Summary of Automanual: Constructing Instruction Manuals by Llm Agents Via Interactive Environmental Learning, By Minghao Chen et al.
AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning
by Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He
First submitted to arxiv on: 25 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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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 In this paper, researchers introduce AutoManual, a framework for Large Language Models (LLMs) to autonomously learn and adapt to new environments. The framework consists of three agents: Planner, Builder, and Formulator. The Planner generates actionable plans based on current rules, while the Builder updates these rules through an online process, mitigating hallucinations with a case-conditioned prompting strategy. The Formulator compiles the rules into a comprehensive manual that can improve adaptability and guide planning for smaller LLMs. Using GPT-4-turbo and GPT-3.5-turbo models on ALFWorld benchmark tasks, AutoManual achieves significant task success rates of 97.4% and 86.2%, respectively, with only one simple demonstration. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps computers learn new things without needing people to teach them every step. The researchers created a special system that lets computers figure out how to do things on their own. This system has three parts: Planner, Builder, and Formulator. The Planner makes plans based on what the computer knows so far, while the Builder updates this knowledge to avoid making mistakes. The Formulator puts all the information together into a guide that helps smaller computers learn too. With just one example, the system can help computers get things right 97% of the time! |
Keywords
» Artificial intelligence » Gpt » Prompting
