Autor:	Sharf, Jacob, Gul, Mustafa Omer, Artzi, Yoav
Rok vydání:	2023
Předmět:	Computer Science - Machine Learning Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Multiagent Systems
Druh dokumentu:	Working Paper
Popis:	CB2 is a multi-agent platform to study collaborative natural language interaction in a grounded task-oriented scenario. It includes a 3D game environment, a backend server designed to serve trained models to human agents, and various tools and processes to enable scalable studies. We deploy CB2 at https://cb2.ai as a system demonstration with a learned instruction following model. Comment: ACL 2023 Demo paper
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2303.08127 Zobrazit plný text záznamu View this record from Arxiv