Learning Answer Generation using Supervision from Automatic Question Answering Evaluators (2023.acl-long)
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| Challenge: | Recent studies show sentence-level extractive QA is outperformed by Generation-based QA (GenQA) models. |
| Approach: | They propose a training paradigm for GenQA using automatic QA evaluation models . they augment training data with answers generated by the GenQA model and labelled by GAVA . |
| Outcome: | The proposed training paradigm improves answering accuracy over existing models. |
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