PPaperPicks

Thomas L. Griffiths

Princeton University, Department of Psychology, NJ, USA

20 papers at tracked venues · 16 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-5138-7255 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×6ICLR ×4ICML ×3ACL ×2EMNLP ×2AAAI ×1NAACL ×1UAI ×1

Frequent coauthors

Ryan Liu
×5
Ilia Sucholutsky
×4
Theodore R. Sumers
×3
Jake Snell
×3
Gianluca M. Bencomo
×3
Veniamin Veselovsky
×2
Benedikt Stroebl
×2
Arvind Narayanan
×2
Addison J. Wu
×2
Jonathan D. Cohen
×2
R. Thomas McCoy
×2
Jiayi Geng
×2

Papers

  1. Localized Cultural Knowledge is Conserved and Controllable in Large Language Models
    ACL 2026 ·
    Veniamin Veselovsky
    ,
    Berke Argin
    ,
    Benedikt Stroebl
    ,
    Chris Wendler
    ,
    Robert West
    ,
    James Evans
    , Thomas L. Griffiths,
    Arvind Narayanan
  2. RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
    ACL 2026 ·
    Kaiqu Liang
    ,
    Haimin Hu
    ,
    Ryan Liu
    , Thomas L. Griffiths,
    Jaime Fernández Fisac
  3. Are Large Language Models Sensitive to the Motives Behind Communication?
    NeurIPS 2025 ·
    Addison J. Wu
    ,
    Ryan Liu
    ,
    Kerem Oktar
    ,
    Theodore R. Sumers
    , Tom Griffiths
  4. Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers
    NeurIPS 2025 ·
    Andrew Nam
    ,
    Henry Conklin
    ,
    Yukang Yang
    , Tom Griffiths,
    Jonathan D. Cohen
    ,
    Sarah-Jane Leslie
  5. Conformal Prediction as Bayesian Quadrature
    ICML 2025 ·
    Jake C. Snell
    , Thomas L. Griffiths
  6. Evaluating distillation methods for data-efficient syntax learning
    EMNLP 2025 ·
    Takateru Yamakoshi
    , Thomas L. Griffiths,
    R. Thomas McCoy
    ,
    Robert D. Hawkins
  7. Hindsight Merging: Diverse Data Generation with Language Models
    UAI 2025 ·
    Veniamin Veselovsky
    ,
    Benedikt Stroebl
    ,
    Gianluca M. Bencomo
    ,
    Dilip Arumugam
    ,
    Lisa Schut
    ,
    Arvind Narayanan
    , Thomas L. Griffiths
  8. Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
    ICLR 2025 ·
    Jian-Qiao Zhu
    ,
    Haijiang Yan
    , Thomas L. Griffiths
  9. Large Language Models Assume People are More Rational than We Really are
    ICLR 2025 ·
    Ryan Liu
    ,
    Jiayi Geng
    ,
    Joshua C. Peterson
    ,
    Ilia Sucholutsky
    , Thomas L. Griffiths
  10. Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
    ICML 2025 ·
    Ryan Liu
    ,
    Jiayi Geng
    ,
    Addison J. Wu
    ,
    Ilia Sucholutsky
    ,
    Tania Lombrozo
    , Thomas L. Griffiths
  11. Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
    NeurIPS 2025 ·
    Ruaridh Mon-Williams
    ,
    Max Taylor-Davies
    ,
    Elizabeth Mieczkowski
    ,
    Natalia Vélez
    ,
    Neil Bramley
    ,
    Yanwei Wang
    , Tom Griffiths,
    Christopher G. Lucas
  12. A Metalearned Neural Circuit for Nonparametric Bayesian Inference
    NeurIPS 2024 ·
    Jake Snell
    ,
    Gianluca M. Bencomo
    , Tom Griffiths
  13. Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
    EMNLP 2024 ·
    Akshara Prabhakar
    , Thomas L. Griffiths,
    R. Thomas McCoy
  14. How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
    ICML 2024 ·
    Ryan Liu
    ,
    Theodore R. Sumers
    ,
    Ishita Dasgupta
    , Thomas L. Griffiths
  15. Implicit Maximum a Posteriori Filtering via Adaptive Optimization
    ICLR 2024 ·
    Gianluca M. Bencomo
    ,
    Jake Snell
    , Thomas L. Griffiths
  16. Learning Human-like Representations to Enable Learning Human Values
    NeurIPS 2024 ·
    Andrea Wynn
    ,
    Ilia Sucholutsky
    , Tom Griffiths
  17. Learning with Language-Guided State Abstractions
    ICLR 2024 ·
    Andi Peng
    ,
    Ilia Sucholutsky
    ,
    Belinda Z. Li
    ,
    Theodore R. Sumers
    , Thomas L. Griffiths,
    Jacob Andreas
    ,
    Julie Shah
  18. MacGyver: Are Large Language Models Creative Problem Solvers?
    NAACL 2024 ·
    Yufei Tian
    ,
    Abhilasha Ravichander
    ,
    Lianhui Qin
    ,
    Ronan Le Bras
    ,
    Raja Marjieh
    ,
    Nanyun Peng
    ,
    Yejin Choi
    , Thomas L. Griffiths,
    Faeze Brahman
  19. Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract)
    AAAI 2024 ·
    Ruiqi He
    ,
    Carlos G. Correa
    , Tom Griffiths,
    Mark K. Ho
  20. Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
    NeurIPS 2024 ·
    Declan Campbell
    ,
    Sunayana Rane
    ,
    Tyler Giallanza
    ,
    Nicolò De Sabbata
    ,
    Kia Ghods
    ,
    Amogh Joshi
    ,
    Alexander Ku
    ,
    Steven Frankland
    , Tom Griffiths,
    Jonathan D. Cohen
    ,
    Taylor W. Webb