My name is Meiqi Chen (陈美琪), a final-year Ph.D. student in the School of Artificial Intelligence at Peking University (PKU), advised by Prof. Yan Zhang. I also work closely with Prof. Yixin Cao at Fudan University (FDU). My research interests lie in large language models, causal inference, and multi-modal understanding.
📒 Preprint
^ indicates equal contribution.
- Causal Evaluation of Language Models, Sirui Chen^, Bo Peng^, Meiqi Chen, Ruiqi Wang, Mengying Xu, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Yu Qiao, Chaochao Lu.
- From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities, Shanghai AI Lab Team.
- r-GAT: Relational Graph Attention Network for Multi-Relational Graphs, Meiqi Chen, Yuan Zhang, Xiaoyu Kou, Yuntao Li, Yan Zhang.
📝 Publications
^ indicates equal contribution.
- CELLO: Causal Evaluation of Large Vision-Language Models, Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu. EMNLP 2024
- Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective, Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu. Findings of EMNLP 2024
- Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation, Zehao Wang, Minye Wu, Yixin Cao, Yubo Ma, Meiqi Chen, Tinne Tuytelaars. Findings of EMNLP 2024
- MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations, Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun. Neurips 2024 (Spotlight)
- Learning To Teach Large Language Models Logical Reasoning, Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li. ACL 2024 (Oral)
- CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification, Meiqi Chen, Yixin Cao, Yan Zhang, Zhiwei Liu. ACL 2023
- ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification, Meiqi Chen, Yixin Cao, Kunquan Deng, Mukai Li, Kun Wang, Jing Shao, Yan Zhang. COLING 2022 (Oral)
- Hierarchical Hypergraph Recurrent Attention Network for Temporal Knowledge Graph Reasoning, Jiayan Guo, Meiqi Chen, Yan Zhang, Jianqiang Huang, Zhiwei Liu. ICASSP 2023 (Oral)
- MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities, Yubo Ma^, Zehao Wang^, Mukai Li^, Yixin Cao^, Meiqi Chen^, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao. ACL 2022 (Demo Track)
- Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction, Yubo Ma^, Zehao Wang^, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao. ACL 2022
📚 Academic Services
- Reviewer, ACL 2023, CCL 2023, ARR 2023 (EMNLP 2023, NAACL 2023), ARR 2024 (ACL 2024, EMNLP 2024), CCL 2024.
👩🏻🏫 Teaching
- Teaching Assistant, Algorithm Design and Analysis, Peking University, Spring 2022
- Teaching Assistant, Computer Networks and Web Technologies, Peking University, Fall 2021
🎖 Honors and Awards
- 2024.09 Award for Excellent Research, Peking University.
- 2023.09 Award for Excellent Research, Peking University.
- 2023.09 Guangyao & Peking University Scholarship.
- 2023.06 First Prize of Challenge Cup Competition, Peking University.
- 2022.09 Merit Student of Peking University.
- 2022.09 Schlumberger & Peking University Scholarship.
- 2020.03 Award for Excellent Graduates of Sichuan Province (Top 1%)
- 2019.12 Scholarship of Appreciating the Scientists in China (only 12 students in UESTC won this scholarship)
📖 Educations
- 2020.09 - Present, Ph.D. Student, Peking University.
- 2016.09 - 2020.06, BSc degree, University of Electronic Science And Technology of China.
💻 Internships
- Research Intern, Shanghai Artificial Intelligence Laboratory, mentored by Chaochao Lu.
- Research Intern, Microsoft Research Asia (MSRA), mentored by Kaitao Song.
- Research Intern, Sensetime Research, directed by Jing Shao.