🧑‍🔬 Noah D. Goodman — all works

60 works · ← Noah D. Goodman

1. Predicting Pragmatic Reasoning in Language GamesScienceMichael C. Frank, Noah D. Goodman2012 · 1,014 citations
2. STaR: Bootstrapping Reasoning With ReasoningEric Zelikman, Yuhuai Wu, Jesse Mu, et al.Mova's core list · 777 citations
3. Pragmatic Language Interpretation as Probabilistic Inference ↗Trends in Cognitive Sciences 20(11):818–829 · no summary yetNoah D. Goodman, Michael C. Frank2016 · 706 citations
4. Knowledge and Implicature: Modeling Language Understanding as Social Cognition ↗Topics in Cognitive Science 5(1):173–184 · no summary yetNoah D. Goodman, Andreas Stuhlmüller2013 · 447 citations
5. Nonliteral understanding of number wordsJustine T. Kao, Jean Y. Wu, Leon Bergen, et al.English · 214 citations
6. Pragmatic reasoning through semantic inference ↗Semantics and Pragmatics 9(20) · no summary yetLeon Bergen, Roger Levy, Noah D. Goodman2016 · 195 citations
7. Learning to Compress Prompts with Gist TokensConference on Neural Information Processing Systems (NeurIPS)Jesse Mu, Xiang Lisa Li, Noah Goodman2023 · 178 citations
8. Colors in Context: A Pragmatic Neural Model for Grounded Language UnderstandingTransactions of the Association for Computational Linguistics (TACL)Will Monroe, Robert X.D. Hawkins, Noah D. Goodman, et al.2017 · 156 citations
9. DisSent: Learning Sentence Representations from Explicit Discourse RelationsAnnual Meeting of the Association for Computational Linguistics (ACL)Allen Nie, Erin Bennett, Noah Goodman2019 · 134 citations
10. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsarXiv:2503.01307Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 123 citations
11. Pragmatically Informative Image Captioning with Character-Level InferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Reuben Cohn-Gordon, Noah Goodman, Christopher Potts2018 · 103 citations
12. Learning the Preferences of Ignorant, Inconsistent Agents ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetOwain Evans, Andreas Stuhlmüller, Noah D. Goodman2016 · 90 citations
13. Interpretability at Scale: Identifying Causal Mechanisms in AlpacaConference on Neural Information Processing Systems (NeurIPS)Zhengxuan Wu, Atticus Geiger, Thomas Icard, et al.2023 · 81 citations
14. Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations ↗arXiv:2303.02536 · no summary yetAtticus Geiger et al.2023 · 81 citations
15. Solving Math Word Problems by Combining Language Models With Symbolic Solvers ↗arXiv:2304.09102 · no summary yetJoy He-Yueya et al.2023 · 77 citations
16. Bias and Generalization in Deep Generative Models: An Empirical Study ↗arXiv (Cornell University) · no summary yetShengjia Zhao et al.2018 · 70 citations
17. Characterizing the dynamics of learning in repeated reference gamesCognitive ScienceRobert D. Hawkins, Michael C. Frank, Noah D. Goodman2019 · 67 citations
18. Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability ↗arXiv:2301.04709 · no summary yetAtticus Geiger et al.2023 · 65 citations
19. Why think step by step? Reasoning emerges from the locality of experience ↗arXiv:2304.03843 · no summary yetBen Prystawski, Michael Y. Li, Noah D. Goodman2023 · 65 citations
20. Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions ↗arXiv:2212.10561 · no summary yetEric Zelikman et al.2023 · 56 citations
21. Inducing Causal Structure for Interpretable Neural Networks ↗arXiv (Cornell University) · no summary yetAtticus Geiger et al.2021 · 53 citations
22. Stream of Search (SoS): Learning to Search in Language ↗arXiv:2404.03683 · no summary yetKanishk Gandhi et al.2024 · 49 citations
23. Shaping Visual Representations with Language for Few-Shot Classification ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetJesse Mu, Percy Liang, Noah Goodman2020 · 44 citations
24. STaR-GATE: Teaching Language Models to Ask Clarifying Questions ↗arXiv:2403.19154 · no summary yetChinmaya Andukuri et al.2024 · 43 citations
25. An information-theoretic explanation of adjective ordering preferences ↗eScholarship (California Digital Library) · no summary yetMichael Hahn et al.2018 · 43 citations
26. Strategic Reasoning with Language Models ↗arXiv:2305.19165 · no summary yetKanishk Gandhi, Dorsa Sadigh, Noah D. Goodman2023 · 40 citations
27. Continual Adaptation for Efficient Machine CommunicationConference on Computational Natural Language Learning (CoNLL)Robert Hawkins, Minae Kwon, Dorsa Sadigh, et al.2020 · 38 citations
28. An Incremental Iterated Response Model of PragmaticsProceedings of the Society for Computation in Linguistics (SCiL) 2019Reuben Cohn-Gordon, Noah Goodman, Christopher Potts2019 · 35 citations
29. Concadia: Towards Image-Based Text Generation with a Purpose ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetElisa Kreiss et al.2022 · 32 citations
30. Planning, Inference and Pragmatics in Sequential Language GamesTransactions of the Association for Computational Linguistics (TACL)Fereshte Khani, Noah D. Goodman, Percy Liang2018 · 31 citations
31. Learning to Generate Compositional Color Descriptions ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetWill Monroe, Noah D. Goodman, Christopher Potts2016 · 27 citations
32. pyvene: A Library for Understanding and Improving PyTorch Models via Interventions ↗arXiv (Cornell University) · no summary yetZhengxuan Wu et al.2024 · 26 citations
33. Causal Distillation for Language Models ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetZhengxuan Wu et al.2022 · 25 citations
34. Learning Formal Mathematics From Intrinsic Motivation ↗arXiv:2407.00695 · no summary yetGabriel Poesia et al.2024 · 23 citations
35. Certified Deductive Reasoning with Language Models ↗arXiv:2306.04031 · no summary yetGabriel Poesia et al.2023 · 23 citations
36. Language Through a Prism: A Spectral Approach for Multiscale Language Representations ↗arXiv (Cornell University) · no summary yetAlex Tamkin, Dan Jurafsky, Noah D. Goodman2020 · 22 citations
37. Meta-Amortized Variational Inference and Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMike Wu et al.2020 · 21 citations
38. Peano: Learning Formal Mathematical Reasoning ↗arXiv:2211.15864 · no summary yetGabriel Poesia, Noah D. Goodman2022 · 19 citations
39. Learning to refer informatively by amortizing pragmatic reasoning ↗arXiv:2006.00418 · no summary yetJulia White, Jesse Mu, Noah D. Goodman2020 · 19 citations
40. Is Child-Directed Speech Effective Training Data for Language Models?Conference on Empirical Methods in Natural Language Processing (EMNLP)Steven Y. Feng, Noah D. Goodman, Michael C. Frank2024 · 18 citations
41. Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models ↗arXiv (Cornell University) · no summary yetBen Prystawski et al.2022 · 17 citations
42. Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference LabelsConference on Neural Information Processing Systems (NeurIPS)Jan-Philipp Franken, Eric Zelikman, Rafael Rafailov, et al.2024 · 16 citations
43. Value Profiles for Encoding Human VariationConference on Empirical Methods in Natural Language Processing (EMNLP)Taylor Sorensen, Pushkar Mishra, Roma Patel, et al.2025 · 15 citations
44. Automated Statistical Model Discovery with Language Models ↗arXiv:2402.17879 · no summary yetMichael Y. Li, Emily B. Fox, Noah D. Goodman2024 · 14 citations
45. Psychometric Alignment: Capturing Human Knowledge Distributions via Language ModelsarXiv:2407.15645Joy He-Yueya, Wanjing Anya Ma, Kanishk Gandhi, et al.2024 · 12 citations
46. Bayesian Preference Elicitation with Language Models ↗arXiv:2403.05534 · no summary yetKunal Handa et al.2024 · 8 citations
47. Evaluating and Optimizing Educational Content with Large Language Model Judgments ↗arXiv:2403.02795 · no summary yetJoy He-Yueya, Noah D. Goodman, Emma Brunskill2024 · 7 citations
48. \textttpyvene: A Library for Understanding and Improving PyTorch Models via Interventions ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations) · no summary yetZhengxuan Wu et al.2024 · 7 citations
49. A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments ↗arXiv (Cornell University) · no summary yetZhengxuan Wu et al.2024 · 5 citations
50. Calibrate your listeners! Robust communication-based training for pragmatic speakersFindings of the Association for Computational LinguisticsRose Wang, Julia White, Jesse Mu, et al.2021 · 5 citations
51. BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery ↗arXiv:2501.01540 · no summary yetKanishk Gandhi et al.2025 · 4 citations
52. Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness ↗arXiv (Cornell University) · no summary yetEric Zelikman et al.2023 · 3 citations
53. Bayesian scaling laws for in-context learning ↗arXiv (Cornell University) · no summary yetAryaman Arora et al.2024 · 2 citations
54. Color Overmodification Emerges from Data-Driven Learning and Pragmatic ReasoningarXiv:2205.09172Fei Fang, Kunal Sinha, Noah D. Goodman, et al.2022 · 1 citation
55. Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference ↗arXiv (Cornell University) · no summary yetMike Wu, Noah D. Goodman, Stefano Ermon2018 · 1 citation
56. Matryoshka attribution: Learning to attribute language model outputs to representations and weights ↗arXiv (Cornell University) · no summary yetAryaman Arora et al.2026
57. Verifiable, Articulable, and Tacit Components of Preference ↗arXiv (Cornell University) · no summary yetAlexander Spangher et al.2026
58. Mechanistic interpretability and control for language models ↗Stanford Digital Repository · no summary yetZhengxuan Wu et al.2026
59. Improving Compositionality of Neural Networks by Decoding Representations to Inputs ↗arXiv (Cornell University) · no summary yetMike Wu, Noah D. Goodman, Stefano Ermon2021
60. The Logic of Conversational Implicatures ↗no summary yetChristopher E. Potts et al.2003

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/noah-d-goodman/works/