Vikram Krishnamurthy

Mitigating LLM sycophancy with RL-based fine-tuning: Bayesian Truth Serum approach

Large language models (LLMs) frequently exhibit \emph{sycophancy}: they adapt their answers to a user's stated beliefs or preferences instead of reporting what they hold to be true, which lowers factual accuracy and can amplify misinformation. This paper proposes a methodology for mitigating sycophancy that employs the...