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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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[21]苏劲松,Exploring Better Text Image Translation with Multimodal Codebook.PROCEEDINGS OF THE 61ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL 2023, VOL 1,3479-3491.
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[22]苏劲松.Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.arXiv,2024,
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[23]苏劲松.Multi-modal graph contrastive encoding for neural machine translation.Artificial Intelligence,2022,323
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[24]苏劲松.Fine-Grained Self-Endorsement Improves Factuality and Reasoning.arXiv,2024,
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[25]苏劲松.TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation.arXiv,2024,
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[26]苏劲松.LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning.Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023,2023,375169-5177.
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[27]苏劲松.Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering.MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia,2023,3897-3907.
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[28]苏劲松.Modeling different effects of user and product attributes on review sentiment classification.Applied Intelligence,
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[29]苏劲松.Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training.Proceedings - International Conference on Computational Linguistics, COLING,29(1):5266-5277.
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[30]苏劲松.OpenFact: Factuality Enhanced Open Knowledge Extraction.TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS,2023,11686-702.
