mathematical Contest In Modeling (MCM), 2019
• Merit Student, Peking University, 2018 & 2019
• Founder Scholarship, 2018 & 2019

Wangxuan Institute of Computer Technology, Peking University
No. 128 Zhongguancun North Street
Haidian District, Beijing, 100871
zhangch [at] pku.edu.cn

• My name written in Chinese characters is 张晨. 晨 means morning in Chinese.
• My mother tongue is Jinsha Dialect (金沙话), a transitional dialect between Mandarin and Wu Chinese.
• Besides Chinese and English, I can speak Japanese (intermediate), Spanish (basic) and German (basic).

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