Gabrielle Kaili-May Liu

13 papers A* 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Investigating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries.
ECIR (2)
Gabrielle Kaili-May Liu, Bryan Li, Arman Cohan, William Gantt Walden, Eugene Yang
2025 J jnl
Auto-ARGUE: LLM-Based Report Generation Evaluation.
CoRR
William Gantt Walden, Marc Mason, Orion Weller, Laura Dietz, Hannah Recknor, Bryan Li, Gabrielle Kaili-May Liu, Yu Hou, James Mayfield, Eugene Yang
2025 J jnl
Evaluating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries.
CoRR
Gabrielle Kaili-May Liu, Bryan Li, Arman Cohan, William Gantt Walden, Eugene Yang
2025 — conf
MDCure: A Scalable Pipeline for Multi-Document Instruction-Following.
ACL (1)
Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, Idan Szpektor, Arman Cohan
2025 J jnl
Measuring what Matters: Construct Validity in Large Language Model Benchmarks.
CoRR
Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou, Franziska Sofia Hafner, Harry Mayne, Jan Batzner, Negar Foroutan, Chris Schmitz, Karolina Korgul, Hunar Batra, Oishi Deb, Emma Beharry, Cornelius Emde, Thomas Foster, Anna Gausen, María Grandury, Simeng Han, Valentin Hofmann, Lujain Ibrahim, Hazel Kim, Hannah Rose Kirk, Fangru Lin, Gabrielle Kaili-May Liu, Lennart Luettgau, Jabez Magomere, Jonathan Rystrøm, Anna Sotnikova, Yushi Yang, Yilun Zhao, Adel Bibi, Antoine Bosselut, Ronald Clark, Arman Cohan, Jakob N. Foerster, Yarin Gal, Scott A. Hale, Inioluwa Deborah Raji, Christopher Summerfield, Philip H. S. Torr, Cozmin Ududec, Luc Rocher, Adam Mahdi
2025 A* conf
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs.
EMNLP
Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, Idan Szpektor, Tim G. J. Rudner, Arman Cohan
2025 J jnl
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs.
CoRR
Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, Idan Szpektor, Tim G. J. Rudner, Arman Cohan
2024 J jnl
MDCure: A Scalable Pipeline for Multi-Document Instruction-Following.
CoRR
Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, Idan Szpektor, Arman Cohan
2024 — conf
Yale NLP at TREC 2024: Tip-of-the-Tongue Track.
TREC
Rohan Phanse, Gabrielle Kaili-May Liu, Arman Cohan
2023 J jnl
Perspectives on the Social Impacts of Reinforcement Learning with Human Feedback.
CoRR
Gabrielle Kaili-May Liu
2022 — conf
Streaming Inference for Infinite Non-Stationary Clustering.
CoLLAs
Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila Rani Fiete
2022 J jnl
Streaming Inference for Infinite Non-Stationary Clustering.
CoRR
Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila Rani Fiete
2019 J jnl
Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning.
CoRR
Gabrielle Kaili-May Liu