Peiwen Yuan(袁沛文)

I am currently a Phd Student (2022.9-2028.6) of Computer Science and Technology at the Beijing Institute of Technology. I obtained my bachelor's degree from Beijing Institute of Technology in 2022.

My research interests include large language model reasoning and evaluation, information retrieval, and any advanced technology in the field of artificial intelligence. I have published papers in conferences related to artificial intelligence such as NeurIPS, ICLR, ACL, EMNLP, AAAI, and EACL.

I recently worked as an research intern at Xiaohongshu (2023.3-now), engaging in NLP research.

News

2024/5/16: BatchEval: Towards Human-like Text Evaluation, has been accepted as main in ACL 2024 (Oral)

2024/5/16: Poor-Supervised Evaluation for SuperLLM via Mutual Consistency, has been accepted as findings in ACL 2024

2024/6/17: My new work: Focused Large Language Models are Stable Many-Shot Learners, is submitted to ACL ARR 2024 June

2024/9/20: Focused Large Language Models are Stable Many-Shot Learners, has been accepted as main in EMNLP 2024