How Much Do You Trust A Dog? Quantifying Hint-Following in Reasoning Language Models
Large language models (LLMs) often exhibit sycophancy, altering their answers to align with user suggestions even on objective factual and reasoning tasks. Yet the quantitative form of this influence--- and whether it is calibrated to source reliability--- remains poorly understood. In this work, we investigate this be...
An-Xin Guo, Chirag Pabbaraju, Sara Ahmadian et al.
· 0 citations