Xinting Huang
Email: xhuang [æt] lst.uni-saarland.de
I’m a PhD student at Saarland University, advised by Michael Hahn. I’m part of Language, Computation, and Cognition Lab (LaCoCo). During my PhD, I also spent time at Tencent as a research intern. Before that, I obtained my Master’s degree in IT and Cognition at University of Copenhagen, and Bachelor’s degree in Intelligence Science and Technology at Sun Yat-sen University.
My research focuses on understanding how language models work through mechanistic interpretability and theoretical analysis. During my PhD, I have developed methods for interpreting neural representations and uncovering the algorithms learned by transformers. More recently, I have also explored reinforcement learning for language model reasoning.
Publications
- Forty-Third International Conference on Machine Learning (ICML), 2026
- The Fourteenth International Conference on Learning Representations (ICLR), 2026
- 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2026
- Conference on Language Modeling (COLM), 2025
- Forty-Second International Conference on Machine Learning (ICML), 2025
- The Thirteenth International Conference on Learning Representations (ICLR), 2025
- Annual Conference on Neural Information Processing Systems (NeurIPS 2024); Previously: Mechanistic Interpretability Workshop at ICML 2024 (oral, Second Place Prize), 2024
- In Findings of the Association for Computational Linguistics: EMNLP , 2023
- arXiv preprint arXiv:2311.00159, 2023
- In CLEF (Working Notes) , 2022
- In Proceedings of the Fourteenth Workshop on Semantic Evaluation , 2020