Xinxi Lyu

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

2022

Large language models (LMs) are able to in-context learn—perform a new task via inference alone by conditioning on a few input-label pairs (demonstrations) and making predictions for new inputs. However, there has been little understanding …

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

2023

Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.