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HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations.

, , , , , , и . ACL (1), стр. 5086-5097. Association for Computational Linguistics, (2022)

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PoNet: Pooling Network for Efficient Token Mixing in Long Sequences., , , , , и . CoRR, (2021)Neural Grapheme-To-Phoneme Conversion with Pre-Trained Grapheme Models., , , , , и . ICASSP, стр. 6202-6206. IEEE, (2022)DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion., , и . CoRR, (2023)PoNet: Pooling Network for Efficient Token Mixing in Long Sequences., , , , , и . ICLR, OpenReview.net, (2022)Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems., , , , , , , , , и . CoRR, (2020)HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations., , , , , , и . ACL (1), стр. 5086-5097. Association for Computational Linguistics, (2022)Is ChatGPT a Good Multi-Party Conversation Solver?, , и . EMNLP (Findings), стр. 4905-4915. Association for Computational Linguistics, (2023)MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation., , , , , , и . EMNLP, стр. 7681-7692. Association for Computational Linguistics, (2023)MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation., , , , , , , и . CoRR, (2023)TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge., , , , , , , и . ACL (Findings), стр. 1597-1609. Association for Computational Linguistics, (2022)