Summary of Chatsop: An Sop-guided Mcts Planning Framework For Controllable Llm Dialogue Agents, by Zhigen Li et al.
ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents
by Zhigen Li, Jianxiang Peng, Yanmeng Wang, Yong Cao, Tianhao Shen, Minghui Zhang, Linxi Su, Shang Wu, Yihang Wu, Yuqian Wang, Ye Wang, Wei Hu, Jianfeng Li, Shaojun Wang, Jing Xiao, Deyi Xiong
First submitted to arxiv on: 4 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces Standard Operating Procedure (SOP) to regulate dialogue flow, addressing the controllability challenge in Large Language Models (LLMs)-powered dialogue agents. The proposed ChatSOP framework combines Monte Carlo Tree Search (MCTS) planning with SOP guidance for enhanced controllability. A dataset of SOP-annotated multi-scenario dialogues was curated using a semi-automated role-playing system with GPT-4o and validated through manual quality control. The paper also proposes integrating Chain of Thought reasoning with supervised fine-tuning for SOP prediction and utilizing SOP-guided MCTS for optimal action planning during dialogues. Experimental results show a 27.95% improvement in action accuracy compared to baseline models based on GPT-3.5, demonstrating the effectiveness of the proposed method. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about making conversations between humans and computers more controlled and focused. Right now, computer programs powered by Large Language Models (LLMs) can have great conversations, but sometimes they get stuck or go off-topic. The researchers propose a new way to help these programs stay on track called Standard Operating Procedure (SOP). They created a special dataset of conversations that follow specific rules, and developed a new method to make the conversations more controlled. This approach was tested and showed significant improvement in keeping conversations focused. |
Keywords
» Artificial intelligence » Fine tuning » Gpt » Supervised
