Junteng Liu

Ph.D. Candidate at HKUST NLP Group

prof_pic.jpg

Hong Kong University of Science and Technology

Clear Water Bay, Hong Kong

I am a second-year Ph.D. candidate at HKUST NLP Group, advised by Professor Junxian He. I received my B.Eng. from Shanghai Jiao Tong University (SJTU) in 2024.

My research focuses on natural language processing and machine learning, with an emphasis on:

  • Agentic LLMs and long-horizon reasoning
  • Logical reasoning and reinforcement learning
  • Vision-language models and perception bottlenecks
  • LLM truthfulness and interpretability

Before starting my Ph.D., I worked as a research intern at Tencent WXG and Shanghai AI Lab. I was a research intern at MiniMax from February 2025 to February 2026, contributing to the MiniMax M1 and M2.x models.

I am broadly interested in building trustworthy and capable reasoning systems.

Google Scholar @junteng88716710

news

Sep 01, 2025 Our paper WebExplorer was released on arXiv for long-horizon web-agent training.
May 28, 2025 SynLogic was accepted to NeurIPS 2025.
May 27, 2025 Our paper On the Perception Bottleneck of VLMs for Chart Understanding was accepted to EMNLP 2025 Findings.
Dec 01, 2024 Our paper On the Universal Truthfulness Hyperplane Inside LLMs was presented at EMNLP 2024.
Oct 01, 2024 Joined HKUST NLP Group as a Ph.D. student advised by Prof. Junxian He.