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

, , , , , , , , , , , и . CoRR, (2021)

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Yao Yao

Elisabeth Bolund

Hongmei Yao

Yefeng Yao

Haimin Yao

 

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