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Teaching Small Language Models to Reason.

, , , , and . ACL (2), page 1773-1781. Association for Computational Linguistics, (2023)

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Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2073-2082. PMLR, (2019)Fast Text Generation with Text-Editing Models., , , , , , , , , and . KDD, page 5815-5816. ACM, (2023)Encode, Tag, Realize: High-Precision Text Editing., , , , and . EMNLP/IJCNLP (1), page 5053-5064. Association for Computational Linguistics, (2019)Small Language Models Improve Giants by Rewriting Their Outputs., , , , , and . EACL (1), page 2703-2718. Association for Computational Linguistics, (2024)EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start., , , and . EMNLP (Findings), page 2126-2138. Association for Computational Linguistics, (2022)Leveraging Pre-trained Checkpoints for Sequence Generation Tasks., , and . Trans. Assoc. Comput. Linguistics, (2020)Text Generation with Text-Editing Models., , , , , , , , , and . CoRR, (2022)Twitter Sentiment Analysis with Deep Convolutional Neural Networks., and . SIGIR, page 959-962. ACM, (2015)Teaching Small Language Models to Reason., , , , and . ACL (2), page 1773-1781. Association for Computational Linguistics, (2023)Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks., and . SIGIR, page 373-382. ACM, (2015)