MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation 事件

MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation arXiv:2604.08782v3 Announce Type: replace Abstract: Large language models (LLMs) suffer significant performance degradation when user instructions and context are distributed over multiple conversational turns, yet multi-turn (MT) interactions dominate chat interfaces. The routine approach of appending full chat history to prompts rapidly exhausts context windows, leading to increased latency, higher computational costs, and diminis