6 papers
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…
Simulating Teams with LLM Agents: Interactive 2D Environments for Studying Human-AI Dynamics
Mohammed Almutairi, Charles Chiang, Haoze Guo +9
Enabling users to create their own simulations offers a powerful way to study team dynamics and performance. We introduce VirTLab, a system that allows researchers and practitioner…
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…
VirtLab: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations
Mohammed Almutairi, Charles Chiang, Haoze Guo +9
Simulating how team members collaborate within complex environments using Agentic AI is a promising approach to explore hypotheses grounded in social science theories and study tea…
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.…
Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development
Daniel Nguyen, Myke C. Cohen, Hsien-Te Kao +4
As human-agent teaming (HAT) research continues to grow, computational methods for modeling HAT behaviors and measuring HAT effectiveness also continue to develop. One rising metho…