Keqin is a third-year (硕博连读第三年) PhD student at the USTC Lab for Data Science. He earned his B.E. degree from HIT and his research interests now focus on large language models for recommendation and its other application. Previously, he has been interested in the evaluation of natural language generation and has delved into the relevant knowledge of translation evaluation.

Interests
  • Lie flat, Laze around, Muddle along Recommendation (LLMRec)
  • Translation Evaluation
Education
  • PhD Candidate in Cyberspace Security, 2021-Now

    University of Science and Technology of China

  • BEng in Computer Science, 2017-2021

    Harbin Institue of Technology

Latest