| Openke: An open toolkit for knowledge embedding X Han, S Cao, X Lv, Y Lin, Z Liu, M Sun, J Li Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 432 | 2018 |
| Chatglm: A family of large language models from glm-130b to glm-4 all tools T GLM, A Zeng, B Xu, B Wang, C Zhang, D Yin, D Zhang, D Rojas, G Feng, ... arXiv preprint arXiv:2406.12793, 2024 | 237 | 2024 |
| KQA pro: A dataset with explicit compositional programs for complex question answering over knowledge base S Cao, J Shi, L Pan, L Nie, Y Xiang, L Hou, J Li, B He, H Zhang arXiv preprint arXiv:2007.03875, 2020 | 141* | 2020 |
| Kola: Carefully benchmarking world knowledge of large language models J Yu, X Wang, S Tu, S Cao, D Zhang-Li, X Lv, H Peng, Z Yao, X Zhang, ... arXiv preprint arXiv:2306.09296, 2023 | 116 | 2023 |
| Transfernet: An effective and transparent framework for multi-hop question answering over relation graph J Shi, S Cao, L Hou, J Li, H Zhang arXiv preprint arXiv:2104.07302, 2021 | 115 | 2021 |
| Program transfer for answering complex questions over knowledge bases S Cao, J Shi, Z Yao, X Lv, J Yu, L Hou, J Li, Z Liu, J Xiao arXiv preprint arXiv:2110.05743, 2021 | 54 | 2021 |
| MOOCCubeX: a large knowledge-centered repository for adaptive learning in MOOCs J Yu, Y Wang, Q Zhong, G Luo, Y Mao, K Sun, W Feng, W Xu, S Cao, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 40 | 2021 |
| GraphQ IR: Unifying the semantic parsing of graph query languages with one intermediate representation L Nie, S Cao, J Shi, J Sun, Q Tian, L Hou, J Li, J Zhai arXiv preprint arXiv:2205.12078, 2022 | 24 | 2022 |
| FC-KBQA: A fine-to-coarse composition framework for knowledge base question answering L Zhang, J Zhang, Y Wang, S Cao, X Huang, C Li, H Chen, J Li arXiv preprint arXiv:2306.14722, 2023 | 21 | 2023 |
| A roadmap for big model S Yuan, H Zhao, S Zhao, J Leng, Y Liang, X Wang, J Yu, X Lv, Z Shao, ... arXiv preprint arXiv:2203.14101, 2022 | 21 | 2022 |
| A survey on complex factual question answering L Zhang, J Zhang, X Ke, H Li, X Huang, Z Shao, S Cao, X Lv AI Open 4, 1-12, 2023 | 15 | 2023 |
| Dependency parsing via sequence generation B Lin, Z Yao, J Shi, S Cao, B Tang, S Li, Y Luo, J Li, L Hou Findings of the Association for Computational Linguistics: EMNLP 2022, 7339-7353, 2022 | 11 | 2022 |
| Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions S Cao, J Zhang, J Shi, X Lv, Z Yao, Q Tian, J Li, L Hou arXiv preprint arXiv:2311.13982, 2023 | 9 | 2023 |
| Korc: Knowledge oriented reading comprehension benchmark for deep text understanding Z Yao, Y Liu, X Lv, S Cao, J Yu, L Hou, J Li arXiv preprint arXiv:2307.03115, 2023 | 8 | 2023 |
| Knowledge-augmented self-training of a question rewriter for conversational knowledge base question answering X Ke, J Zhang, X Lv, Y Xu, S Cao, C Li, H Chen, J Li Findings of the Association for Computational Linguistics: EMNLP 2022, 1844-1856, 2022 | 8 | 2022 |
| Longcite: Enabling llms to generate fine-grained citations in long-context qa J Zhang, Y Bai, X Lv, W Gu, D Liu, M Zou, S Cao, L Hou, Y Dong, L Feng, ... arXiv preprint arXiv:2409.02897, 2024 | 7 | 2024 |
| Seakr: Self-aware knowledge retrieval for adaptive retrieval augmented generation Z Yao, W Qi, L Pan, S Cao, L Hu, W Liu, L Hou, J Li arXiv preprint arXiv:2406.19215, 2024 | 7 | 2024 |
| Reasoning over hierarchical question decomposition tree for explainable question answering J Zhang, S Cao, T Zhang, X Lv, J Shi, Q Tian, J Li, L Hou arXiv preprint arXiv:2305.15056, 2023 | 7 | 2023 |
| Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models Y Liu, Z Yao, X Lv, Y Fan, S Cao, J Yu, L Hou, J Li arXiv preprint arXiv:2404.03577, 2024 | 6 | 2024 |
| Chatglm: A family of large language models from glm-130b to glm-4 all tools, 2024 T GLM, A Zeng, B Xu, B Wang, C Zhang, D Yin, D Zhang, D Rojas, G Feng, ... URL https://arxiv. org/abs/2406.12793, 0 | 5 | |
Lei Hou (侯磊)Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证