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ORCIDMichael Henry Tessler
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2020 – today
- 2024
[c27]Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen:
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. NAACL-HLT 2024: 8425-8444- [i11]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, Sophie Bridgers, Harry Law, Matthew Rahtz, Murray Shanahan, Michael Henry Tessler, Arthur Douillard, Tom Everitt, Sasha Brown:
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI. CoRR abs/2404.15058 (2024) - 2023
- [i10]Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen:
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. CoRR abs/2311.00445 (2023) - 2022
- [j2]Michael Henry Tessler
, Noah D. Goodman:
Warm (for Winter): Inferring Comparison Classes in Communication. Cogn. Sci. 46(3) (2022) - [j1]Michael Henry Tessler, Joshua B. Tenenbaum, Noah D. Goodman:
Logic, Probability, and Pragmatics in Syllogistic Reasoning. Top. Cogn. Sci. 14(3): 574-601 (2022) - [c26]Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill:
Can language models learn from explanations in context? EMNLP (Findings) 2022: 537-563 - [c25]Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, Josh Tenenbaum:
Communicating Natural Programs to Humans and Machines. NeurIPS 2022 - [c24]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:
Fine-tuning language models to find agreement among humans with diverse preferences. NeurIPS 2022 - [i9]Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane X. Wang, Felix Hill:
Can language models learn from explanations in context? CoRR abs/2204.02329 (2022) - [i8]Emmy Liu, Michael Henry Tessler, Nicole Dubosh, Katherine Mosher Hiller, Roger Levy:
Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback. CoRR abs/2206.00234 (2022) - [i7]Michiel A. Bakker, Martin J. Chadwick, Hannah R. Sheahan, Michael Henry Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matthew M. Botvinick, Christopher Summerfield:
Fine-tuning language models to find agreement among humans with diverse preferences. CoRR abs/2211.15006 (2022) - 2021
- [c23]Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum:
LARC: Language annotated Abstraction and Reasoning Corpus. CogSci 2021 - [c22]Michael Henry Tessler, Pedro Tsividis, Jason Madeano, Brin Harper, Josh Tenenbaum:
Growing knowledge culturally across generations to solve novel, complex task. CogSci 2021 - [c21]Yang Wu, Michael Henry Tessler, Mika Asaba, Peter Zhu, Hyowon Gweon, Michael C. Frank:
Integrating emotional expressions with utterances in pragmatic inference. CogSci 2021 - [c20]Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake:
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. NeurIPS 2021: 25192-25204 - [i6]Gregory Scontras, Michael Henry Tessler, Michael Franke:
A practical introduction to the Rational Speech Act modeling framework. CoRR abs/2105.09867 (2021) - [i5]Samuel Acquaviva, Yewen Pu, Marta Kryven, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Theodoros Sechopoulos, Michael Henry Tessler, Joshua B. Tenenbaum:
Communicating Natural Programs to Humans and Machines. CoRR abs/2106.07824 (2021) - [i4]Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake:
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. CoRR abs/2107.02794 (2021) - [i3]Michael Henry Tessler, Pedro A. Tsividis, Jason Madeano, Brin Harper, Joshua B. Tenenbaum:
Growing knowledge culturally across generations to solve novel, complex tasks. CoRR abs/2107.13377 (2021) - 2020
- [c19]Alexander K. Lew, Michael Henry Tessler, Vikash Mansinghka, Josh Tenenbaum:
Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought. CogSci 2020 - [c18]Michael Henry Tessler, Sophie Bridgers, Josh Tenenbaum:
How many observations is one generic worth? CogSci 2020 - [c17]Michael Henry Tessler, Polina Tsvilodub, Jesse Snedeker, Roger Levy:
Informational goals, sentence structure, and comparison class inference. CogSci 2020
2010 – 2019
- 2019
- [c16]Emmanuel M. Pothos, Jerome R. Busemeyer, Timothy J. Pleskac, James M. Yearsley, Josh Tenenbaum, Noah D. Goodman, Michael Henry Tessler, Tom Griffiths, Falk Lieder, Ralph Hertwig, Thorsten Pachur, Christina Leuker, Richard M. Shiffrin:
Extending Rationality. CogSci 2019: 39-40 - [c15]Manuel Bohn, Michael Henry Tessler, Michael C. Frank:
Integrating Common Ground and Informativeness in Pragmatic Word Learning. CogSci 2019: 152-158 - [c14]Sahil Chopra, Michael Henry Tessler, Noah D. Goodman:
The first crank of the cultural ratchet: Learning and transmitting concepts through language. CogSci 2019: 226-232 - [c13]Michael Henry Tessler, Karen Gu, Roger Levy:
Incremental understanding of conjunctive generic sentences. CogSci 2019: 2954-2960 - 2018
- [c12]Monica A. Gates, Tess L. Veuthey, Michael Henry Tessler, Kevin A. Smith, Tobias Gerstenberg, Laurie Bayet, Josh Tenenbaum:
Tiptoeing around it: Inference from absence in potentially offensive speech. CogSci 2018 - [c11]Long Ouyang, Michael Henry Tessler, Daniel Ly, Noah D. Goodman:
webppl-oed: A practical optimal experiment design system. CogSci 2018 - [c10]Michael Henry Tessler, Michael Franke:
Not unreasonable: Carving vague dimensions with contraries and contradictions. CogSci 2018 - [c9]Michael Henry Tessler, Noah D. Goodman:
Statistics as Pottery: Bayesian Data Analysis using Probabilistic Programs. CogSci 2018 - [c8]Michael Henry Tessler, Noah D. Goodman, David Danks, Emily Foster-Hanson, Marjorie Rhodes, Greg Carlson:
Generalizations, from representation to transmission. CogSci 2018 - 2017
- [c7]Michael Henry Tessler, Michael Lopez-Brau, Noah D. Goodman:
Warm (for winter): Comparison class understanding in vague language. CogSci 2017 - [c6]Erica J. Yoon, Michael Henry Tessler, Noah D. Goodman, Michael C. Frank:
"I won't lie, it wasn't amazing": Modeling polite indirect speech. CogSci 2017 - 2016
- [c5]Michael Franke, Fabian Dablander, Anthea Schöller, Erin Bennett, Judith Degen, Michael Henry Tessler, Justine T. Kao, Noah D. Goodman:
What does the crowd believe? A hierarchical approach to estimating subjective beliefs from empirical data. CogSci 2016 - [c4]Michael Henry Tessler, Noah D. Goodman:
Communicating generalizations about events. CogSci 2016 - [c3]Erica J. Yoon, Michael Henry Tessler, Noah D. Goodman, Michael C. Frank:
Talking with tact: Polite language as a balance between informativity and kindness. CogSci 2016 - [i2]Michael Henry Tessler, Noah D. Goodman:
A pragmatic theory of generic language. CoRR abs/1608.02926 (2016) - [i1]Long Ouyang, Michael Henry Tessler, Daniel Ly, Noah D. Goodman:
Practical optimal experiment design with probabilistic programs. CoRR abs/1608.05046 (2016) - 2015
- [c2]Judith Degen, Michael Henry Tessler, Noah D. Goodman:
Wonky worlds: Listeners revise world knowledge when utterances are odd. CogSci 2015 - 2014
- [c1]Michael Henry Tessler, Noah D. Goodman:
Some arguments are probably valid: Syllogistic reasoning as communication. CogSci 2014
Coauthor Index
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last updated on 2024-08-30 20:40 CEST by the dblp team
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