5 papers
A closer look at how large language models trust humans: patterns and biases
Valeria Lerman, Yaniv Dover
As large language models (LLMs) and LLM-based agents increasingly interact with humans in decision-making contexts, understanding the trust dynamics between humans and AI agents be…
Confident-Knowledge Diversity Drives Human-Human and Human-AI Free Discussion Synergy and Reveals Pure-AI Discussion Shortfalls
Tom Sheffer, Alon Miron, Asael Sklar +2
Conversations transform individual knowledge into collective insight, enabling collaborators to solve problems more accurately than they could alone. Whether dialogues among large…
Can (A)I Change Your Mind?
Miriam Havin, Timna Wharton Kleinman, Moran Koren +2
The increasing integration of large language models (LLMs) based conversational agents into everyday life raises critical cognitive and social questions about their potential to in…
Tell me who its founders are and I'll tell you what your online community looks like: Online community founders' personality and community attributes
Yaniv Dover, Shaul Oreg
Online communities are an increasingly important stakeholder for firms, and despite the growing body of research on them, much remains to be learned about them and about the factor…
Systematic Biases in LLM Simulations of Debates
Amir Taubenfeld, Yaniv Dover, Roi Reichart +1
The emergence of Large Language Models (LLMs), has opened exciting possibilities for constructing computational simulations designed to replicate human behavior accurately. Current…