💍📖💻🐶⛰️🤿.

turing_bench.jpg

w/ Jolly at the Alan Turing Memorial, Manchester, UK

I am a researcher at IQuest Research, UbiQuant, for building Coding LLM & Agent. I received my PhD from lab supervised by Dr. Chenghua Lin, Professor of Natural Language Processing at The University of Manchester. Initiated the Multimodal Art Projection (M-A-P) research community with Ge Zhang, Ruibin Yuan and Yinghao Ma – which aims to drive open-source research to cutting-edge level as the industry. During my journey, I’ve also collaborated with Dr. Jie Fu and had a lot fun.


Research

My current research focus involves:

  • Recursive self-improvement (RSI).
  • Building generalizable agents (IQuest-Coder-V1).
  • Scalable Reinforcement Learning for LLM (TreePO).

Before that, some of my research interests involve:

  • Synthetic Data for Vision-Language Model (MAmmoTH-VL),
  • LM Evaluation (Encyclo-K, SuperGPQA)
  • Music modelling, built the universal understanding (MERT) and generative model (YuE) for music .

More recent and detailed topics can be referred to my publication pages.


Passed Experience

Academic Service: workshop organizer at Open Science for Foundation Models, ICLR’25 and LLM4MA, ISMIR’25; reviewer at ACL, EMNLP, CVPR, ICLR, NeurIPS and more.

news

Jul 13, 2026 Four papers are accepted by the ICML’26, Seoul.
Jan 01, 2026 A family of strong OSS (looped) code LLM IQuest-Coder-V1.
Nov 01, 2025 Two papers are accepted by the NeurIPS’25.
Aug 07, 2025 Delivered a tutorial on Domain-specific LLM at NLPCC 2025 and share the overview about the organized shared task on gender bias mitigation challenge.
May 15, 2025 Two papers are accepted by the ACL’25.