Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - AI Magazine, 2024 - Wiley Online Library
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

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

MU Hadi, Q Al Tashi, A Shah, R Qureshi… - Authorea …, 2024 - authorea.com
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 …

Trustllm: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

A survey of hallucination in large foundation models

V Rawte, A Sheth, A Das - arXiv preprint arXiv:2309.05922, 2023 - arxiv.org
Hallucination in a foundation model (FM) refers to the generation of content that strays from
factual reality or includes fabricated information. This survey paper provides an extensive …

[HTML][HTML] Position: TrustLLM: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu… - International …, 2024 - proceedings.mlr.press
Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …

Raven: In-context learning with retrieval augmented encoder-decoder language models

J Huang, W Ping, P Xu, M Shoeybi, KCC Chang… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we investigate the in-context learning ability of retrieval-augmented encoder-
decoder language models. We first conduct a comprehensive analysis of the state-of-the-art …

Large language models for education: A survey and outlook

S Wang, T Xu, H Li, C Zhang, J Liang, J Tang… - arXiv preprint arXiv …, 2024 - arxiv.org
The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …

Towards fine-grained citation evaluation in generated text: A comparative analysis of faithfulness metrics

W Zhang, M Aliannejadi, Y Yuan, J Pei… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) often produce unsupported or unverifiable content, known
as" hallucinations." To mitigate this, retrieval-augmented LLMs incorporate citations …

A survey of large language models attribution

D Li, Z Sun, X Hu, Z Liu, Z Chen, B Hu, A Wu… - arXiv preprint arXiv …, 2023 - arxiv.org
Open-domain generative systems have gained significant attention in the field of
conversational AI (eg, generative search engines). This paper presents a comprehensive …

Creativity support in the age of large language models: An empirical study involving emerging writers

T Chakrabarty, V Padmakumar, F Brahman… - arXiv preprint arXiv …, 2023 - arxiv.org
The development of large language models (LLMs) capable of following instructions and
engaging in conversational interactions sparked increased interest in their utilization across …