Affective Context Amplifies Sycophancy in LLM Responses
As conversational companions, large language models (LLMs) often have access to users'emotional states. We study how this affective context modulates LLM sycophancy in subjective, evaluative interactions, where users share actions or opinions that invite feedback. Drawing on ingratiation theory, we measure sycophancy a...