Preprints

Myra Cheng, Robert D. Hawkins, Dan Jurafsky. 2026. Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs. Preprint

Bianca Datta, Markus J. Buehler, Yvonne Chow, Kristina Gligoric, Dan Jurafsky, David L. Kaplan, Rodrigo Ledesma-Amaro, Giorgia Del Missier, Lisa Neidhardt, Karim Pichara, Benjamin Sanchez-Lengeling, Miek Schlangen, Skyler R. St. Pierre, Ilias Tagkopoulos, Anna Thomas, Nicholas J. Watson, Ellen Kuhl. 2025. AI for Sustainable Future Foods. arXiv preprint arXiv:2509.21556 (2025).

Kaitlyn Zhou, Kristina Gligorić, Myra Cheng, Michelle S. Lam, Vyoma Raman, Boluwatife Amin, Caeley Woo, Michael Brockman, Hannah Cha, and Dan Jurafsky. Attention to Non-Adopters. arXiv.

2026

Myra Cheng, Cinoo Lee, Pranav Khadpe, Sunny Yu, Dyllan Han, Dan Jurafsky. Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence. , Science, Vol. 391, No. 6792.
Press: NY Times, AP, Scientific American.

Isabel O. Gallegos, Chen Shani, Weiyan Shi, Federico Bianchi, Izzy Gainsburg, Dan Jurafsky, Robb Willer. 2026. Labeling messages as AI-generated does not reduce their persuasive effects. PNAS Nexus, Volume 5, Issue 2, February 2026, pgag008.

Moran Mizrahi, Chen Shani, Gabriel Stanovsky, Dan Jurafsky, Dafna Shahaf. 2026 Cooking Up Creativity: A Cognitively-Inspired Approach for Enhancing LLM Creativity through Structured Representations. In press , TACL 2026.

Doumbouya, Moussa Koulako Bala, Dan Jurafsky, and Christopher D. Manning. 2026. Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity. To appear, ICLR 2026

Myra Cheng*, Sunny Yu*, Cinoo Lee, Pranav Khadpe, Lujain Ibrahim, Dan Jurafsky. ELEPHANT: Measuring and Understanding Social Sycophancy in LLMs.. To appear, ICLR 2026. [code] Press coverage by MIT Technology Review and VentureBeat.

Chen Shani, Dan Jurafsky, Yann LeCun, Ravid Shwartz-Ziv. 2026. From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning. To appear, ICR 2026.

*Martijn Bartelds, *Nandi, Ananjan, Doumbouya, Moussa K. B., Jurafsky, Dan, Hashimoto, Tatsunori, and Karen Livescu (2026). CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition. To appear, ICLR.

Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, Dan Jurafsky, James Zou. 2026. Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory. To appear, EACL 2026.

Laya Iyer; Pranav Somani; Alice Guo; Dan Jurafsky; Chen Shani. 2026. Beyond Tokens: Concept-Level Training Objectives for LLMs. To appear, EACL 2026