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Rethinking machine unlearning for large language models
We explore machine unlearning in the domain of large language models (LLMs), referred to
as LLM unlearning. This initiative aims to eliminate undesirable data influence (for example …
as LLM unlearning. This initiative aims to eliminate undesirable data influence (for example …
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 …
Can llm-generated misinformation be detected?
The advent of Large Language Models (LLMs) has made a transformative impact. However,
the potential that LLMs such as ChatGPT can be exploited to generate misinformation has …
the potential that LLMs such as ChatGPT can be exploited to generate misinformation has …
Survey of vulnerabilities in large language models revealed by adversarial attacks
Large Language Models (LLMs) are swiftly advancing in architecture and capability, and as
they integrate more deeply into complex systems, the urgency to scrutinize their security …
they integrate more deeply into complex systems, the urgency to scrutinize their security …
Lmsys-chat-1m: A large-scale real-world llm conversation dataset
Studying how people interact with large language models (LLMs) in real-world scenarios is
increasingly important due to their widespread use in various applications. In this paper, we …
increasingly important due to their widespread use in various applications. In this paper, we …
Raising the Bar of AI-generated Image Detection with CLIP
The aim of this work is to explore the potential of pre-trained vision-language models (VLMs)
for universal detection of AI-generated images. We develop a lightweight detection strategy …
for universal detection of AI-generated images. We develop a lightweight detection strategy …
Soft prompt threats: Attacking safety alignment and unlearning in open-source llms through the embedding space
Current research in adversarial robustness of LLMs focuses on\textit {discrete} input
manipulations in the natural language space, which can be directly transferred to\textit …
manipulations in the natural language space, which can be directly transferred to\textit …
Removing rlhf protections in gpt-4 via fine-tuning
As large language models (LLMs) have increased in their capabilities, so does their
potential for dual use. To reduce harmful outputs, produces and vendors of LLMs have used …
potential for dual use. To reduce harmful outputs, produces and vendors of LLMs have used …
Generative Artificial Intelligence for Software Engineering--A Research Agenda
Generative Artificial Intelligence (GenAI) tools have become increasingly prevalent in
software development, offering assistance to various managerial and technical project …
software development, offering assistance to various managerial and technical project …
Knowledge conflicts for llms: A survey
This survey provides an in-depth analysis of knowledge conflicts for large language models
(LLMs), highlighting the complex challenges they encounter when blending contextual and …
(LLMs), highlighting the complex challenges they encounter when blending contextual and …