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Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning., , , , , , and . CoRR, (2024)On the Relation between Sensitivity and Accuracy in In-context Learning., , , , and . CoRR, (2022)Meta-learning via Language Model In-context Tuning., , , , and . ACL (1), page 719-730. Association for Computational Linguistics, (2022)A Fuzzy Connectedness Segmentation of Image Sequences Based on 3D Seed Points Selection., , and . ISCSCT (2), page 372-375. IEEE Computer Society, (2008)Detecting and Reducing Bias in a High Stakes Domain., , , , and . EMNLP/IJCNLP (1), page 4764-4774. Association for Computational Linguistics, (2019)Parallel Structures in Pre-training Data Yield In-Context Learning., , , , and . ACL (1), page 8582-8592. Association for Computational Linguistics, (2024)Cross-language Sentence Selection via Data Augmentation and Rationale Training., , , , , , and . ACL/IJCNLP (1), page 3881-3895. Association for Computational Linguistics, (2021)On the Relation between Sensitivity and Accuracy in In-Context Learning., , , , and . EMNLP (Findings), page 155-167. Association for Computational Linguistics, (2023)Social Orientation: A New Feature for Dialogue Analysis., , , , , and . LREC/COLING, page 14995-15011. ELRA and ICCL, (2024)Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations., , , , , , , and . ICML, OpenReview.net, (2024)