Xinxi Lyu

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.

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

selected publications

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Sewon Min, Kalpesh Krishna, Xinxi Lyu, and 6 more authors

2023

arXiv Bib Code

@article{min2023factscore,
  title = {FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation},
  author = {Min, Sewon and Krishna, Kalpesh and Lyu, Xinxi and Lewis, Mike and Yih, Wen-tau and Koh, Pang Wei and Iyyer, Mohit and Zettlemoyer, Luke and Hajishirzi, Hannaneh},
  booktitle = {arXiv preprint arXiv:2305.14251},
  year = {2023},
}

Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations

Xinxi Lyu, Sewon Min, Iz Beltagy, and 2 more authors

Proceedings of the Association for Computational Linguistics , 2022

arXiv Bib Code

@article{lyu2022z,
  title = { Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations },
  author = {Lyu, Xinxi and Min, Sewon and Beltagy, Iz and Zettlemoyer, Luke and Hajishirzi, Hannaneh},
  journal = { Proceedings of the Association for Computational Linguistics },
  year = {2022},
}

Rethinking the Role of Demonstrations: What makes In-context Learning Work?

Sewon Min, Xinxi Lyu, Ari Holtzman, and 4 more authors

Proceedings of Empirical Methods in Natural Language Processing , 2022

arXiv Bib Code

@article{min2022rethinking,
  title = { Rethinking the Role of Demonstrations: What makes In-context Learning Work? },
  author = {Min, Sewon and Lyu, Xinxi and Holtzman, Ari and Artetxe, Mikel and Lewis, Mike and Hajishirzi, Hannaneh and Zettlemoyer, Luke},
  journal = { Proceedings of Empirical Methods in Natural Language Processing },
  year = {2022},
}

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

arXiv Bib

@article{khashabi2021prompt,
  title = { {P}rompt {W}aywardness: The Curious Case of Discretized Interpretation of Continuous Prompts },
  author = {Khashabi, Daniel and Lyu, Shane and Min, Sewon and Qin, Lianhui and Richardson, Kyle and Singh, Sameer and Welleck, Sean and Hajishirzi, Hannaneh and Khot, Tushar and Sabharwal, Ashish and Choi, Yejin},
  journal = { Conference of the North American Chapter of the Association for Computational Linguistics },
  year = {2021},
}

selected publications

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