Athul Paul Jacob, Massachusetts Institute of Technology

Abstract

While current language models have shown impressive performance in tasks involving generation, factual assertions and verification, they still exhibit notable limitations such as struggling with domains requiring strategic reasoning. On the other hand, AI has demonstrated superhuman gameplay in strategic domains like chess, Go, and poker. However, these successes have been largely confined to two-player or competitive games without language use.

In this talk, I will delve into our work on utilizing language models and game theory for building strategic AI agents for Diplomacy - a 7-player board game featuring both cooperative and competitive elements and where natural language communication between players plays a vital role. Finally, I will briefly highlight some of our recent and upcoming work leveraging these insights for building better models of human behavior, human language use and for improving language models.

[Video]