Prompt reinforcing for long-term planning of large language models

In three linesPrompt optimization framework inspired by reinforcement learning to improve long-term planning in LLM multi-turn interactions. Method modifies only task instruction via turn-by-turn feedback and experience replay. Significant improvements on text-to-SQL and task-oriented dialogue, generalizes across LLM agents.

Summary generated by Claude — human-verified