AI RESEARCH
Under the Influence: Quantifying Persuasion and Vigilance in Large Language Models
arXiv CS.LG
•
ArXi:2602.21262v3 Announce Type: replace-cross With increasing integration of Large Language Models (LLMs) into areas of high-stakes human decision-making, it is important to understand the risks they