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COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.

, , , , , , , and . EMNLP, page 13258-13275. Association for Computational Linguistics, (2023)

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A needs analysis for instructional support in LegSim., , , and . ICLS (3), page 53-54. International Society of the Learning Sciences, (2008)New challenges in CSCL: towards adaptive script support., , , , , , , , , and 6 other author(s). ICLS (3), page 338-345. International Society of the Learning Sciences, (2008)Using Comments for Predicting the Affective Response to Social Media Posts., , , and . ACII, page 1-8. IEEE, (2023)Support matching and satisfaction in an online breast cancer support community., , , and . CHI, page 1625-1634. ACM, (2014)Consequences of Conflicts in Online Conversations., , , , , and . ICWSM, page 57-69. AAAI Press, (2024)A Crisis of Civility? Modeling Incivility and Its Effects in Political Discourse Online., , , , , , , and . ICWSM, page 408-421. AAAI Press, (2024)MART: Improving LLM Safety with Multi-round Automatic Red-Teaming., , , , , , , and . NAACL-HLT, page 1927-1937. Association for Computational Linguistics, (2024)COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation., , , , , , , and . EMNLP, page 13258-13275. Association for Computational Linguistics, (2023)Affective Signals in a Social Media Recommender System., , , , and . KDD, page 2831-2841. ACM, (2022)Does Saying This Make Me Look Good?: How Posters and Outsiders Evaluate Facebook Updates., , and . CHI, page 125-129. ACM, (2016)