Rapid information gain explains cross-linguistic tendencies in numeral ordering. - Emmy Liu; Yang Xu 023 (CogSci, 2019)

Chaining and the process of scientific innovation. - Emmy Liu; Yang Xu 023 (CogSci, 2020)

Statistical Consequences of Dueling Bandits. - Nayan Saxena; Pan Chen; Emmy Liu (CoRR, 2021)

The emergence of moral foundations in child language development. - Aida Ramezani; Emmy Liu; Renato Ferreira Pinto Junior; Spike W. S. Lee; Yang Xu 023 (CogSci, 2022)

Are representations built from the ground up? An empirical examination of local composition in language models. - Emmy Liu; Graham Neubig (EMNLP, 2022)

Testing the Ability of Language Models to Interpret Figurative Language. - Emmy Liu; Chenxuan Cui; Kenneth Zheng; Graham Neubig (NAACL-HLT, 2022)

Testing the Ability of Language Models to Interpret Figurative Language. - Emmy Liu; Chen Cui; Kenneth Zheng; Graham Neubig (CoRR, 2022)

Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback. - Emmy Liu; Michael Henry Tessler; Nicole Dubosh; Katherine Mosher Hiller; Roger Levy (CoRR, 2022)

EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation. - Sedrick Scott Keh; Rohit Bharadwaj 001; Emmy Liu; Simone Tedeschi; Varun Gangal; Roberto Navigli (CoRR, 2022)

When Does Translation Require Context? A Data-driven, Multilingual Exploration. - Patrick Fernandes; Kayo Yin; Emmy Liu; André F. T. Martins; Graham Neubig (ACL (1), 2023)

Multi-lingual and Multi-cultural Figurative Language Understanding. - Anubha Kabra; Emmy Liu; Simran Khanuja; Alham Fikri Aji; Genta Indra Winata; Samuel Cahyawijaya; Aremu Anuoluwapo; Perez Ogayo; Graham Neubig (ACL (Findings), 2023)

Exam Eustress: Designing Brief Online Interventions for Helping Students Identify Positive Aspects of Stress. - Mohi Reza; Angela M. Zavaleta Bernuy; Emmy Liu; Tong Li; Zhongyuan Liang; Calista K. Barber; Joseph Jay Williams (CHI, 2023)

Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting. - Emmy Liu; Aditi Chaudhary; Graham Neubig (EMNLP, 2023)

Computational Language Acquisition with Theory of Mind. - Andy Liu; Hao Zhu 011; Emmy Liu; Yonatan Bisk; Graham Neubig (ICLR, 2023)

Syntax and Semantics Meet in the "Middle": Probing the Syntax-Semantics Interface of LMs Through Agentivity. - Lindia Tjuatja; Emmy Liu; Lori S. Levin; Graham Neubig (*SEM@ACL, 2023)

Divergences between Language Models and Human Brains. - Yuchen Zhou 004; Emmy Liu; Graham Neubig; Leila Wehbe (CoRR, 2023)

Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. - Patrick Fernandes; Aman Madaan; Emmy Liu; António Farinhas; Pedro Henrique Martins; Amanda Bertsch; José G. C. de Souza; Shuyan Zhou; Tongshuang Wu; Graham Neubig; André F. T. Martins (Trans. Assoc. Comput. Linguistics, 2023)

Program-Aided Reasoners (Better) Know What They Know. - Anubha Kabra; Sanketh Rangreji; Yash Mathur; Aman Madaan; Emmy Liu; Graham Neubig (NAACL-HLT, 2024)

Divergences between Language Models and Human Brains. - Yuchen Zhou 004; Emmy Liu; Graham Neubig; Michael J. Tarr; Leila Wehbe (NeurIPS, 2024)

An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models. - Emmy Liu; Graham Neubig; Jacob Andreas (CoRR, 2024)

Language Modeling with Editable External Knowledge. - Belinda Z. Li; Emmy Liu; Alexis Ross; Abbas Zeitoun; Graham Neubig; Jacob Andreas (NAACL (Findings), 2025)

Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions. - Emmy Liu; Amanda Bertsch; Lintang Sutawika; Lindia Tjuatja; Patrick Fernandes; Lara Marinov; Michael Chen; Shreya Singhal; Carolin Lawrence; Aditi Raghunathan; Kiril Gashteovski; Graham Neubig (CoRR, 2025)

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability. - Genta Indra Winata; David Anugraha; Emmy Liu; Alham Fikri Aji; Shou-Yi Hung; Aditya Parashar; Patrick Amadeus Irawan; Ruochen Zhang; Zheng-Xin Yong; Jan Christian Blaise Cruz; Niklas Muennighoff; Seungone Kim; et al. (CoRR, 2025)