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A Controllable Model of Grounded Response Generation.

, , , , , , , , , , и . AAAI, стр. 14085-14093. AAAI Press, (2021)

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DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation, , , , , , , , и . (2019)cite arxiv:1911.00536Comment: Accepted by ACL 2020 system demonstration.Hybrid natural language generation for spoken dialogue systems., , и . INTERSPEECH, стр. 1735-1738. ISCA, (2001)Joint Language and Translation Modeling with Recurrent Neural Networks., , , и . EMNLP, стр. 1044-1054. ACL, (2013)Probing Factually Grounded Content Transfer with Factual Ablation., , , и . ACL (Findings), стр. 3732-3746. Association for Computational Linguistics, (2022)Consistent Dialogue Generation with Self-supervised Feature Learning., , , , , , и . CoRR, (2019)Large-scale Expected BLEU Training of Phrase-based Reordering Models., , и . EMNLP, стр. 1250-1260. ACL, (2014)MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts., , , , , , , , , и . ICLR, OpenReview.net, (2024)Dialogue Response Ranking Training with Large-Scale Human Feedback Data., , , , и . EMNLP (1), стр. 386-395. Association for Computational Linguistics, (2020)Optimizing Chinese Word Segmentation for Machine Translation Performance., , и . WMT@ACL, стр. 224-232. Association for Computational Linguistics, (2008)Towards Content Transfer through Grounded Text Generation., , и . NAACL-HLT (1), стр. 2622-2632. Association for Computational Linguistics, (2019)