Mo Li

Ph.D. Candidate at Tsinghua University.

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I am Mo Li (李墨), a second-year Ph.D. candidate at Tsinghua University, jointly supervised by Prof. Ting Cao, Dr. Kai Chen, Prof. Yunxin Liu, and Prof. Harry Shum. I got my Bachelor’s degree in Data Science and Big Data Technology from Harbin Institute of Technology, Shenzhen. My research interests include Large Language Models, Agent RL, Long Context, and Data Science. Beyond my research, I am curious about understanding the universe.

I enjoy vibe coding and build practical tools in my spare time: ccblog for AI-driven blog publishing to WeChat Official Account, Understand Everything for transforming code repositories into interactive documentation, and Whisper-Input-Next for intelligent voice transcription. I was also a main contributor to OpenCompass and VLMEvalKit, which are one-stop platforms for large model evaluation.

Other Info: I’m an INTP who started university at 16 and began my Ph.D. journey at 20. I enjoy phonk music and my favorite anime character is L Lawliet.

Academic Service: Reviewer for ACL Rolling Review (ARR) 2025, ICLR 2026.

News

Jun 20, 2025 Started my internship at Moonshot AI, focusing on research in Agent RL, Multi-Agent Systems, and Long Context technologies.
Jan 07, 2025 As a co-founder, our product PETPA Multi-Pet Feeder won the CES 2025 Innovation Award ! Read more on LinkedIn.
Nov 27, 2023 I started my internship with OpenMMLab at Shanghai AI Laboratory.
Sep 01, 2022 I was selected as an X-institute Scholar in the Shenzhen X-institute.

Selected Publications (Full List)

  1. sculptor.png
    Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management
    Mo Li, L. H. Xu, Qitai Tan, Long Ma, Ting Cao, and Yunxin Liu
    arXiv Preprint, 2025
  2. needlebench.png
    NeedleBench: Evaluating LLM Retrieval and Reasoning Across Varying Information Densities
    Mo Li, Songyang Zhang, Taolin Zhang, Haodong Duan, Yunxin Liu, and Kai Chen
    Transactions on Machine Learning Research (TMLR), 2025
  3. syntsbench.png
    SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
    Qitai Tan*, Yiyun Chen*, Mo Li*, Ruiwen Gu, Yilin Su, and Xiao-Ping Zhang
    In Proceeding of Advances in Neural Information Processing Systems (NeurIPS), 2025
  4. condor.png
    Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
    Maosong Cao, Taolin Zhang, Mo Li, Chuyu Zhang, Yunxin Liu, Conghui He, Haodong Duan, Songyang Zhang, and Kai Chen
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), Jul 2025
  5. InternLM2-7B-200K_Needle_In_A_Haystack_Test.png
    InternLM2 Technical Report
    Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao , and 85 more authors
    arXiv Preprint, Jul 2024
  6. vlmevalkit.jpeg
    VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
    Haodong Duan, Xinyu Fang, Junming Yang, Xiangyu Zhao, Yuxuan Qiao, Mo Li, Amit Agarwal, Zhe Chen, Lin Chen, Yuan Liu, Yubo Ma, Hailong Sun, Yifan Zhang, Shiyin Lu, Tack Hwa Wong , and 17 more authors
    In Proceeding of The 32nd ACM International Conference on Multimedia (ACM MM), Jul 2024
  7. opencompass.png
    OpenCompass: A Universal Evaluation Platform for Foundation Models
    OpenCompass Contributors
    Github Repository, Jul 2023

Awards

Outstanding Graduate of Harbin Institute of Technology, 2024
National Encouragement Scholarship, 2021, 2022, 2023
Outstanding Student of Harbin Institute of Technology, 2021, 2022, 2023
Grand Prize in the 10th "Teddy Cup" Data Mining Challenge Contest, 2022