Generating Bilingual Pragmatic Color References. - Will Monroe; Jennifer Hu 001; Andrew Jong; Christopher Potts (NAACL-HLT, 2018)

Separating object resonance and room reverberation in impact sounds. - Jennifer Hu 001; James Traer; Josh H. McDermott (CogSci, 2019)

SyntaxGym: An Online Platform for Targeted Evaluation of Language Models. - Jon Gauthier; Jennifer Hu 001; Ethan Wilcox; Peng Qian; Roger Levy (ACL (demo), 2020)

A Systematic Assessment of Syntactic Generalization in Neural Language Models. - Jennifer Hu 001; Jon Gauthier; Peng Qian; Ethan Wilcox; Roger Levy (ACL, 2020)

On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior. - Ethan Wilcox; Jon Gauthier; Jennifer Hu 001; Peng Qian; Roger Levy (CogSci, 2020)

A Rate-Distortion view of human pragmatic reasoning. - Noga Zaslavsky; Jennifer Hu 001; Roger P. Levy (CoRR, 2020)

Competition from novel features drives scalar inferences in reference games. - Jennifer Hu 001; Noga Zaslavsky; Roger Levy (CogSci, 2021)

Empirical Support for a Rate-Distortion Account of Pragmatic Reasoning. - Irene Zhou; Jennifer Hu 001; Roger Levy; Noga Zaslavsky (CogSci, 2021)

Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models. - Yiwen Wang; Jennifer Hu 001; Roger Levy; Peng Qian (EMNLP (1), 2021)

Scalable pragmatic communication via self-supervision. - Jennifer Hu 001; Roger Levy; Noga Zaslavsky (CoRR, 2021)

Teasing apart models of pragmatics using optimal reference game design. - Irene Zhou; Jennifer Hu 001; Roger Levy; Noga Zaslavsky (CogSci, 2022)

Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches. - Daniel Fried; Nicholas Tomlin; Jennifer Hu 001; Roma Patel; Aida Nematzadeh (CoRR, 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 001; Jay Pujara; Xiang Ren 001; Chris Callison-Burch; Yejin Choi 001; Prithviraj Ammanabrolu (CoRR, 2022)

A fine-grained comparison of pragmatic language understanding in humans and language models. - Jennifer Hu 001; Sammy Floyd; Olessia Jouravlev; Evelina Fedorenko; Edward Gibson (ACL (1), 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 001; Jay Pujara; Xiang Ren 001; Chris Callison-Burch; Yejin Choi 001; Prithviraj Ammanabrolu (ACL (1), 2023)

Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches. - Daniel Fried; Nicholas Tomlin; Jennifer Hu 001; Roma Patel; Aida Nematzadeh (EMNLP (Findings), 2023)

Prompting is not a substitute for probability measurements in large language models. - Jennifer Hu 001; Roger Levy (EMNLP, 2023)

Prompt-based methods may underestimate large language models' linguistic generalizations. - Jennifer Hu 001; Roger Levy (CoRR, 2023)

Expectations over Unspoken Alternatives Predict Pragmatic Inferences. - Jennifer Hu 001; Roger Levy; Judith Degen; Sebastian Schuster (Trans. Assoc. Comput. Linguistics, 2023)

Language models align with human judgments on key grammatical constructions. - Jennifer Hu 001; Kyle Mahowald; Gary Lupyan; Anna A. Ivanova; Roger Levy (CoRR, 2024)

Auxiliary task demands mask the capabilities of smaller language models. - Jennifer Hu 001; Michael C. Frank (CoRR, 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 001; R. T. Pramod; Gabriel Grand; Vivian C. Paulun; Maria Ryskina; et al. (CoRR, 2024)

One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity. - Sonia K. Murthy; Tomer D. Ullman; Jennifer Hu 001 (NAACL (Long Papers), 2025)

Shades of Zero: Distinguishing Impossibility from Inconceivability. - Jennifer Hu 001; Felix Sosa; Tomer D. Ullman (CoRR, 2025)

Re-evaluating Theory of Mind evaluation in large language models. - Jennifer Hu 001; Felix Sosa; Tomer D. Ullman (CoRR, 2025)

Language Models Fail to Introspect About Their Knowledge of Language. - Siyuan Song; Jennifer Hu 001; Kyle Mahowald (CoRR, 2025)

Linking forward-pass dynamics in Transformers and real-time human processing. - Jennifer Hu 001; Michael A. Lepori; Michael Franke (CoRR, 2025)

A suite of LMs comprehend puzzle statements as well as humans. - Adele E. Goldberg; Supantho Rakshit; Jennifer Hu 001; Kyle Mahowald (CoRR, 2025)

Inside you are many wolves: Using cognitive models to interpret value trade-offs in LLMs. - Sonia K. Murthy; Rosie Zhao; Jennifer Hu 001; Sham M. Kakade; Markus Wulfmeier; Peng Qian; Tomer D. Ullman (CoRR, 2025)

Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility. - Michael A. Lepori; Jennifer Hu 001; Ishita Dasgupta 001; Roma Patel; Thomas Serre; Ellie Pavlick (CoRR, 2025)

Privileged Self-Access Matters for Introspection in AI. - Siyuan Song; Harvey Lederman; Jennifer Hu 001; Kyle Mahowald (CoRR, 2025)