A comprehensive overview of large language models

H Naveed, AU Khan, S Qiu, M Saqib, S Anwar… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

A survey of deep learning for mathematical reasoning

P Lu, L Qiu, W Yu, S Welleck, KW Chang - arxiv preprint arxiv:2212.10535, 2022 - arxiv.org
Mathematical reasoning is a fundamental aspect of human intelligence and is applicable in
various fields, including science, engineering, finance, and everyday life. The development …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arxiv preprint arxiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

Is ChatGPT a general-purpose natural language processing task solver?

C Qin, A Zhang, Z Zhang, J Chen, M Yasunaga… - arxiv preprint arxiv …, 2023 - arxiv.org
Spurred by advancements in scale, large language models (LLMs) have demonstrated the
ability to perform a variety of natural language processing (NLP) tasks zero-shot--ie, without …

Language models can solve computer tasks

G Kim, P Baldi, S McAleer - Advances in Neural Information …, 2023 - proceedings.neurips.cc
Agents capable of carrying out general tasks on a computer can improve efficiency and
productivity by automating repetitive tasks and assisting in complex problem-solving. Ideally …

Zhong**g: Enhancing the chinese medical capabilities of large language model through expert feedback and real-world multi-turn dialogue

S Yang, H Zhao, S Zhu, G Zhou, H Xu, Y Jia… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Abstract Recent advances in Large Language Models (LLMs) have achieved remarkable
breakthroughs in understanding and responding to user intents. However, their performance …

Towards reasoning in large language models: A survey

J Huang, KCC Chang - arxiv preprint arxiv:2212.10403, 2022 - arxiv.org
Reasoning is a fundamental aspect of human intelligence that plays a crucial role in
activities such as problem solving, decision making, and critical thinking. In recent years …

Large language models are human-level prompt engineers

Y Zhou, AI Muresanu, Z Han, K Paster, S Pitis… - arxiv preprint arxiv …, 2022 - arxiv.org
By conditioning on natural language instructions, large language models (LLMs) have
displayed impressive capabilities as general-purpose computers. However, task …

Encouraging divergent thinking in large language models through multi-agent debate

T Liang, Z He, W Jiao, X Wang, Y Wang… - arxiv preprint arxiv …, 2023 - arxiv.org
Modern large language models (LLMs) like ChatGPT have shown remarkable performance
on general language tasks but still struggle on complex reasoning tasks, which drives the …

Program of thoughts prompting: Disentangling computation from reasoning for numerical reasoning tasks

W Chen, X Ma, X Wang, WW Cohen - arxiv preprint arxiv:2211.12588, 2022 - arxiv.org
Recently, there has been significant progress in teaching language models to perform step-
by-step reasoning to solve complex numerical reasoning tasks. Chain-of-thoughts prompting …