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• Tree of Thoughts: Deliberate Problem Solving with Large Language Models
  2023 · 104 citations
• Deciphering The Factors Influencing The Efficacy Of Chain-of-thought: Probability, Memorization, And Noisy Reasoning
  2024 · 36 citations
• Language Models Trained To Do Arithmetic Predict Human Risky And Intertemporal Choice
  2024 · 10 citations
• Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents
  2026
• Post-training makes large language models less human-like
  2026
• Serendipity by Design: Evaluating the Impact of Cross-domain Mappings on Human and LLM Creativity
  2026
• Large Language Models Develop Novel Social Biases Through Adaptive Exploration
  2025
• Cognitive Foundations for Reasoning and Their Manifestation in LLMs
  2025
• Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
  2025
• Localized Cultural Knowledge is Conserved and Controllable in Large Language Models
  2025
• Rational Metareasoning for Large Language Models
  2024
• Large Language Models Assume People are More Rational than We Really are
  2024
• Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
  2024