Prompting frameworks for large language models: A survey

X Liu, J Wang, J Sun, X Yuan, G Dong, P Di… - arXiv preprint arXiv …, 2023 - arxiv.org
Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language
models (LLMs) have made significant advancements in both academia and industry …

[HTML][HTML] Benchmarking, ethical alignment, and evaluation framework for conversational AI: Advancing responsible development of ChatGPT

PP Ray - BenchCouncil Transactions on Benchmarks, Standards …, 2023 - Elsevier
Conversational AI systems like ChatGPT have seen remarkable advancements in recent
years, revolutionizing human–computer interactions. However, evaluating the performance …

The research landscape on generative artificial intelligence: a bibliometric analysis of transformer-based models

G Marchena Sekli - Kybernetes, 2024 - emerald.com
Purpose The aim of this study is to offer valuable insights to businesses and facilitate better
understanding on transformer-based models (TBMs), which are among the widely employed …

Cigar: Cost-efficient program repair with llms

D Hidvégi, K Etemadi, S Bobadilla… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLM) have proven to be effective at automated program repair
(APR). However, using LLMs can be highly costly, with companies invoicing users by the …

Smart agent-based modeling: On the use of large language models in computer simulations

Z Wu, R Peng, X Han, S Zheng, Y Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
Computer simulations offer a robust toolset for exploring complex systems across various
disciplines. A particularly impactful approach within this realm is Agent-Based Modeling …

Perceptions and realities of text-to-image generation

J Oppenlaender, J Silvennoinen, V Paananen… - Proceedings of the 26th …, 2023 - dl.acm.org
Generative artificial intelligence (AI) is a widely popular technology that will have a profound
impact on society and individuals. Less than a decade ago, it was thought that creative work …

Large Language Model Operations (LLMOps): Definition, Challenges, and Lifecycle Management

J Diaz-De-Arcaya, J López-De-Armentia… - … on Smart and …, 2024 - ieeexplore.ieee.org
Numerous studies explore the prospects presented by the recent upsurge of large language
models. The usage of LLMs in production environments poses challenges that highlight the …

Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference

K Shen, M Kejriwal - arXiv preprint arXiv:2408.01935, 2024 - arxiv.org
Despite their impressive performance, large language models (LLMs) such as ChatGPT are
known to pose important risks. One such set of risks arises from misplaced confidence …

Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Research

S Takagi - arXiv preprint arXiv:2312.03497, 2023 - arxiv.org
This paper engages in a speculative exploration of the concept of an artificial agent capable
of conducting research. Initially, it examines how the act of research can be conceptually …

Evaluating the Use of Large Language Model to Identify Top Research Priorities in Hematology

H Chen, F Huang, X Liu, Y Tan, D Zhang… - … Conference on E …, 2023 - ieeexplore.ieee.org
The field of hematology is highly progressive and dynamic requiring researchers to commit
significant amounts of time and effort towards staying abreast of the most crucial research …