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Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization.

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To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning., , , , , and . COLING, page 1708-1717. International Committee on Computational Linguistics, (2022)Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization., , , , , and . CoRR, (2023)Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality., , , , , and . CoRR, (2023)MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning., , , , , and . CoRR, (2023)Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation., , , , , and . AAAI, page 12662-12672. AAAI Press, (2023)Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis., , , and . AAAI, page 17960-17967. AAAI Press, (2024)Improving the out-of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough., , , , , and . ICASSP, page 1-5. IEEE, (2023)MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-task Learning., , , , , and . ACCV (1), volume 13841 of Lecture Notes in Computer Science, page 523-538. Springer, (2022)Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding., , , , , and . EMNLP, page 14774-14785. Association for Computational Linguistics, (2023)Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry., , , , , and . AAAI, page 13655-13663. AAAI Press, (2023)