10 citations · 12 across the 9 of their papers we have counts for
5 papers · 1 filter
Proactive Defense: Compound AI for Detecting Persuasion Attacks and Measuring Inoculation Effectiveness
Svitlana Volkova, Will Dupree, Hsien-Te Kao +4
This paper introduces BRIES, a novel compound AI architecture designed to detect and measure the effectiveness of persuasion attacks across information environments. We present a s…
Building Resilient Information Ecosystems: Large LLM-Generated Dataset of Persuasion Attacks
Hsien-Te Kao, Aleksey Panasyuk, Peter Bautista +5
Organization's communication is essential for public trust, but the rise of generative AI models has introduced significant challenges by generating persuasive content that can for…
Cross-Disciplinary Knowledge Retrieval and Synthesis: A Compound AI Architecture for Scientific Discovery
Svitlana Volkova, Peter Bautista, Avinash Hiriyanna +6
The exponential growth of scientific knowledge has created significant barriers to cross-disciplinary knowledge discovery, synthesis and research collaboration. In response to this…
Exploring Big Five Personality and AI Capability Effects in LLM-Simulated Negotiation Dialogues
Myke C. Cohen, Zhe Su, Hsien-Te Kao +4
This paper presents an evaluation framework for agentic AI systems in mission-critical negotiation contexts, addressing the need for AI agents that can adapt to diverse human opera…
SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation
Xuhui Zhou, Zhe Su, Sophie Feng +9
Social simulation through large language model (LLM) agents is a promising approach to explore and validate hypotheses related to social science questions and LLM agents behavior.…