Some arguments are probably valid: Syllogistic reasoning as communication. - Michael Henry Tessler; Noah D. Goodman (CogSci, 2014)

Wonky worlds: Listeners revise world knowledge when utterances are odd. - Judith Degen; Michael Henry Tessler; Noah D. Goodman (CogSci, 2015)

What does the crowd believe? A hierarchical approach to estimating subjective beliefs from empirical data. - Michael Franke; Fabian Dablander; Anthea Schöller; Erin Bennett; Judith Degen; Michael Henry Tessler; Justine T. Kao; Noah D. Goodman (CogSci, 2016)

Communicating generalizations about events. - Michael Henry Tessler; Noah D. Goodman (CogSci, 2016)

Talking with tact: Polite language as a balance between informativity and kindness. - Erica J. Yoon; Michael Henry Tessler; Noah D. Goodman; Michael C. Frank (CogSci, 2016)

Practical optimal experiment design with probabilistic programs. - Long Ouyang; Michael Henry Tessler; Daniel Ly; Noah D. Goodman (CoRR, 2016)

A pragmatic theory of generic language. - Michael Henry Tessler; Noah D. Goodman (CoRR, 2016)

Warm (for winter): Comparison class understanding in vague language. - Michael Henry Tessler; Michael Lopez-Brau; Noah D. Goodman (CogSci, 2017)

"I won't lie, it wasn't amazing": Modeling polite indirect speech. - Erica J. Yoon; Michael Henry Tessler; Noah D. Goodman; Michael C. Frank (CogSci, 2017)

Tiptoeing around it: Inference from absence in potentially offensive speech. - Monica A. Gates; Tess L. Veuthey; Michael Henry Tessler; Kevin A. Smith 001; Tobias Gerstenberg; Laurie Bayet; Josh Tenenbaum 001 (CogSci, 2018)

webppl-oed: A practical optimal experiment design system. - Long Ouyang; Michael Henry Tessler; Daniel Ly; Noah D. Goodman (CogSci, 2018)

Not unreasonable: Carving vague dimensions with contraries and contradictions. - Michael Henry Tessler; Michael Franke (CogSci, 2018)

Statistics as Pottery: Bayesian Data Analysis using Probabilistic Programs. - Michael Henry Tessler; Noah D. Goodman (CogSci, 2018)

Generalizations, from representation to transmission. - Michael Henry Tessler; Noah D. Goodman; David Danks; Emily Foster-Hanson; Marjorie Rhodes; Greg Carlson (CogSci, 2018)

Integrating Common Ground and Informativeness in Pragmatic Word Learning. - Manuel Bohn; Michael Henry Tessler; Michael C. Frank (CogSci, 2019)

The first crank of the cultural ratchet: Learning and transmitting concepts through language. - Sahil Chopra; Michael Henry Tessler; Noah D. Goodman (CogSci, 2019)

Extending Rationality. - Emmanuel M. Pothos; Jerome R. Busemeyer; Timothy J. Pleskac; James M. Yearsley; Josh Tenenbaum 001; Noah D. Goodman; Michael Henry Tessler; Tom Griffiths 001; Falk Lieder; Ralph Hertwig; Thorsten Pachur; Christina Leuker; et al. (CogSci, 2019)

Incremental understanding of conjunctive generic sentences. - Michael Henry Tessler; Karen Gu; Roger Levy (CogSci, 2019)

Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought. - Alexander K. Lew; Michael Henry Tessler; Vikash Mansinghka 001; Josh Tenenbaum 001 (CogSci, 2020)

How many observations is one generic worth? - Michael Henry Tessler; Sophie Bridgers; Josh Tenenbaum 001 (CogSci, 2020)

Informational goals, sentence structure, and comparison class inference. - Michael Henry Tessler; Polina Tsvilodub; Jesse Snedeker; Roger Levy (CogSci, 2020)

LARC: Language annotated Abstraction and Reasoning Corpus. - Samuel Acquaviva; Yewen Pu; Maxwell I. Nye; Catherine Wong; Michael Henry Tessler; Josh Tenenbaum 001 (CogSci, 2021)

Growing knowledge culturally across generations to solve novel, complex task. - Michael Henry Tessler; Pedro Tsividis; Jason Madeano; Brin Harper; Josh Tenenbaum 001 (CogSci, 2021)

Integrating emotional expressions with utterances in pragmatic inference. - Yang Wu; Michael Henry Tessler; Mika Asaba; Peter Zhu; Hyowon Gweon; Michael C. Frank (CogSci, 2021)

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. - Maxwell I. Nye; Michael Henry Tessler; Joshua B. Tenenbaum; Brenden M. Lake (NeurIPS, 2021)

A practical introduction to the Rational Speech Act modeling framework. - Gregory Scontras; Michael Henry Tessler; Michael Franke (CoRR, 2021)

Growing knowledge culturally across generations to solve novel, complex tasks. - Michael Henry Tessler; Pedro A. Tsividis; Jason Madeano; Brin Harper; Joshua B. Tenenbaum (CoRR, 2021)

Can language models learn from explanations in context? - Andrew K. Lampinen; Ishita Dasgupta 001; Stephanie C. Y. Chan; Kory W. Mathewson; Michael Henry Tessler; Antonia Creswell; James L. McClelland; Jane Wang 001; Felix Hill (EMNLP (Findings), 2022)

Communicating Natural Programs to Humans and Machines. - Samuel Acquaviva; Yewen Pu; Marta Kryven; Theodoros Sechopoulos; Catherine Wong; Gabrielle E. Ecanow; Maxwell I. Nye; Michael Henry Tessler; Josh Tenenbaum 001 (NeurIPS, 2022)

Fine-tuning language models to find agreement among humans with diverse preferences. - Michiel A. Bakker; Martin J. Chadwick; Hannah Sheahan; Michael Henry Tessler; Lucy Campbell-Gillingham; Jan Balaguer; Nat McAleese; Amelia Glaese; John Aslanides; Matt M. Botvinick; Christopher Summerfield (NeurIPS, 2022)

Warm (for Winter): Inferring Comparison Classes in Communication. - Michael Henry Tessler; Noah D. Goodman (Cogn. Sci., 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)

Logic, Probability, and Pragmatics in Syllogistic Reasoning. - Michael Henry Tessler; Joshua B. Tenenbaum; Noah D. Goodman (Top. Cogn. Sci., 2022)

A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. - Tiwalayo Eisape; Michael Henry Tessler; Ishita Dasgupta 001; Fei Sha; Sjoerd van Steenkiste; Tal Linzen (NAACL-HLT, 2024)

A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI. - Seliem El-Sayed; Canfer Akbulut; Amanda McCroskery; Geoff Keeling; Zachary Kenton; Zaria Jalan; Nahema Marchal; Arianna Manzini; Toby Shevlane; Shannon Vallor; Daniel Susser; Matija Franklin; et al. (CoRR, 2024)

AI and the Future of Digital Public Squares. - Beth Goldberg; Diana Acosta-Navas; Michiel A. Bakker; Ian Beacock; Matthew Botvinick; Prateek Buch; Renee DiResta; Nandika Donthi; Nathanael Fast; Ravi Iyer; Zaria Jalan; Andrew Konya; et al. (CoRR, 2024)

Language Agents as Digital Representatives in Collective Decision-Making. - Daniel Jarrett; Miruna Pîslar; Michiel A. Bakker; Michael Henry Tessler; Raphael Köster; Jan Balaguer; Romuald Elie; Christopher Summerfield; Andrea Tacchetti (CoRR, 2025)

Value Profiles for Encoding Human Variation. - Taylor Sorensen; Pushkar Mishra; Roma Patel; Michael Henry Tessler; Michiel A. Bakker; Georgina Evans; Iason Gabriel; Noah D. Goodman; Verena Rieser (CoRR, 2025)