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Thomas L. Griffiths

49 papers · 2006–2025 · 12 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (29) 🌍 Conference Polyglot (12) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (19) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) 🏠 Conference Loyalist (21) 🌟 Keyword Trendsetter Combo (4) πŸ‘‘ Domain Dominant (12) πŸ† Keyword Champion (6) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (130) ⚑ Prolific Year (5) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer πŸ’Ž Century Club (49)

Conferences

NIPS (21) ICLR (7) ICML (5) EMNLP (3) UAI (3) ACL (2) COLING (2) JMLR (2) AAAI (1) ICCV (1) IJCAI (1) NAACL (1)

Top co-authors

Ilia Sucholutsky (7) Sharon Goldwater (4) Mark Johnson (4) Joseph L. Austerweil (4) Theodore Sumers (3) Ryan Liu (3) Raja Marjieh (3) Joshua T. Abbott (3) Nori Jacoby (3) Jake C. Snell (3)

Keywords

cognitive modeling (9) nonparametric bayesian (8) bayesian inference (8) representation learning (4) bayesian nonparametrics (4) human learning (3) indian buffet process (3) rational analysis (2) serial reproduction (2) rational models (2) dirichlet process (2) few-shot learning (2) nonparametric bayesian inference (2) gaussian process (2) feature learning (2) probabilistic modeling (2) markov chain monte carlo (2) pitman-yor process (2) particle filter (2) generative model (2)

Papers

Large Language Models Assume People are More Rational than We Really are ICLR 2025
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice ICLR 2025
Evaluating distillation methods for data-efficient syntax learning EMNLP 2025
Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models EMNLP 2025
Conformal Prediction as Bayesian Quadrature ICML 2025
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse ICML 2025
Hindsight Merging: Diverse Data Generation with Language Models UAI 2025
A Metalearned Neural Circuit for Nonparametric Bayesian Inference NIPS 2024
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? ICML 2024
Learning with Language-Guided State Abstractions ICLR 2024
Implicit Maximum a Posteriori Filtering via Adaptive Optimization ICLR 2024
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning EMNLP 2024
Learning Human-like Representations to Enable Learning Human Values NIPS 2024
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem NIPS 2024
Gaussian Process Surrogate Models for Neural Networks UAI 2023
Analyzing Diffusion as Serial Reproduction ICML 2023
On the informativeness of supervision signals UAI 2023
Words are all you need? Language as an approximation for human similarity judgments ICLR 2023
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement ICLR 2023
Learning Rewards From Linguistic Feedback AAAI 2021
Automatically Composing Representation Transformations as a Means for Generalization ICLR 2019
Human Uncertainty Makes Classification More Robust ICCV 2019
Cognitive model priors for predicting human decisions ICML 2019
Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report IJCAI 2017
Human memory search as a random walk in a semantic network NIPS 2012
The Indian Buffet Process: An Introduction and Review JMLR 2011
Testing a Bayesian Measure of Representativeness Using a Large Image Database NIPS 2011
An ideal observer model for identifying the reference frame of objects NIPS 2011
A rational model of causal inference with continuous causes NIPS 2011
Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models JMLR 2011
Learning invariant features using the Transformed Indian Buffet Process NIPS 2010
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling NIPS 2009
Improved Reconstruction of Protolanguage Word Forms NAACL 2009
Nonparametric Latent Feature Models for Link Prediction NIPS 2009
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NIPS 2009
How memory biases affect information transmission: A rational analysis of serial reproduction NIPS 2008
A rational model of preference learning and choice prediction by children NIPS 2008
Modeling human function learning with Gaussian processes NIPS 2008
Analyzing human feature learning as nonparametric Bayesian inference NIPS 2008
Modeling the effects of memory on human online sentence processing with particle filters NIPS 2008
A Probabilistic Approach to Language Change NIPS 2007
Markov Chain Monte Carlo with People NIPS 2007
Unsupervised Topic Modelling for Multi-Party Spoken Discourse ACL 2006
Unsupervised Topic Modelling for Multi-Party Spoken Discourse COLING 2006
Contextual Dependencies in Unsupervised Word Segmentation COLING 2006
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models NIPS 2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NIPS 2006
Particle Filtering for Nonparametric Bayesian Matrix Factorization NIPS 2006
Contextual Dependencies in Unsupervised Word Segmentation ACL 2006