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苏劲松
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教授
- 入职时间：2011-07-25
- 所在单位：信息学院
- 学历：博士研究生毕业
- 性别：男
- 学位：工学博士学位
- 在职信息：在职
访问量：
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[31]苏劲松.An Effective Pre-trained Visual Encoder for?Medical Visual Question Answering.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),14180 LNAI466-481.
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[32]苏劲松.A Simple yet Effective Self-Debiasing Framework for Transformer Models.arXiv,2023,
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[33]苏劲松.BIGVIDEO: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation.Proceedings of the Annual Meeting of the Association for Computational Linguistics,8456-8473.
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[34]苏劲松.Revisiting Non-Autoregressive Translation at Scale.Proceedings of the Annual Meeting of the Association for Computational Linguistics,12051-12065.
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[35]苏劲松.Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction.IJCAI International Joint Conference on Artificial Intelligence,2023-August5278-5286.
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[36]苏劲松.A Sequence-to-Sequence&Set Model for Text-to-Table Generation.Proceedings of the Annual Meeting of the Association for Computational Linguistics,5358-5370.
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[37]苏劲松.Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment.arXiv,2023,
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[38]苏劲松.Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction.Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023,2023,3713967-13975.
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[39]苏劲松.D<SUP>2</SUP>PSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation.IEEE/ACM Transactions on Audio Speech and Language Processing,311-10.
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[40]苏劲松.The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task.20th International Conference on Spoken Language Translation, IWSLT 2023 - Proceedings of the Conference,411-419.
