Jacqueline He - RankMe

13 papers A* 3Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model. CoRR Jacqueline He, Jonathan Hayase, Wen-tau Yih, Sewoong Oh, Luke Zettlemoyer, Pang Wei Koh
2025	J	`jnl`	Precise Information Control in Long-Form Text Generation. CoRR Jacqueline He, Howard Yen, Margaret Li, Shuyue Stella Li, Zhiyuan Zeng, Weijia Shi, Yulia Tsvetkov, Danqi Chen, Pang Wei Koh, Luke Zettlemoyer
2025	J	`jnl`	PrefPalette: Personalized Preference Modeling with Latent Attributes. CoRR Shuyue Stella Li, Melanie Sclar, Hunter Lang, Ansong Ni, Jacqueline He, Puxin Xu, Andrew Cohen, Chan Young Park, Yulia Tsvetkov, Asli Celikyilmaz
2025	J	`jnl`	RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments. CoRR Zhiyuan Zeng, Hamish Ivison, Yiping Wang, Lifan Yuan, Shuyue Stella Li, Zhuorui Ye, Siting Li, Jacqueline He, Runlong Zhou, Tong Chen, Chenyang Zhao, Yulia Tsvetkov, Simon Shaolei Du, Natasha Jaques, Hao Peng, Pang Wei Koh, Hannaneh Hajishirzi
2024	J	`jnl`	OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. CoRR 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, Minyang Tian, Pan Ji, Shengyan Liu, Hao Tong, Bohao Wu, Yanyu Xiong, Luke Zettlemoyer, Graham Neubig, Daniel S. Weld, Doug Downey, Wen-tau Yih, Pang Wei Koh, Hannaneh Hajishirzi
2024	A*	`conf`	Scaling Retrieval-Based Language Models with a Trillion-Token Datastore. NeurIPS Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh
2024	J	`jnl`	Scaling Retrieval-Based Language Models with a Trillion-Token Datastore. CoRR Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh
2023	A*	`conf`	Challenges in Context-Aware Neural Machine Translation. EMNLP Linghao Jin, Jacqueline He, Jonathan May, Xuezhe Ma
2023	J	`jnl`	Challenges in Context-Aware Neural Machine Translation. CoRR Linghao Jin, Jacqueline He, Jonathan May, Xuezhe Ma
2022	—	`conf`	Can Rationalization Improve Robustness? NAACL-HLT Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
2022	J	`jnl`	Can Rationalization Improve Robustness? CoRR Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
2022	A*	`conf`	MABEL: Attenuating Gender Bias using Textual Entailment Data. EMNLP Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen
2022	J	`jnl`	MABEL: Attenuating Gender Bias using Textual Entailment Data. CoRR Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen