26 citations · 28 across the 4 of their papers we have counts for
5 papers
Cheap Talk Stabilizes Strategic Interaction in LLM Agents
Nunzio Lorè, Hongan Zhu, Babak Heydari
Large language models are increasingly deployed as interacting agents, making the persistence of their action policies across repeated interaction critical for reliable multi-agent…
Communication Enhances LLMs' Stability in Strategic Thinking
Nunzio Lore, Babak Heydari
Large Language Models (LLMs) often exhibit pronounced context-dependent variability that undermines predictable multi-agent behavior in tasks requiring strategic thinking. Focusing…
Integrated Design and Governance of Agentic AI Systems through Adaptive Information Modulation
Qiliang Chen, Sepehr Ilami, Nunzio Lore +1
Modern engineered systems increasingly involve complex sociotechnical environments where multiple agents, including humans and the emerging paradigm of agentic AI powered by large…
Large Model Strategic Thinking, Small Model Efficiency: Transferring Theory of Mind in Large Language Models
Nunzio Lore, Sepehr Ilami, Babak Heydari
As the performance of larger, newer Large Language Models continues to improve for strategic Theory of Mind (ToM) tasks, the demand for these state-of-the-art models increases comm…
Strategic Behavior of Large Language Models: Game Structure vs. Contextual Framing
Nunzio Lorè, Babak Heydari
This paper investigates the strategic decision-making capabilities of three Large Language Models (LLMs): GPT-3.5, GPT-4, and LLaMa-2, within the framework of game theory. Utilizin…