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cs.CL2025
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Jing Yang, Max Glockner, Anderson Rocha +1
Free-text explanations are expressive and easy to understand, but many datasets lack annotated explanation data, making it challenging to train models for explainable predictions.…
cs.CL2024
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generation
Jing Yang, Anderson Rocha
Computational methods to aid journalists in the task often require adapting a model to specific domains and generating explanations. However, most automated fact-checking methods r…