Artificial Intelligence

    

Enhancing LLM Reasoning Abilities with Code

Authors: Fei Ding

Large Language Models (LLMs) have shown exceptional generative abilities in various natural language and generation tasks.Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing the need for extensive feature engineering. However, LLM is relatively weaker in reasoning and problem-solving abilities.We propose a new construction that solves the problem of insufficient logical mathematics and logical ability.

Comments: 5 Pages.

Download: PDF

Submission history

[v1] 2024-07-11 20:23:57

Unique-IP document downloads: 310 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus