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Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations.

, , , , , , , and . EMNLP, page 2422-2437. Association for Computational Linguistics, (2022)

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Cell-aware Stacked LSTMs for Modeling Sentences., , and . ACML, volume 101 of Proceedings of Machine Learning Research, page 1172-1187. PMLR, (2019)Aligning Language Models to Explicitly Handle Ambiguity., , , , , , , and . CoRR, (2024)Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations., , , , , , , and . EMNLP, page 2422-2437. Association for Computational Linguistics, (2022)Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts., , , , , , , , and . CoRR, (2024)A Syllable-based Technique for Word Embeddings of Korean Words., , , and . SWCN@EMNLP, page 36-40. Association for Computational Linguistics, (2017)BlendX: Complex Multi-Intent Detection with Blended Patterns., , , , and . LREC/COLING, page 2428-2439. ELRA and ICCL, (2024)FT-LADS: Fault-Tolerant Object-Logging based Big Data Transfer System using Layout-Aware Data Scheduling., , , , , and . CoRR, (2018)SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension., , and . SemEval@NAACL-HLT, page 1083-1088. Association for Computational Linguistics, (2018)Luminance and gamma optimization for mobile display in low ambient conditions., , , , , , , and . IQSP, volume 9396 of SPIE Proceedings, page 93960B. SPIE, (2015)Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations., , , , and . AAAI, page 6594-6601. AAAI Press, (2019)