RUBICON: Rubric-Based Evaluation of Domain-Specific Human AI Conversations-Reference-Cited by-同舟云学术

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RUBICON: Rubric-Based Evaluation of Domain-Specific Human AI Conversations

Published:2024-07-10 Issue: Volume:61 Page:161-169
ISSN:
Container-title:Proceedings of the 1st ACM International Conference on AI-Powered Software
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Author:

Biyani Param¹^ORCID,Bajpai Yasharth¹^ORCID,Radhakrishna Arjun²^ORCID,Soares Gustavo²^ORCID,Gulwani Sumit²^ORCID

Affiliation:

1. Microsoft, Bengaluru, India

2. Microsoft, Redmond, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3664646.3664778

Reference36 articles.

1. Param Biyani Yasharth Bajpai Arjun Radhakrishna Gustavo Soares and Sumit Gulwani. 2024. Supplementary Material for RUBICON. https://aka.ms/rubicon-supplementary

2. Praveen Kumar Bodigutla Lazaros Polymenakos and Spyros Matsoukas. 2019. Multi-domain Conversation Quality Evaluation via User Satisfaction Estimation. arxiv:1911.08567.

3. Bhavya Chopra Yasharth Bajpai Param Biyani Gustavo Soares Arjun Radhakrishna Chris Parnin and Sumit Gulwani. 2024. Exploring Interaction Patterns for Debugging: Enhancing Conversational Capabilities of AI-assistants. https://api.semanticscholar.org/CorpusID:267617149

4. Ondřej Dušek Jekaterina Novikova and Verena Rieser. 2017. Referenceless Quality Estimation for Natural Language Generation. arxiv:1708.01759.

5. Wieland Eckert Esther Levin and R. Pieraccini. 1998. User modeling for spoken dialogue system evaluation. 80 - 87 pages. isbn:0-7803-3698-4 https://doi.org/10.1109/ASRU.1997.658991 10.1109/ASRU.1997.658991

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