When Alignment becomes Reinforcement: Linguistic Mechanisms of Epistemic Drift in Human-LLM Dialogue
Conversational large language models (LLMs) modify their answers based on the language and context that users provide. This modification enhances coherence and increases responsiveness. However, linguistic adaptation is not limited to form. In subsequent turns, a system might start to maintain the user's semantic frame...