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 …

[HTML][HTML] Empowering biomedical discovery with AI agents

S Gao, A Fang, Y Huang, V Giunchiglia, A Noori… - Cell, 2024 - cell.com
We envision" AI scientists" as systems capable of skeptical learning and reasoning that
empower biomedical research through collaborative agents that integrate AI models and …

Rethinking machine unlearning for large language models

S Liu, Y Yao, J Jia, S Casper, N Baracaldo… - arxiv preprint arxiv …, 2024 - arxiv.org
We explore machine unlearning (MU) in the domain of large language models (LLMs),
referred to as LLM unlearning. This initiative aims to eliminate undesirable data influence …

Activation addition: Steering language models without optimization

AM Turner, L Thiergart, G Leech, D Udell… - arxiv e …, 2023 - ui.adsabs.harvard.edu
Reliably controlling the behavior of large language models is a pressing open problem.
Existing methods include supervised finetuning, reinforcement learning from human …