COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation

Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie. COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023. pages 13258-13275, Association for Computational Linguistics, 2023. [doi]

Abstract

Abstract is missing.