Under Review
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The Feynman Trap: When Chain-of-Thought Reasoning Undermines Correct Intuitions in Language Models
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We systematically quantify a phenomenon where LLMs flip correct zero-shot answers to incorrect ones when prompted to reason step-by-step, and characterize when this cost outweighs the benefit across models and task domains.
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Dynamic guessing for Hamiltonian Monte Carlo with embedded numerical root-finding
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A new algorithm and Python package for a class of difficult Bayesian statistical models
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TMLR Beyond PDF Example Submission
submission
This is an example submission for TMLR Beyond PDF.