作者位次 #4/8ACL 2026Findings· Findings of ACL
P rompt- R 1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning
Wenjin Liu · Haoran Luo · Xueyuan Lin · Haoming Liu · Tiesunlong Shen · Jiapu Wang · Rui Mao · Erik Cambria
摘要
Recently, various excellent and powerful large language models (LLMs) have been utilized to solve a wide range of human problems. However, when faced with complex problems, most users are often unable to provide accurate and effective prompts to interact with LLMs, thus limiting their performance...