Xinxi Lyu

Predoctoral Young Investigator @ AI2

Hello!

I am a Predoctoral Young Investigator at Allen Institute for AI. I am on AllenNLP team mentored by Pradeep Dasigi. I received my B.S. and M.S. in Computer Science at Paul G. Allen School of Computer Science & Engineering at University of Washington-Seattle, where I was mentored by Sewon Min and Hannaneh Hajishirzi.

My current research focus on learning, characterizing, and improving Large Language Models in stages of data, pretraining, and inference.

My Chinese name is written as 吕欣禧, which embodys the meaning of happiness:grin:.

I am looking for a Ph.D. position starting in Fall 2024!

selected publications

  1. HREF: Human Response-Guided Evaluation of Instruction Following in Language Models
    Xinxi Lyu, Yizhong Wang, Hannaneh Hajishirzi, and 1 more author
    2024
  2. Leveraging Set Assumption for Membership Inference in Language Models
    Xinxi Lyu, Sewon Min, Ari Holtzman, and 4 more authors
    In , 2024
  3. TULU 3: Pushing Frontiers in Open Language Model Post-Training
    Nathan Lambert, Jacob Morrison, Valentina Pyatkin, and 8 more authors
    2024
  4. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
    Sewon Min, Kalpesh Krishna, Xinxi Lyu, and 6 more authors
    Empirical Methods in Natural Language Processing , 2023
  5. Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations
    Xinxi Lyu, Sewon Min, Iz Beltagy, and 2 more authors
    the Association for Computational Linguistics , 2022
  6. Rethinking the Role of Demonstrations: What makes In-context Learning Work?
    Sewon Min, Xinxi Lyu, Ari Holtzman, and 4 more authors
    Empirical Methods in Natural Language Processing , 2022
  7. Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
    Daniel Khashabi, Shane Lyu, Sewon Min, and 8 more authors
    Conference of the North American Chapter of the Association for Computational Linguistics , 2021