Jennifer Hu

According to our database, Jennifer Hu authored at least 22 papers between 2018 and 2024.

Collaborative distances:

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

2024

Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models.

Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi Kumar, Setayesh Radkani, Thomas Hikaru Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian C. Paulun, Maria Ryskina, Ekin Akyürek, Ethan Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua B. Tenenbaum, Jacob Andreas

CoRR, 2024

Auxiliary task demands mask the capabilities of smaller language models.

Jennifer Hu, Michael C. Frank

CoRR, 2024

Language models align with human judgments on key grammatical constructions.

Jennifer Hu, Kyle Mahowald, Gary Lupyan, Anna A. Ivanova, Roger Levy

CoRR, 2024

2023

Expectations over Unspoken Alternatives Predict Pragmatic Inferences.

Jennifer Hu, Roger Levy, Judith Degen, Sebastian Schuster

Trans. Assoc. Comput. Linguistics, 2023

Prompt-based methods may underestimate large language models' linguistic generalizations.

Jennifer Hu, Roger Levy

CoRR, 2023

Prompting is not a substitute for probability measurements in large language models.

Jennifer Hu, Roger Levy

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches.

Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons.

Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A fine-grained comparison of pragmatic language understanding in humans and language models.

Jennifer Hu, Sammy Floyd, Olessia Jouravlev, Evelina Fedorenko, Edward Gibson

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons.

Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu

CoRR, 2022

Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches.

Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh

CoRR, 2022

Teasing apart models of pragmatics using optimal reference game design.

Irene Zhou, Jennifer Hu, Roger Levy, Noga Zaslavsky

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Scalable pragmatic communication via self-supervision.

Jennifer Hu, Roger Levy, Noga Zaslavsky

CoRR, 2021

Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models.

Yiwen Wang, Jennifer Hu, Roger Levy, Peng Qian

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Empirical Support for a Rate-Distortion Account of Pragmatic Reasoning.

Irene Zhou, Jennifer Hu, Roger Levy, Noga Zaslavsky

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Competition from novel features drives scalar inferences in reference games.

Jennifer Hu, Noga Zaslavsky, Roger Levy

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

A Rate-Distortion view of human pragmatic reasoning.

Noga Zaslavsky, Jennifer Hu, Roger P. Levy

CoRR, 2020

On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior.

Ethan Wilcox, Jon Gauthier, Jennifer Hu, Peng Qian, Roger Levy

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

A Systematic Assessment of Syntactic Generalization in Neural Language Models.

Jennifer Hu, Jon Gauthier, Peng Qian, Ethan Wilcox, Roger Levy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

SyntaxGym: An Online Platform for Targeted Evaluation of Language Models.

Jon Gauthier, Jennifer Hu, Ethan Wilcox, Peng Qian, Roger Levy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Separating object resonance and room reverberation in impact sounds.

Jennifer Hu, James Traer, Josh H. McDermott

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Generating Bilingual Pragmatic Color References.

Will Monroe, Jennifer Hu, Andrew Jong, Christopher Potts

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018