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LLMs can shift their representation of truth based on partner assertions, revealing a nuanced form of sycophancy that challenges our understanding of model reliability.
Forget single-shot QA: this paper introduces a new task of generating follow-up insights that extend and improve initial answers, enabling richer, more iterative user interactions.
