14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon

KM Jablonka, Q Ai, A Al-Feghali, S Badhwar… - Digital …, 2023 - pubs.rsc.org
Large-language models (LLMs) such as GPT-4 caught the interest of many scientists.
Recent studies suggested that these models could be useful in chemistry and materials …

[HTML][HTML] A survey of GPT-3 family large language models including ChatGPT and GPT-4

KS Kalyan - Natural Language Processing Journal, 2023 - Elsevier
Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

[HTML][HTML] Differentiating ChatGPT-generated and human-written medical texts: quantitative study

W Liao, Z Liu, H Dai, S Xu, Z Wu, Y Zhang… - JMIR Medical …, 2023 - mededu.jmir.org
Background: Large language models, such as ChatGPT, are capable of generating
grammatically perfect and human-like text content, and a large number of ChatGPT …

Self-consuming generative models go mad

S Alemohammad, J Casco-Rodriguez, L Luzi… - arXiv preprint arXiv …, 2023 - arxiv.org
Seismic advances in generative AI algorithms for imagery, text, and other data types has led
to the temptation to use synthetic data to train next-generation models. Repeating this …

An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

C Ma, Z Wu, J Wang, S Xu, Y Wei, Z Liu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The “Impression” section of a radiology report is a critical basis for communication between
radiologists and other physicians. Typically written by radiologists, this part is derived from …

Llm-rec: Personalized recommendation via prompting large language models

H Lyu, S Jiang, H Zeng, Y Xia, J Luo - arXiv preprint arXiv:2307.15780, 2023 - arxiv.org
We investigate various prompting strategies for enhancing personalized recommendation
performance with large language models (LLMs) through input augmentation. Our proposed …

Once: Boosting content-based recommendation with both open-and closed-source large language models

Q Liu, N Chen, T Sakai, XM Wu - … Conference on Web Search and Data …, 2024 - dl.acm.org
Personalized content-based recommender systems have become indispensable tools for
users to navigate through the vast amount of content available on platforms like daily news …

Large language models for robotics: Opportunities, challenges, and perspectives

J Wang, Z Wu, Y Li, H Jiang, P Shu, E Shi, H Hu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have undergone significant expansion and have been
increasingly integrated across various domains. Notably, in the realm of robot task planning …

Understanding llms: A comprehensive overview from training to inference

Y Liu, H He, T Han, X Zhang, M Liu, J Tian… - arXiv preprint arXiv …, 2024 - arxiv.org
The introduction of ChatGPT has led to a significant increase in the utilization of Large
Language Models (LLMs) for addressing downstream tasks. There's an increasing focus on …

Harnessing llms in curricular design: Using gpt-4 to support authoring of learning objectives

P Sridhar, A Doyle, A Agarwal, C Bogart… - arXiv preprint arXiv …, 2023 - arxiv.org
We evaluated the capability of a generative pre-trained transformer (GPT-4) to automatically
generate high-quality learning objectives (LOs) in the context of a practically oriented …