Thomas L. Griffiths

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

Achievements

+19 more ↓

🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (29) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird

🏃 Academic Marathon (19) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) 🏠 Conference Loyalist (21) 🌟 Keyword Trendsetter Combo (4) 👑 Domain Dominant (12) 🏆 Keyword Champion (6) 👑 Triple Crown 🌱 Topic Pioneer 🔬 Deep Specialist (12) 🧬 Topic Evolution 🏆 Grand Slam 🗃️ Keyword Collector (130) ⚡ Prolific Year (5) ❓ The Questioner (2) 📈 Trend Setter 🔥 Unstoppable (7) 🚀 Conference Pioneer 💎 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