Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap 事件

Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap arXiv:2605.24432v1 Announce Type: new Abstract: Large Language Model (LLM) interactions are typically underspecified, with users clarifying all necessary details across multiple conversational turns. Yet recent work shows that LLMs perform far worse in this multi-turn setting than in a single turn with same information being available at once, a phenomenon termed "Lost-in-Conversation." However, bridging this gap effective