Summary of Beyond Natural Language: Llms Leveraging Alternative Formats For Enhanced Reasoning and Communication, by Weize Chen et al.
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication
by Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun
First submitted to arxiv on: 28 Feb 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 This paper challenges the conventional use of natural language (NL) as the optimal format for Large Language Models (LLMs). The authors explore the utility of non-NL formats, such as code and logical expressions, in single-LLM reasoning and multi-agent communication. They demonstrate that allowing LLMs to autonomously select the most suitable format can improve reasoning efficiency by 3.3-5.7% and reduce token usage in multi-agent communication by up to 72.7%, while maintaining communicative effectiveness. The study also reveals that LLMs can devise a format from limited task instructions and transfer it across different LLMs. Notably, the devised format exhibits parallels with established agent communication languages, suggesting an evolution towards efficient, structured communication. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how we use language to communicate with each other, and whether there are better ways to do this. Right now, most large language models (LLMs) use natural language, like words and sentences, to understand and generate text. But what if they used different formats, like code or logical expressions? The authors of this paper wanted to find out if using these non-NL formats could help LLMs work more efficiently. They found that when LLMs are allowed to choose the best format for a task, they can reason better and communicate more effectively. This is important because it shows that LLMs might be able to adapt to different situations and improve their communication skills. |
Keywords
» Artificial intelligence » Token
