[PDF][PDF] A systematic survey of prompt engineering in large language models: Techniques and applications

P Sahoo, AK Singh, S Saha, V Jain… - arxiv preprint arxiv …, 2024 - rotmandigital.ca
Prompt engineering has emerged as an indispensable technique for extending the
capabilities of large language models (LLMs) and vision-language models (VLMs). This …

Unleashing the potential of prompt engineering in large language models: a comprehensive review

B Chen, Z Zhang, N Langrené, S Zhu - arxiv preprint arxiv:2310.14735, 2023 - arxiv.org
This comprehensive review delves into the pivotal role of prompt engineering in unleashing
the capabilities of Large Language Models (LLMs). The development of Artificial Intelligence …

Critic: Large language models can self-correct with tool-interactive critiquing

Z Gou, Z Shao, Y Gong, Y Shen, Y Yang… - arxiv preprint arxiv …, 2023 - arxiv.org
Recent developments in large language models (LLMs) have been impressive. However,
these models sometimes show inconsistencies and problematic behavior, such as …

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 …

Retrieval-augmented generation for ai-generated content: A survey

P Zhao, H Zhang, Q Yu, Z Wang, Y Geng, F Fu… - arxiv preprint arxiv …, 2024 - arxiv.org
The development of Artificial Intelligence Generated Content (AIGC) has been facilitated by
advancements in model algorithms, scalable foundation model architectures, and the …

Reasoning with language model prompting: A survey

S Qiao, Y Ou, N Zhang, X Chen, Y Yao, S Deng… - arxiv preprint arxiv …, 2022 - arxiv.org
Reasoning, as an essential ability for complex problem-solving, can provide back-end
support for various real-world applications, such as medical diagnosis, negotiation, etc. This …

[PDF][PDF] Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023 - researchgate.net
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Progressive-hint prompting improves reasoning in large language models

C Zheng, Z Liu, E **e, Z Li, Y Li - arxiv preprint arxiv:2304.09797, 2023 - arxiv.org
The performance of Large Language Models (LLMs) in reasoning tasks depends heavily on
prompt design, with Chain-of-Thought (CoT) and self-consistency being critical methods that …

Can llms generate novel research ideas? a large-scale human study with 100+ nlp researchers

C Si, D Yang, T Hashimoto - arxiv preprint arxiv:2409.04109, 2024 - arxiv.org
Recent advancements in large language models (LLMs) have sparked optimism about their
potential to accelerate scientific discovery, with a growing number of works proposing …

Beyond efficiency: A systematic survey of resource-efficient large language models

G Bai, Z Chai, C Ling, S Wang, J Lu, N Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
The burgeoning field of Large Language Models (LLMs), exemplified by sophisticated
models like OpenAI's ChatGPT, represents a significant advancement in artificial …