| Graph embedding on biomedical networks: methods, applications and evaluations X Yue, Z Wang, J Huang, S Parthasarathy, S Moosavinasab, Y Huang, ... Bioinformatics 36 (4), 1241-1251, 2020 | 389 | 2020 |
| Turl: Table understanding through representation learning X Deng, H Sun, A Lees, Y Wu, C Yu ACM SIGMOD Record 51 (1), 33-40, 2022 | 274 | 2022 |
| Agentbench: Evaluating llms as agents X Liu, H Yu, H Zhang, Y Xu, X Lei, H Lai, Y Gu, H Ding, K Men, K Yang, ... arXiv preprint arXiv:2308.03688, 2023 | 257* | 2023 |
| Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi X Yue, Y Ni, K Zhang, T Zheng, R Liu, G Zhang, S Stevens, D Jiang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 229 | 2024 |
| Interpreting the public sentiment variations on twitter S Tan, Y Li, H Sun, Z Guan, X Yan, J Bu, C Chen, X He IEEE transactions on knowledge and data engineering 26 (5), 1158-1170, 2013 | 229 | 2013 |
| Mind2web: Towards a generalist agent for the web X Deng, Y Gu, B Zheng, S Chen, S Stevens, B Wang, H Sun, Y Su Advances in Neural Information Processing Systems 36, 2024 | 190 | 2024 |
| Mammoth: Building math generalist models through hybrid instruction tuning X Yue, X Qu, G Zhang, Y Fu, W Huang, H Sun, Y Su, W Chen arXiv preprint arXiv:2309.05653, 2023 | 174 | 2023 |
| Towards understanding chain-of-thought prompting: An empirical study of what matters B Wang, S Min, X Deng, J Shen, Y Wu, L Zettlemoyer, H Sun arXiv preprint arXiv:2212.10001, 2022 | 149* | 2022 |
| Table cell search for question answering H Sun, H Ma, X He, W Yih, Y Su, X Yan Proceedings of the 25th International Conference on World Wide Web, 771-782, 2016 | 145 | 2016 |
| On generating characteristic-rich question sets for qa evaluation Y Su, H Sun, B Sadler, M Srivatsa, I Gür, Z Yan, X Yan Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 135 | 2016 |
| Thinking about gpt-3 in-context learning for biomedical ie? think again BJ Gutiérrez, N McNeal, C Washington, Y Chen, L Li, H Sun, Y Su arXiv preprint arXiv:2203.08410, 2022 | 133* | 2022 |
| Structure-grounded pretraining for text-to-SQL X Deng, AH Awadallah, C Meek, O Polozov, H Sun, M Richardson arXiv preprint arXiv:2010.12773, 2020 | 124 | 2020 |
| Open domain question answering via semantic enrichment H Sun, H Ma, W Yih, CT Tsai, J Liu, MW Chang Proceedings of the 24th International Conference on World Wide Web, 1045-1055, 2015 | 124 | 2015 |
| Coacor: Code annotation for code retrieval with reinforcement learning Z Yao, JR Peddamail, H Sun The world wide web conference, 2203-2214, 2019 | 117 | 2019 |
| Staqc: A systematically mined question-code dataset from stack overflow Z Yao, DS Weld, WP Chen, H Sun Proceedings of the 2018 World Wide Web Conference, 1693-1703, 2018 | 102 | 2018 |
| Magicbrush: A manually annotated dataset for instruction-guided image editing K Zhang, L Mo, W Chen, H Sun, Y Su Advances in Neural Information Processing Systems 36, 2024 | 100 | 2024 |
| Schemaless and structureless graph querying S Yang, Y Wu, H Sun, X Yan Proceedings of the VLDB Endowment 7 (7), 565-576, 2014 | 99 | 2014 |
| Iteratively prompt pre-trained language models for chain of thought B Wang, X Deng, H Sun arXiv preprint arXiv:2203.08383, 2022 | 96 | 2022 |
| Synthetic review spamming and defense H Sun, A Morales, X Yan Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 96 | 2013 |
| Multitask prompt tuning enables parameter-efficient transfer learning Z Wang, R Panda, L Karlinsky, R Feris, H Sun, Y Kim arXiv preprint arXiv:2303.02861, 2023 | 86 | 2023 |
Xifeng YanProfessor, Computer Science, Univ. of California at Santa BarbaraVerified email at cs.ucsb.edu
