Improving Model Evaluation using SMART Filtering of Benchmark Datasets
Open Access
- 1 January 2025
- conference paper
- Published by Association for Computational Linguistics (ACL)
- p. 4595-4615
Abstract
Vipul Gupta, Candace Ross, David Pantoja, Rebecca J. Passonneau, Megan Ung, Adina Williams. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2025.Keywords
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This publication has 38 references indexed in Scilit:
- Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics, 2023
- Mapping global dynamics of benchmark creation and saturation in artificial intelligenceNature Communications, 2022
- A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in ClassificationIEEE Access, 2021
- DynaSent: A Dynamic Benchmark for Sentiment Analysis2021
- Automatic Detection of Machine Generated Text: A Critical Survey2020
- What do we expect from Multiple-choice QA Systems?2020
- Do We Need to Create Big Datasets to Learn a Task?2020
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics2020
- Adversarial NLI: A New Benchmark for Natural Language Understanding2020
- A NEW MEASURE OF RANK CORRELATIONBiometrika, 1938