Abstract
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.- Anthology ID:
- 2023.acl-demo.39
- Volume:
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Danushka Bollegala, Ruihong Huang, Alan Ritter
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 412–420
- Language:
- URL:
- https://aclanthology.org/2023.acl-demo.39
- DOI:
- 10.18653/v1/2023.acl-demo.39
- Award:
- Demo Track: Outstanding Paper Award
- Cite (ACL):
- Jacob Sharf, Mustafa Omer Gul, and Yoav Artzi. 2023. CB2: Collaborative Natural Language Interaction Research Platform. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 412–420, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- CB2: Collaborative Natural Language Interaction Research Platform (Sharf et al., ACL 2023)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2023.acl-demo.39.pdf