Bei Li
Scholar

Bei Li

Google Scholar ID: wzbJ5EIAAAAJ
Meituan LLM Team
Machine TranslationDeep LearningLarge Language Models
Citations & Impact
All-time
Citations
2,058
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top international conferences such as NeurIPS, EMNLP, ACL, ICML, ICLR, COLING, ICASSP, AAAI between 2020 and 2025.
Research Experience
  • Worked at Natural Language Processing Lab; Internship at Microsoft Research Asia (MSRA) Natural Language Computing (NLC) from May 2022 to May 2023; Started a new internship at Machine Learning Group (ML) in December 2023.
Education
  • Bachelor's degree in 2017 from Northeastern University, majoring in Computer Science and Technology; Master's degree in 2020 from Northeastern University, majoring in Computer Software and Theory; Ph.D. from the Department of Computer Science and Technology at Northeastern University, supervised by Prof. Tong Xiao and Prof. Jingbo Zhu.
Background
  • Research interests include complex architecture modeling, deep transformers, multimodal modeling, and machine learning. Currently focusing on large language models such as prompt engineering via deliberation (DTG), evolutionary algorithms-based prompt search (EvoPrompt), foundation models (PCformer and its subsequent work), and DPO improvements (temporal-decay based DPO). Primary research domain is sequence generation tasks, including machine translation, abstractive summarization, etc.
Miscellany
  • Contact: Email, Resume, Google Scholar, Github