Dataset Groups Activity Stream ICLEF: In-Context Learning with Expert Feedback for Explainable Style We build two explainable style transfer datasets by augmenting existing datasets with synthetic textual explanations generated by a teacher model. BibTex: @dataset{Arkadiy_Saakyan_and_Smaranda_Muresan_2024, abstract = {We build two explainable style transfer datasets by augmenting existing datasets with synthetic textual explanations generated by a teacher model.}, author = {Arkadiy Saakyan and Smaranda Muresan}, doi = {10.57702/9qo8mh62}, institution = {No Organization}, keyword = {'explainability', 'natural language generation', 'style transfer'}, month = {dec}, publisher = {TIB}, title = {ICLEF: In-Context Learning with Expert Feedback for Explainable Style}, url = {https://service.tib.eu/ldmservice/dataset/iclef--in-context-learning-with-expert-feedback-for-explainable-style}, year = {2024} }
