李响 Xiang Lorraine Li

Amherst, Massachusetts, USA
people.cs.umass.edu/~xiangl
xiangl (at) cs (dot) umass (dot) edu
CV(PDF) | CV Long(PDF)


I'm a young investigator work with the AI2 Mosaic team. I defended my PhD at UMass Amherst working in IESL with my advisor Andrew McCallum in August 2022. I received my B.S. from East China Normal Univerisity in Shanghai, and completed a M.S. from the Univerisity of Chicago, during when I spend some time at TTIC working with Kevin Gimpel. My pronouns are she/her.

Research Interest: My research is at the intersection of natural language processing, commonsense reasoning, knowledge representation, and machine learning. More specifically, I'm interested in designing probabilistic models and evaluation methods for implicit commonsense knowledge in language.

  • In Fall 2023, I will begin my job as an assistant professor at UPitt CS!
  • If you are interested in working with me, especially starting Fall 2023 at Pitt. Send me an email with "Prospective student" as the subject.(Pitt students could add "[Pitt]" to the subject) I will try to respond, but don't be discouraged if I don't. It might just take me longer. Here are some tips to speed me up.
  • Industry Experience: During the summer of 2017 and 2018, I worked at Google Mountain View on knowledge graphs, focusing on hierarchical relationships. I spent the summer of 2019 working with the Bloomberg Data Science Team on generating test cases for programs with seq2seq models. In 2020, I finished a remote internship at Meta AI Research, where I focused on multi-hop question answering. Furthermore, I had the opportunity to work remotely with the DeepMind Language Team in 2021, trying to understand commonsense in large language models.

    Publications

    203,1 Bot