[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 …
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …
Combating misinformation in the age of llms: Opportunities and challenges
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 …
and public trust. The emergence of large language models (LLMs) has great potential to …
Red-Teaming for generative AI: Silver bullet or security theater?
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 …
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
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 …
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
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 …
be substantially modified or produced by a large language model (LLM). Our maximum …
A survey on detection of llms-generated content
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 …
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?
Diffusion models for text-to-image (T2I) synthesis, such as Stable Diffusion (SD), have
recently demonstrated exceptional capabilities for generating high-quality content. However …
recently demonstrated exceptional capabilities for generating high-quality content. However …
Authorship attribution in the era of llms: Problems, methodologies, and challenges
Accurate attribution of authorship is crucial for maintaining the integrity of digital content,
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …
International Scientific Report on the Safety of Advanced AI (Interim Report)
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 …
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
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 …
ability in high-quality content generation, and become one of the representatives for the …