MABEL: Attenuating Gender Bias using Textual Entailment Data. - Jacqueline He; Mengzhou Xia; Christiane Fellbaum; Danqi Chen 001 (EMNLP, 2022)

Can Rationalization Improve Robustness? - Howard Chen 003; Jacqueline He; Karthik Narasimhan; Danqi Chen 001 (NAACL-HLT, 2022)

Challenges in Context-Aware Neural Machine Translation. - Linghao Jin; Jacqueline He; Jonathan May; Xuezhe Ma (EMNLP, 2023)

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore. - Rulin Shao; Jacqueline He; Akari Asai; Weijia Shi; Tim Dettmers; Sewon Min; Luke Zettlemoyer; Pang Wei Koh (NeurIPS, 2024)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. - Akari Asai; Jacqueline He; Rulin Shao; Weijia Shi; Amanpreet Singh; Joseph Chee Chang; Kyle Lo; Luca Soldaini; Sergey Feldman; Mike D'Arcy; David Wadden; Matt Latzke; et al. (CoRR, 2024)

Precise Information Control in Long-Form Text Generation. - Jacqueline He; Howard Yen; Margaret Li; Shuyue Stella Li; Zhiyuan Zeng; Weijia Shi; Yulia Tsvetkov; Danqi Chen 001; Pang Wei Koh; Luke Zettlemoyer (CoRR, 2025)

PrefPalette: Personalized Preference Modeling with Latent Attributes. - Shuyue Stella Li; Melanie Sclar; Hunter Lang; Ansong Ni; Jacqueline He; Puxin Xu; Andrew Cohen; Chan Young Park; Yulia Tsvetkov; Asli Celikyilmaz (CoRR, 2025)