Junteng Liu
Ph.D. Candidate at HKUST NLP Group
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
I am currently a research intern at Apple MLR (Cupertino), mentored by Yizhe Zhang. Previously, I interned at MiniMax (contributing to the M1 and M2.x models), Tencent WXG, and Shanghai AI Lab.
I am broadly interested in building trustworthy and capable reasoning systems.
News
| Apr 2026 | Started a research internship at Apple MLR in Cupertino, mentored by Yizhe Zhang. |
|---|---|
| Oct 2025 | Our paper The Tool Decathlon was released, benchmarking language agents for diverse and long-horizon task execution. |
| Sep 2025 | Our paper WebExplorer was released on arXiv for long-horizon web-agent training. |
| May 2025 | SynLogic was accepted to NeurIPS 2025. |
| May 2025 | Our paper On the Perception Bottleneck of VLMs for Chart Understanding was accepted to EMNLP 2025 Findings. |
| Feb 2025 | Started a research internship at MiniMax, working on large-scale logical reasoning data synthesis and training for the M1 and M2.x models. |
| Dec 2024 | Our paper On the Universal Truthfulness Hyperplane Inside LLMs was presented at EMNLP 2024. |
| Oct 2024 | Joined HKUST NLP Group as a Ph.D. student advised by Prof. Junxian He. |
| Jun 2024 | Graduated from Shanghai Jiao Tong University with a B.Eng. in Automation (IEEE Honor Class). |