A Workbench for Autograding Retrieve/Generate Systems
Author:
Affiliation:
1. University of New Hampshire, Durham, NH, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626772.3657871
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4. Nick Craswell, Bhaskar Mitra, Emine Yilmaz, and Daniel Campos. 2021. Overview of the TREC 2020 deep learning track. arXiv preprint arXiv:2102.07662 (2021).
5. Daniel Deutsch, Tania Bedrax-Weiss, and Dan Roth. 2020. Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary. arXiv preprint arXiv:2010.00490 (2020).
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1. Pencils Down! Automatic Rubric-based Evaluation of Retrieve/Generate Systems;Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval;2024-08-02
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