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 …
The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
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 …
The AI Risk Repository: A Comprehensive Meta-Review, Database, and Taxonomy of Risks From Artificial Intelligence
P Slattery, AK Saeri, EAC Grundy, J Graham… - arXiv preprint arXiv …, 2024 - arxiv.org
The risks posed by Artificial Intelligence (AI) are of considerable concern to academics,
auditors, policymakers, AI companies, and the public. However, a lack of shared …
auditors, policymakers, AI companies, and the public. However, a lack of shared …
WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models
WalledEval is a comprehensive AI safety testing toolkit designed to evaluate large language
models (LLMs). It accommodates a diverse range of models, including both open-weight …
models (LLMs). It accommodates a diverse range of models, including both open-weight …
Can Editing LLMs Inject Harm?
Knowledge editing techniques have been increasingly adopted to efficiently correct the false
or outdated knowledge in Large Language Models (LLMs), due to the high cost of retraining …
or outdated knowledge in Large Language Models (LLMs), due to the high cost of retraining …
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators
The rapid and wide-scale adoption of AI to generate human speech poses a range of
significant ethical and safety risks to society that need to be addressed. For example, a …
significant ethical and safety risks to society that need to be addressed. For example, a …
Eureka: Evaluating and Understanding Large Foundation Models
Rigorous and reproducible evaluation is critical for assessing the state of the art and for
guiding scientific advances in Artificial Intelligence. Evaluation is challenging in practice due …
guiding scientific advances in Artificial Intelligence. Evaluation is challenging in practice due …
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 …
Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models
Large Language Models (LLMs) have excelled at language understanding and generating
human-level text. However, even with supervised training and human alignment, these …
human-level text. However, even with supervised training and human alignment, these …