Fetching the paper…

Reading the bibliography…

2023

ArthModel: Enhance Arithmetic Skills to Large Language Model

Guo, Yingdi

Original
PDF
Post on X

Understand

With the great success of ChatGPT, the research of large language models has become increasingly popular.

However, the models have several limitations, such as toxicity and pool performance of arithmetic solving.
Meanwhile, LLM may have some potential abilities that have yet to be exploited.
In this paper, we choose a different way to enhance the arithmetic ability of LLM.

ArthModel: Enhance Arithmetic Skills to Large Language Model · Around

Built on

Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
Earlier work this paper cites.
Wizardlm: Empowering large language models to follow complex instructions
Original
Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, and Daxin Jiang · 2023
Earlier work this paper cites.

Similar

Toolformer: Language models can teach themselves to use tools
Original
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
Cited alongside, same era.

Then

Pal: Program-aided language models
Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, and Graham Neubig · 2023
Closest in time.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…