Maoqi Liu 「刘茂琦」

Graduate Student @ BUPT · Research Intern @ ByteDance Data

I am a first-year graduate student at the School of Artificial Intelligence, Beijing University of Posts and Telecommunications, advised by Prof. Fang Quan in the MKC Group. Currently, I am also a Research Intern at ByteDance Data, mentored by He Junwei.

My research interests broadly center on Post-Training and Continual Learning. I am dedicated to exploring alignment algorithms, scalable reinforcement learning, and foundation models that continuously acquire new knowledge and reason robustly.

Sep 2026
Paper
One paper accepted by EMNLP 2026! 🎉🎉🎉 ArXiv preprint and code will be released soon.
Nov 2025
Paper
One paper accepted by Advanced Engineering Informatics! 🎉🎉🎉
Nov 2025
Paper
One paper accepted by AAAI 2026! 🎉🎉🎉

Selected Publications

All publications
  1. notam-evolve.png
    AAAI 2026 arXiv Code
    NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
    Maoqi Liu, Quan Fang, Yuhao Wu, and 3 more authors
    Proceedings of the AAAI Conference on Artificial Intelligence, 2026
  2. knots.png
    ADVEI 2025 arXiv Code
    Knots: A Large-Scale Multi-Agent Enhanced Expert-Annotated Dataset and LLM Prompt Optimization for NOTAM Semantic Parsing
    Maoqi Liu, Quan Fang, Yang Yang, and 2 more authors
    Advanced Engineering Informatics, 2025

Honors & Awards

2024
Beijing Natural Science Foundation Undergraduate "QiYan" Research Grant.

Experience

2026.06 - Present
Research Intern @ ByteDance Data, mentored by He Junwei.