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

KS Kalyan - Natural Language Processing Journal, 2024 - 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 …

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 …

Red-Teaming for generative AI: Silver bullet or security theater?

M Feffer, A Sinha, WH Deng, ZC Lipton… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
In response to rising concerns surrounding the safety, security, and trustworthiness of
Generative AI (GenAI) models, practitioners and regulators alike have pointed to AI red …

A survey on llm-gernerated text detection: Necessity, methods, and future directions

J Wu, S Yang, R Zhan, Y Yuan, DF Wong… - arxiv preprint arxiv …, 2023 - arxiv.org
The powerful ability to understand, follow, and generate complex language emerging from
large language models (LLMs) makes LLM-generated text flood many areas of our daily …

Monitoring ai-modified content at scale: A case study on the impact of chatgpt on ai conference peer reviews

W Liang, Z Izzo, Y Zhang, H Lepp, H Cao… - arxiv preprint arxiv …, 2024 - arxiv.org
We present an approach for estimating the fraction of text in a large corpus which is likely to
be substantially modified or produced by a large language model (LLM). Our maximum …

A survey on detection of llms-generated content

X Yang, L Pan, X Zhao, H Chen, L Petzold… - arxiv preprint arxiv …, 2023 - arxiv.org
The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT
have led to an increase in synthetic content generation with implications across a variety of …

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

YL Tsai, CY Hsu, C **e, CH Lin, JY Chen, B Li… - arxiv preprint arxiv …, 2023 - arxiv.org
Diffusion models for text-to-image (T2I) synthesis, such as Stable Diffusion (SD), have
recently demonstrated exceptional capabilities for generating high-quality content. However …

Authorship attribution in the era of llms: Problems, methodologies, and challenges

B Huang, C Chen, K Shu - ACM SIGKDD Explorations Newsletter, 2025 - dl.acm.org
Accurate attribution of authorship is crucial for maintaining the integrity of digital content,
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …

International Scientific Report on the Safety of Advanced AI (Interim Report)

Y Bengio, S Mindermann, D Privitera… - arxiv preprint arxiv …, 2024 - arxiv.org
This is the interim publication of the first International Scientific Report on the Safety of
Advanced AI. The report synthesises the scientific understanding of general-purpose AI--AI …

Prompting4debugging: Red-teaming text-to-image diffusion models by finding problematic prompts

ZY Chin, CM Jiang, CC Huang, PY Chen… - arxiv preprint arxiv …, 2023 - arxiv.org
Text-to-image diffusion models, eg Stable Diffusion (SD), lately have shown remarkable
ability in high-quality content generation, and become one of the representatives for the …