Challenges and applications of large language models

J Kaddour, J Harris, M Mozes, H Bradley… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

Survey of hallucination in natural language generation

Z Ji, N Lee, R Frieske, T Yu, D Su, Y Xu, E Ishii… - ACM Computing …, 2023 - dl.acm.org
Natural Language Generation (NLG) has improved exponentially in recent years thanks to
the development of sequence-to-sequence deep learning technologies such as Transformer …

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 …

Minigpt-4: Enhancing vision-language understanding with advanced large language models

D Zhu, J Chen, X Shen, X Li, M Elhoseiny - arXiv preprint arXiv …, 2023 - arxiv.org
The recent GPT-4 has demonstrated extraordinary multi-modal abilities, such as directly
generating websites from handwritten text and identifying humorous elements within …

ChatGPT and other large language models are double-edged swords

Y Shen, L Heacock, J Elias, KD Hentel, B Reig, G Shih… - Radiology, 2023 - pubs.rsna.org
rules integrated into its technology. Additionally, users must carefully craft questions or
prompts, providing specific information about a clinical scenario and potential …

Evaluating object hallucination in large vision-language models

Y Li, Y Du, K Zhou, J Wang, WX Zhao… - arXiv preprint arXiv …, 2023 - arxiv.org
Inspired by the superior language abilities of large language models (LLM), large vision-
language models (LVLM) have been recently explored by integrating powerful LLMs for …

Minigpt-v2: large language model as a unified interface for vision-language multi-task learning

J Chen, D Zhu, X Shen, X Li, Z Liu, P Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models have shown their remarkable capabilities as a general interface for
various language-related applications. Motivated by this, we target to build a unified …

Performance of ChatGPT on a radiology board-style examination: insights into current strengths and limitations

R Bhayana, S Krishna, RR Bleakney - Radiology, 2023 - pubs.rsna.org
Background ChatGPT is a powerful artificial intelligence large language model with great
potential as a tool in medical practice and education, but its performance in radiology …

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 …

How language model hallucinations can snowball

M Zhang, O Press, W Merrill, A Liu, NA Smith - arXiv preprint arXiv …, 2023 - arxiv.org
A major risk of using language models in practical applications is their tendency to
hallucinate incorrect statements. Hallucinations are often attributed to knowledge gaps in …