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On the Calibration of Large Language Models and Alignment., , , , and . CoRR, (2023)USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings., , , , , , , , , and . SemEval@NAACL, page 1511-1522. Association for Computational Linguistics, (2024)Retrieval-Augmented Domain Adaptation of Language Models., , , , , , , , and . RepL4NLP@ACL, page 54-64. Association for Computational Linguistics, (2023)Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction., , , , and . AAAI, page 14149-14157. AAAI Press, (2021)Benchmarking Large Language Models on Controllable Generation under Diversified Instructions., , , , and . AAAI, page 17808-17816. AAAI Press, (2024)Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning., , , , , and . CoRR, (2023)EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction., , , , , , and . NAACL-HLT, page 659-665. Association for Computational Linguistics, (2022)Modaldrop: Modality-Aware Regularization for Temporal-Spectral Fusion in Human Activity Recognition., , , and . ICASSP, page 1-5. IEEE, (2023)S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction., , , , , and . ACL (1), page 8186-8207. Association for Computational Linguistics, (2023)UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction., , , , , , and . EMNLP, page 7087-7099. Association for Computational Linguistics, (2022)