YangLinyi / GLUE-X

We leverage 14 datasets as OOD test data and conduct evaluations on 8 NLU tasks over 21 popularly used models. Our findings confirm that the OOD accuracy in NLP tasks needs to be paid more attention to since the significant performance decay compared to ID accuracy has been found in all settings.

Date Created 2022-11-19 (2 years ago)

Commits 13 (last one about a year ago)

Stargazers 117 (0 this week)

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YangLinyi/GLUE-X is also tagged with popular topics, for these it's ranked: nlp (#1,328/2415), natural-language-processing (#781/1418), benchmark (#394/764), bert (#336/557)

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Homepage URL: http://gluexbenchmark.com/

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nlp ood bert benchmark natural-language-processing

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updated: 2024-10-11 @ 12:30pm, id: 568114950 / R_kgDOIdy_Bg