Wang, Nan, Wang, Qifan, Wang, Yi-Chia, Sanjabi, Maziar, Liu, Jingzhou, Firooz, Hamed, Wang, Hongning, and Nie, Shaoliang. COFFEE: Counterfactual Fairness forPersonalized Text Generation in Explainable Recommendation. 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP'2023) . Web. doi:10.18653/v1/2023.emnlp-main.819.

Wang, Nan, Wang, Qifan, Wang, Yi-Chia, Sanjabi, Maziar, Liu, Jingzhou, Firooz, Hamed, Wang, Hongning, & Nie, Shaoliang. COFFEE: Counterfactual Fairness forPersonalized Text Generation in Explainable Recommendation. 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP'2023), (). https://doi.org/10.18653/v1/2023.emnlp-main.819

Wang, Nan, Wang, Qifan, Wang, Yi-Chia, Sanjabi, Maziar, Liu, Jingzhou, Firooz, Hamed, Wang, Hongning, and Nie, Shaoliang. "COFFEE: Counterfactual Fairness forPersonalized Text Generation in Explainable Recommendation". 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP'2023) (). Country unknown/Code not available: EMNLP. https://doi.org/10.18653/v1/2023.emnlp-main.819. https://par.nsf.gov/biblio/10517124.

@article{osti_10517124,
place = {Country unknown/Code not available}, title = {COFFEE: Counterfactual Fairness forPersonalized Text Generation in Explainable Recommendation}, url = {https://par.nsf.gov/biblio/10517124}, DOI = {10.18653/v1/2023.emnlp-main.819}, abstractNote = {}, journal = {2023 Conference on Empirical Methods in Natural Language Processing (EMNLP'2023)}, publisher = {EMNLP}, author = {Wang, Nan and Wang, Qifan and Wang, Yi-Chia and Sanjabi, Maziar and Liu, Jingzhou and Firooz, Hamed and Wang, Hongning and Nie, Shaoliang}, }