Summary of Embedding Self-correction As An Inherent Ability in Large Language Models For Enhanced Mathematical Reasoning, by Kuofeng Gao et al.
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning
by Kuofeng Gao, Huanqia Cai, Qingyao Shuai, Dihong Gong, Zhifeng Li
First submitted to arxiv on: 14 Oct 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 A novel mechanism called the Chain of Self-Correction (CoSC) is introduced to embed self-correction capabilities within Large Language Models (LLMs), enabling them to validate and rectify their own results. The CoSC mechanism involves a sequence of self-correction stages, where LLMs generate and execute programs to address problems, verifying outputs and refining reasoning steps until accurate results are obtained. A two-phase fine-tuning approach is used to implement CoSC, first training on seeding data generated from GPT-4, then enhancing with larger volumes of self-generated data. Experiments demonstrate that CoSC significantly improves performance on mathematical datasets compared to existing LLMs, achieving a 53.5% score on the MATH dataset. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language Models (LLMs) are super smart computers that can do many things, but they sometimes make mistakes when doing math problems. To help them get better at math, researchers came up with a new idea called Chain of Self-Correction (CoSC). CoSC lets the LLMs check their own work and fix mistakes as they go along. This helps them get more accurate answers to math questions. The scientists tested CoSC on some special math problems and found that it worked really well, even better than other computer programs designed for math. |
Keywords
» Artificial intelligence » Fine tuning » Gpt
