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Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations.

, , , , , , , , , , , and . CoRR, (2021)

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Question Generation from Code Snippets and Programming Error Messages., , , , , , , and . NLPCC (1), volume 13028 of Lecture Notes in Computer Science, page 401-412. Springer, (2021)Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations., , , , , , , , , and 2 other author(s). CoRR, (2021)Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations., , , , , , , , , and 2 other author(s). ACL (1), page 4865-4877. Association for Computational Linguistics, (2022)DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation., , , , , , , , , and 2 other author(s). ACL (1), page 4852-4864. Association for Computational Linguistics, (2022)CodeRetriever: Unimodal and Bimodal Contrastive Learning., , , , , , , , , and . CoRR, (2022)CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search., , , , , , , , , and . EMNLP, page 2898-2910. Association for Computational Linguistics, (2022)ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation., , , , , , , , , and 2 other author(s). ACL (demo), page 232-239. Association for Computational Linguistics, (2021)