What is recorded here?
Used video-caption contexts and language-model-generated alternatives, iteratively filtering easy negatives with stylistic classifiers and validating choices to build grounded next-event questions.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Filtering is relative to the selected classifier family and candidate-generation process, not universal removal of bias. The contribution is the original SWAG resource and filtering procedure, distinct from the already catalogued HellaSwag successor.
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People and systems
Rowan Zellers; Yonatan Bisk; Roy Schwartz; Yejin Choi
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
SWAG: adversarially filtered grounded event completion
Used video-caption contexts and language-model-generated alternatives, iteratively filtering easy negatives with stylistic classifiers and validating choices to build grounded next-event questions.
Scientific scope
Filtering is relative to the selected classifier family and candidate-generation process, not universal removal of bias. The contribution is the original SWAG resource and filtering procedure, distinct from the already catalogued HellaSwag successor.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Rowan Zellers; Yonatan Bisk; Roy Schwartz; Yejin Choi
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.