2025
Measuring Sycophancy of Language Models in Multi-turn Dialogues
EMNLP 2025
Large Language Models (LLMs) are expected to provide helpful and harmless responses, yet they often exhibit sycophancy —conforming to user beliefs regardless of factual accuracy or ethical soundness. Prior research on sycophancy has primarily focused on single-turn factual correctness, overlooking t