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Mingchen Li

mingchenli@umass.edu. My principal research interests lie in the area of knowledge graph and natural language processing (e.g. knowledge graph embedding, question answering over KG, zero shot learning, etc).

Selected Preprints

  • Jiatan Huang*, Mingchen Li*, Zonghai Yao, Zhichao Yang, Yongkang Xiao, Feiyun Ouyang, Xiaohan Li, Shuo Han, Hong Yu. RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs, 2024. [PDF].

  • Mingchen Li, Jiatan Huang, Jeremy Yeung, Anne Blaes, Steven Johnson, Hongfang Liu, Hua Xu, Rui Zhang. CancerLLM: A Large Language Model in Cancer Domain, 2024. [PDF].

  • Mingchen Li, Zaifu Zhan, Han Yang, Yongkang Xiao, Jiatan Huang, Rui Zhang. Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness, 2024. [PDF][Code][News]

  • Mingchen Li, Halil Kilicoglu, Hua Xu, Rui Zhang. BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine, 2024. [PDF].

Selected Paper Full list

2024

  • Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao. A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models. IEEE International Conference on Data Mining. ICDM, 2024. (Acceptance Rate: 19.5%), accepted, 2024. [PDF] [Code]

  • Mingchen Li, HuiXue Zhou, Han Yang, Rui Zhang. RT: A Retrieving and Chain-of-Thought Framework for Few-Shot Medical Named Entity Recognition. Journal of the American Medical Informatics Association. JAMIA 2024. [PDF][Code]

2023

  • Mingchen Li, Lifu Huang. Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieva, SIGIR 2023. accepted, 2023 (long paper). [PDF] [Code]

2022

  • Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang and Yang Ye. A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP2022, accepted, 2022 (long paper, finding track). [PDF] [Code].

  • Mingchen Li and Jonathan Shihao Ji. Semantic-Structure based Query Graph Prediction for KGQA. The 28st International Conference on Computational Linguistics, Coling 2022, accepted, 2022 (long paper). [PDF] [Code].

2021 and Before

  • Mingchen Li. A system of Chinese Medical Multi-Hop Question Answering over Knowledge Graph. (system) [Code]. 08.2020.

  • Mingchen Li. A novel Chinese medical QA dataset (LiCHD-1). (dataset) [Code]. 03.2020.

  • Mingchen Li ,Zili Zhou and Yanna Wang. Multi-Fusion Chinese WordNet (MCW): Compound of Machine Learning and Manual Correction. CICLING 2019. [PDF].

  • Mingchen Li ,Zili Zhou and Yanna Wang. Solving the Chinese Physical Problem Based on Deep Learning and Knowledge Graph. 7th International Conference on Information Technology in Education. ICITE 2019. [PDF].

  • Yanna Wang, Zili Zhou, Mingchen Li, Yantian Hu, Zheng Su, Dezhi Rong and Ning Zhang. An intelligent collection system for testing paper. 2017. Publication number: CN107908752A. (Patent, 1st student author).

  • Zili Zhou, Yanna Wang, Jinghu Zhang, Ning Zhang, Mingchen Li and Dezhi Rong. An intelligent hardware control method driven by knowledge graph. 2017. Publication number: CN107272521B. (Patent, 2nd student author)