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At line 16 changed 4 lines
* __dataset retrieval__: search engines for open datasets, featuring dataset fusion, retrieval, ranking, summarization, recommendation, etc.;\\[[ [SIGIR 2026|https://doi.org/10.1145/3805712.3808588] | [EMNLP 2025|https://doi.org/10.18653/v1/2025.emnlp-main.353] | [SIGIR 2025|https://doi.org/10.1145/3726302.3730120] ]
* __graph search algorithms__: search algorithms for large graph data, e.g., efficient approximation algorithms for Group Steiner Tree problems;\\[[ [WWW 2026|https://doi.org/10.1145/3774904.3792210] | [WWW 2024|https://doi.org/10.1145/3589334.3645325] | [WWW 2023|https://doi.org/10.1145/3543507.3583257] | [WWW 2023|https://doi.org/10.1145/3543507.3583429] ]
* __LLM inference__: optimization of LLM inference for specific tasks and solving complex problems in critical domains;\\[[ ICML 2026 | ACL 2026 | ICLR 2026 | [NeurIPS 2024|https://doi.org/10.52202/079017-1076] ]
* __knowledge-based RAG__: retrieval of multi-source heterogeneous knowledge, e.g., knowledge graphs and tables, for enhancing the generation of LLMs.\\[[ [ISWC 2025|https://doi.org/10.1007/978-3-032-09530-5_1] ]
* __data retrieval and RAG__: multi-source data retrieval, including dataset retrieval, data selection, knowledge graph RAG, etc.;\\[[ [SIGIR 2026|https://doi.org/10.1145/3805712.3808588] | [EMNLP 2025|https://doi.org/10.18653/v1/2025.emnlp-main.353] | [SIGIR 2025|https://doi.org/10.1145/3726302.3730120] ]
* __graph algorithm design and analysis__: search algorithms for large-scale graph data, e.g., Group Steiner Tree algorithms;\\[[ VLDB 2026 | [WWW 2026|https://doi.org/10.1145/3774904.3792210] | [WWW 2024|https://doi.org/10.1145/3589334.3645325] ]
* __multimodal knowledge reasoning__: multimodal data governance, knowledge extraction and fusion, trustworthy reasoning and decision support.\\[[ ICML 2026 | ACL 2026 | ICLR 2026 ]