Improving Multiparty Interactions with a Robot Using Large Language Models-Reference-Cited by-同舟云学术

Improving Multiparty Interactions with a Robot Using Large Language Models

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Murali Prasanth¹^ORCID,Steenstra Ian²^ORCID,Yun Hye Sun³^ORCID,Shamekhi Ameneh⁴^ORCID,Bickmore Timothy¹^ORCID

Affiliation:

1. Northeastern University, United States

2. Relational Agents Group, Northeastern University, United States

3. Khoury College of Computer Sciences, Northeastern University, United States

4. Nuance Inc., Microsoft, United States

Funder

National Cancer Institute

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544549.3585602

Reference77 articles.

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4. Relational agents

5. Yonatan Bisk , Ari Holtzman , Jesse Thomason , Jacob Andreas , Yoshua Bengio , Joyce Chai , Mirella Lapata , Angeliki Lazaridou , Jonathan May , Aleksandr Nisnevich , 2020. Experience grounds language. arXiv preprint arXiv:2004.10151 ( 2020 ). Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, 2020. Experience grounds language. arXiv preprint arXiv:2004.10151 (2020).

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