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现阶段,主要研究以下3个具体问题:
*__数据搜索引擎__:研发更有效的数据搜索引擎,包括数据的融合、检索、排序、摘要、推荐等; [[ [全国公共数据一站式搜索|http://open-data.store/cn-public/] | [SIGIR 2024|https://doi.org/10.1145/3626772.3657837] | [ISWC 2023|https://doi.org/10.1007/978-3-031-47240-4_2] | [TKDE 2023|https://doi.org/10.1109/TKDE.2021.3095309] ]
*__图谱搜索算法__:研究大规模知识图谱的搜索算法,包括斯坦纳树相关问题的高效近似算法等; [[ [WWW 2024|https://doi.org/10.1145/3589334.3645325] | [WWW 2023|https://doi.org/10.1145/3543507.3583257] | [WWW 2021|https://doi.org/10.1145/3442381.3449900] ]
*__大模型与推理__:研究大模型等神经网络与知识库等符号推理方法的融合,用于解决复杂问题。 [[ [ICLR 2024|https://openreview.net/pdf?id=riNuqYiD66] | [AAAI 2023|https://doi.org/10.1609/aaai.v37i11.26543] | [ACL 2022|https://doi.org/10.18653/v1/2022.acl-long.494] ]
现阶段,主要研究以下具体问题:
*__数据集搜索__:研发开放数据集搜索引擎,包括数据集的融合、检索、排序、摘要、推荐等\\[[ [全国公共数据一站式搜索|http://open-data.store/cn-public/] | [SIGIR 2024|https://doi.org/10.1145/3626772.3657837] | [SIGIR 2024|https://doi.org/10.1145/3626772.3657866] | [ISWC 2023|https://doi.org/10.1007/978-3-031-47240-4_2] ]
*__图搜索算法__:研究大规模图数据的搜索算法,包括组斯坦纳树相关问题的高效近似算法等\\[[ [WWW 2024|https://doi.org/10.1145/3589334.3645325] | [WWW 2023|https://doi.org/10.1145/3543507.3583257] ]
*__大模型推理__:研究针对特定任务的大语言模型推理优化,用于解决关键领域中的复杂问题\\[[ [ICLR 2024|https://openreview.net/pdf?id=riNuqYiD66] | [AAAI 2023|https://doi.org/10.1609/aaai.v37i11.26543] ]
*__知识RAG__:研究知识图谱、表格等多源异构知识的检索,用于增强大语言模型的生成效果