@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},journal={Empirical Methods in Natural Language Processing },year={2023},}
2022
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
@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={ 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
Empirical Methods in Natural Language Processing , 2022
@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={ Empirical Methods in Natural Language Processing },year={2022},}
2021
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
@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},}