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Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification., , and . EMNLP/IJCNLP (1), page 486-495. Association for Computational Linguistics, (2019)Masked Graph Transformer for Large-Scale Recommendation., , , , , , and . SIGIR, page 2502-2506. ACM, (2024)Adversarial Collaborative Filtering for Free., , , , , , , and . RecSys, page 245-255. ACM, (2023)Harnessing Explanations to Bridge AI and Humans., , and . CoRR, (2020)Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application., , , , , , and . AIED (2), volume 12749 of Lecture Notes in Computer Science, page 344-348. Springer, (2021)Analysis of teamwork dialogue: A data mining approach., , , and . IEEE BigData, page 4032-4034. IEEE Computer Society, (2016)Sharpness-Aware Graph Collaborative Filtering., , , , , , , and . SIGIR, page 2369-2373. ACM, (2023)On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection., and . FAT, page 29-38. ACM, (2019)Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering., , , , , and . WSDM, page 106-115. ACM, (2024)"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans., , and . CHI, page 1-13. ACM, (2020)