Publications

2026

  1. Efficient Forecasting of Task Failures in LLM Agents through Adaptive Fault Injection
    Vartika Sengar, Parth Thakkar, Pranoy Panda, Shrey Satapara, Emmy Liu, and 4 more authors
    In Advances in Neural Information Processing Systems (NeurIPS 2026), 2026
    Earlier version presented at Forecast@ICML 2026.
  2. HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
    Emmy Liu, Varun Prashant Gangal, Michael Yu, Zhuofu Tao, Karanpartap Singh, and 2 more authors
    In NeurIPS 2026 Evaluations and Datasets Track, 2026
  3. What Do Language Models Learn and When? The Implicit Curriculum Hypothesis
    Emmy Liu, Kaiser Sun, Millicent Li, Isabelle Lee, Lindia Tjuatja, and 2 more authors
    In Proceedings of the 3rd Conference on Language Modeling (COLM 2026), 2026
  4. Midtraining Bridges Pretraining and Posttraining Distributions
    Emmy Liu, Chenyan Xiong, and Graham Neubig
    In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), 2026
  5. Hybrid-Gym: Training Coding Agents to Generalize Across Tasks
    Yiqing Xie, Emmy Liu, Gaokai Zhang, Nachiket Kotalwar, Shubham Gandhi, and 5 more authors
    In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), 2026
  6. A Unified Definition of Hallucination: It’s The World Model, Stupid!
    Emmy Liu, Varun Gangal, Chelsea Zou, Michael Yu, Xiaoqi Huang, and 5 more authors
    In Proceedings of the 43rd International Conference on Machine Learning, Position Paper Track (ICML 2026), 2026
  1. Rigorous Interpretation Is a Form of Evaluation
    Isabelle Lee, Emmy Liu, Cathy Jiao, Brihi Joshi, Dani Yogatama, and 2 more authors
    In Proceedings of the ACL 2026 Workshop on Evaluating Evaluations (EvalEval), 2026
  1. To Memorize or to Retrieve: Scaling the Interaction Between Pretraining and Retrieval
    Karan Singh, Michael Yu, Varun Gangal, Zhuofu Tao, Sachin Kumar, and 2 more authors
    2026
  2. Egocentric Bias in Vision-Language Models
    Maijunxian Wang, Yijiang Li, Bingyang Wang, Tianwei Zhao, Ran Ji, and 4 more authors
    2026

    2025

    1. 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, and 7 more authors
      In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), 2025
    2. Language Modeling with Editable External Knowledge
      Belinda Z. Li, Emmy Liu, Alexis Ross, Abbas Zeitoun, Graham Neubig, and 1 more author
      In Findings of the Association for Computational Linguistics: NAACL 2025, 2025
      1. Datasheets Aren’t Enough: DataRubrics for Automated Quality Metrics and Accountability
        Genta Indra Winata*, David Anugraha*, Emmy Liu*, Alham Fikri Aji*, Shou-Yi Hung, and 15 more authors
        2025
      1. On the Developmental Science of Language Models
        Emmy Liu
        2025
        PhD Thesis Proposal, Carnegie Mellon University

      2024

      1. An Incomplete Loop: Deductive, Inductive, and Abductive Reasoning in Language Models
        Emmy Liu, Graham Neubig, and Jacob Andreas
        In Proceedings of the 1st Conference on Language Modeling, 2024
      2. Divergences between Language Models and Human Brains
        Yuchen Zhou, Emmy Liu, Graham Neubig, Michael J. Tarr, and Leila Wehbe
        In Advances in Neural Information Processing Systems 37, 2024
      3. Program-Aided Reasoners (Better) Know What They Know
        Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, and 1 more author
        In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2024

            2023

            1. Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting
              Emmy Liu, Aditi Chaudhary, and Graham Neubig
              In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
            2. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
              Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, and 6 more authors
              Transactions of the Association for Computational Linguistics, 2023
            3. star_sem
              Syntax and Semantics Meet in the "Middle": Probing the Syntax-Semantics Interface of LMs Through Agentivity
              Lindia Tjuatja, Emmy Liu, Lori Levin, and Graham Neubig
              In Proceedings of the 12th Joint Conference on Lexical and Computational Semantics, 2023
            4. When Does Translation Require Context? A Data-driven, Multilingual Exploration (Best Resource Paper)
              Patrick Fernandes, Kayo Yin, Emmy Liu, André F. T. Martins, and Graham Neubig
              In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023
            5. Multi-lingual and Multi-cultural Figurative Language Understanding
              Anubha Kabra*, Emmy Liu*, Simran Khanuja*, Alham Fikri Aji, Genta Indra Winata, and 4 more authors
              In Findings of the Association for Computational Linguistics: ACL 2023, 2023
            6. Computational Language Acquisition with Theory of Mind
              Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, and Graham Neubig
              In The Eleventh International Conference on Learning Representations, 2023
            7. Exam Eustress: Designing a Brief Online Intervention for Helping Students Identify Positive Aspects of Stress
              Mohi Reza, Angela B. Zavaleta, Emmy Liu, Tong Li, Calista Barber, and 2 more authors
              In CHI ’23: CHI Conference on Human Factors in Computing Systems, 2023

                  2022

                  1. Testing the Ability of Language Models to Interpret Figurative Language
                    Emmy Liu, Chenxuan Cui, Kenneth Zheng, and Graham Neubig
                    In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Jul 2022
                  2. Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models
                    Emmy Liu, and Graham Neubig
                    In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Dec 2022
                  3. The emergence of moral foundations in child language development
                    Aida Ramezani, Emmy Liu, Renato Ferreira Pinto Junior, Spike W.S. Lee, and Yang Xu
                    In Proceedings of the Annual Meeting of the Cognitive Science Society, Jul 2022
                  4. Chaining and the temporal dynamics of scientists’ publishing behaviour
                    Emmy Liu, and Yang Xu
                    PLoS One, Jul 2022
                  1. 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 Hiller, and Roger Levy
                    In Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP), Jul 2022
                  2. EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation
                    Sedrick Scott Keh, Rohit K. Bharadwaj, Emmy Liu, Simone Tedeschi, Varun Gangal, and 1 more author
                    In Proceedings of the 3rd Workshop on Figurative Language Processing (FigLang), Dec 2022

                      2021

                        1. RL4ED@EDM
                          Statistical Consequences of Duelling Bandits
                          Nayan Saxena, Pan Chen, and Emmy Liu
                          In EDM21 Workshop on Reinforcement Learning for Education, Dec 2021

                            2020

                            1. Chaining and the Process of Scientific Innovation
                              Emmy Liu, and Yang Xu
                              In Proceedings of the Annual Meeting of the Cognitive Science Society, Jul 2020
                            2. Numeral Systems across Languages Support Efficient Communication: From Approximate Numerosity to Recursion
                              Emmy Liu, and Yang Xu
                              Open Mind, Jul 2020

                                  2019

                                  1. Rapid information gain explains cross-linguistic tendenciees in numeral ordering
                                    Emmy Liu, and Yang Xu
                                    In Proceedings of the Annual Meeting of the Cognitive Science Society, Jul 2019
                                  2. CUNY
                                    Ordering in numerals supports rapid information processing
                                    Emmy Liu, and Yang Xu
                                    In 32nd CUNY Conference on Human Sentence Processing, Jul 2019