Bingsen (Bale) Chen is a Computer Science PhD student jointly at NYU Courant and NYU Shanghai, mentored by Professor Chen Zhao. Previously, he received his B.S. degree in Data Science (with honors) from NYU Shanghai, where he conducted research advised by Professor Yik-Cheung Tam and Professor Mathieu Laurière. His current research interests are in improving RAG systems to enhance LLM reasoning and designing LLM inference algorithms that make text generation more controllable and reliable.
Publications
- Xiaocheng Yang, Bingsen Chen, and Yik-Cheung Tam. 2024. “Arithmetic Reasoning with LLM: Prolog Generation & Permutation.” In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico.
Research Interests
- Retrieval-augmented Generation
- Controllable Text Generation