most citedCross-Disciplinary Knowledge Retrieval and Synthesis: A Compound AI Architecture for Scientific Discovery

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2025★ 1 cited

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…

cs.HC2025

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…

cs.HC2025

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…

cs.AI2025★ 1 cited

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…

cs.CY2025

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.…

cs.HC2024

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…

cs.SI2024

Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War

Patrick Gerard, Svitlana Volkova, Louis Penafiel +2

Following the Russian Federation's full-scale invasion of Ukraine in February 2022, a multitude of information narratives emerged within both pro-Russian and pro-Ukrainian communit…

cs.CL2024

Towards Safer Online Spaces: Simulating and Assessing Intervention Strategies for Eating Disorder Discussions

Louis Penafiel, Hsien-Te Kao, Isabel Erickson +4

Eating disorders are complex mental health conditions that affect millions of people around the world. Effective interventions on social media platforms are crucial, yet testing st…