大语言模型-任务规划与分解论文

任务规划与分解

1、Chain-of-Thought Prompting Elicits Reasoning in Large Language Models https://arxiv.org/abs/2201.11903

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

2、Tree of Thoughts: Deliberate Problem Solving with Large Language Models https://arxiv.org/abs/2305.10601

3、Implicit Chain of Thought Reasoning via Knowledge Distillation https://arxiv.org/abs/2311.01460

4、ReAct: Synergizing Reasoning and Acting in Language Models https://arxiv.org/abs/2210.03629

5、ART: Automatic multi-step reasoning and tool-use for large language models https://arxiv.org/abs/2303.09014

ART

6、Branch-Solve-Merge Improves Large Language Model Evaluation and Generation https://arxiv.org/abs/2310.15123

7、WizardLM: Empowering Large Language Models to Follow Complex Instructions

https://arxiv.org/pdf/2304.1224

WizardLM: Empowering Large Language Models to Follow Complex Instructions 导读