---
title: "Thomas L. Griffiths — all works — Elamur Research"
description: "All 27 works of Thomas L. Griffiths in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/thomas-l-griffiths/works/"
---
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# Thomas L. Griffiths — all works

27 works · [← Thomas L. Griffiths](https://md.research.elamur.ai/free/en/authors/thomas-l-griffiths/)

1. **[Tree of Thoughts: Deliberate Problem Solving with Large Language Models ↗](https://arxiv.org/abs/2305.10601) arXiv:2305.10601 · no summary yet**Shunyu Yao et al.*2023 · 2,671 citations*
2. **[Hierarchical Topic Models and the Nested Chinese Restaurant Process ↗](https://openalex.org/W2132827946) no summary yet**Thomas L. Griffiths et al.*2003 · 986 citations*
3. **[The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies ↗](https://doi.org/10.1145/1667053.1667056) Journal of the ACM · no summary yet**David M. Blei, Thomas L. Griffiths, Michael I. Jordan*2007 · 675 citations*
4. **[Integrating Topics and Syntax ↗](https://openalex.org/W2112971401) no summary yet**Thomas L. Griffiths et al.*2004 · 546 citations*
5. **[A fully Bayesian approach to unsupervised part-of-speech tagging](https://md.research.elamur.ai/free/en/papers/goldwater-2007-fully-bayesian-approach-unsupervised-part/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sharon Goldwater, Tom Griffiths*2007 · 382 citations*
6. **[Contextual Dependencies in Unsupervised Word Segmentation](https://md.research.elamur.ai/free/en/papers/goldwater-2006-contextual-dependencies-unsupervised-word-segmentation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sharon Goldwater, Thomas L. Griffiths, Mark Johnson*2006 · 373 citations*
7. **[Integrating explanation and prediction in computational social science ↗](https://doi.org/10.1038/s41586-021-03659-0) Nature · no summary yet**Jake M. Hofman et al.*2021 · 370 citations*
8. **[Bayesian Inference for PCFGs via Markov Chain Monte Carlo](https://md.research.elamur.ai/free/en/papers/johnson-2007-bayesian-inference-pcfgs-markov-chain/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mark Johnson, Thomas Griffiths, Sharon Goldwater*2007 · 353 citations*
9. **[Human Uncertainty Makes Classification More Robust ↗](https://doi.org/10.1109/iccv.2019.00971) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Joshua C. Peterson et al.*2019 · 228 citations*
10. **[Cognitive Architectures for Language Agents ↗](https://arxiv.org/abs/2309.02427) arXiv:2309.02427 · no summary yet**Theodore R. Sumers et al.*2023 · 189 citations*
11. **[Automated reconstruction of ancient languages using probabilistic models of sound change ↗](https://doi.org/10.1073/pnas.1204678110) Proceedings of the National Academy of Sciences · no summary yet**Alexandre Bouchard‐Côté et al.*2013 · 177 citations*
12. **[Recasting Gradient-Based Meta-Learning as Hierarchical Bayes ↗](https://arxiv.org/abs/1801.08930) arXiv (Cornell University) · no summary yet**Erin Grant et al.*2018 · 165 citations*
13. **[Evaluating Theory of Mind in Question Answering ↗](https://aclanthology.org/D18-1261/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Aida Nematzadeh et al.*2018 · 114 citations*
14. **[Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve ↗](https://arxiv.org/abs/2309.13638) arXiv:2309.13638 · no summary yet**R. Thomas McCoy et al.*2023 · 111 citations*
15. **[A Probabilistic Approach to Diachronic Phonology ↗](https://aclanthology.org/D07-1093/) Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) · no summary yet**Alexandre Bouchard et al.*2007 · 78 citations*
16. **[Scaling up psychology via Scientific Regret Minimization ↗](https://doi.org/10.1073/pnas.1915841117) Proceedings of the National Academy of Sciences · no summary yet**Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths*2020 · 61 citations*
17. **[Improving Interpersonal Communication by Simulating Audiences with Language Models ↗](https://arxiv.org/abs/2311.00687) arXiv (Cornell University) · no summary yet**Ryan Liu et al.*2023 · 13 citations*
18. **[Localized Cultural Knowledge is Conserved and Controllable in Large Language Models](https://md.research.elamur.ai/free/en/papers/veselovsky-2026-localized-cultural-knowledge-is-conserved/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Veniamin Veselovsky, Berke Argın, Benedikt Stroebl, et al.*2026 · 7 citations*
19. **[On Benchmarking Human-Like Intelligence in Machines ↗](https://arxiv.org/abs/2502.20502) arXiv:2502.20502 · no summary yet**Lance Ying et al.*2025 · 7 citations*
20. **[When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1 ↗](https://arxiv.org/abs/2410.01792) arXiv (Cornell University) · no summary yet**Richard Thomas McCoy et al.*2024 · 7 citations*
21. **[A pragmatic account of the weak evidence effect](https://md.research.elamur.ai/free/en/papers/barnett-2021-pragmatic-account-weak-evidence-effect/) [Open Mind](https://md.research.elamur.ai/free/en/venues/open-mind/)**Samuel A. Barnett, Thomas L. Griffiths, Robert D. Hawkins*2021 · 7 citations*
22. **[Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems ↗](https://arxiv.org/abs/2505.17968) arXiv:2505.17968 · no summary yet**Jiayi Geng et al.*2025 · 4 citations*
23. **[Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models ↗](https://arxiv.org/abs/2507.07484) arXiv (Cornell University) · no summary yet**Liang, Kaiqu et al.*2025 · 3 citations*
24. **[Whither symbols in the era of advanced neural networks? ↗](https://doi.org/10.1016/j.tics.2026.02.003) Trends in Cognitive Sciences · no summary yet**Thomas L. Griffiths et al.*2026 · 2 citations*
25. **[Visually-Grounded Bayesian Word Learning ↗](https://openalex.org/W2737167511) UC Berkeley · no summary yet**Yangqing Jia et al.*2012*
26. **[\tThe nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies ↗](https://openalex.org/W7101199018) no summary yet**David M. Blei, Thomas L. Griffiths, Michael I. Jordan*2010*
27. **[Hierarchical topic models and the nested Chinese restaurant process. NIPS ↗](https://openalex.org/W7099976173) no summary yet**David M. Blei et al.*2004*