Gabrielle K. Liu

According to our database, Gabrielle K. Liu authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence?

Gabrielle Kaili-May Liu, Arman Cohan

CoRR, May, 2026

DoGMaTiQ: Automated Generation of Question-and-Answer Nuggets for Report Evaluation.

Bryan Li, William Gantt Walden, Yu Hou, Gabrielle Kaili-May Liu, Dawn J. Lawrie, James Mayfield, Eugene Yang, Chris Callison-Burch, Laura Dietz

CoRR, May, 2026

Investigating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries.

Gabrielle Kaili-May Liu, Bryan Li, Arman Cohan, William Gantt Walden, Eugene Yang

Proceedings of the Advances in Information Retrieval, 2026

Incorporating Q&A Nuggets Into Retrieval-Augmented Generation.

Laura Dietz, Bryan Li, Gabrielle K. Liu, Jia-Huei Ju, Eugene Yang, Dawn J. Lawrie, William Gantt Walden, James Mayfield

Proceedings of the Advances in Information Retrieval, 2026

2025

Measuring what Matters: Construct Validity in Large Language Model Benchmarks.

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

CoRR, November, 2025

Evaluating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries.

Gabrielle Kaili-May Liu, Bryan Li, Arman Cohan, William Gantt Walden, Eugene Yang

CoRR, October, 2025

Auto-ARGUE: LLM-Based Report Generation Evaluation.

William Gantt Walden, Marc Mason, Orion Weller, Laura Dietz, Hannah Recknor, Bryan Li, Gabrielle Kaili-May Liu, Yu Hou, James Mayfield, Eugene Yang

CoRR, September, 2025

MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs.

Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, Idan Szpektor, Tim G. J. Rudner, Arman Cohan

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MDCure: A Scalable Pipeline for Multi-Document Instruction-Following.

Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, Idan Szpektor, Arman Cohan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Yale NLP at TREC 2024: Tip-of-the-Tongue Track.

Rohan Phanse, Gabrielle Kaili-May Liu, Arman Cohan

Proceedings of the Thirty-Third Text REtrieval Conference, 2024

2023

Perspectives on the Social Impacts of Reinforcement Learning with Human Feedback.

Gabrielle Kaili-May Liu

CoRR, 2023

2022

Streaming Inference for Infinite Feature Models.

Rylan Schaeffer, Yilun Du, Gabrielle K. Liu, Ila Fiete

Proceedings of the International Conference on Machine Learning, 2022

Streaming Inference for Infinite Non-Stationary Clustering.

Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott W. Linderman, Ila Rani Fiete

Proceedings of the Conference on Lifelong Learning Agents, 2022

2019

Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning.

Gabrielle Kaili-May Liu

CoRR, 2019

2018

Evaluating Gammatone Frequency Cepstral Coefficients with Neural Networks for Emotion Recognition from Speech.

Gabrielle K. Liu

CoRR, 2018