| 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, ... CVPR 2024 (Oral); Best Paper Candidate, 2024 | 650 | 2024 |
| 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 | 418 | 2020 |
| 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 ICLR 2024 (Spotlight), 2024 | 315 | 2024 |
| Predicting drug-disease associations by using similarity constrained matrix factorization W Zhang, X Yue, W Lin, W Wu, R Liu, F Huang, F Liu BMC bioinformatics 19, 1-12, 2018 | 266 | 2018 |
| Mmlu-pro: A more robust and challenging multi-task language understanding benchmark Y Wang, X Ma, G Zhang, Y Ni, A Chandra, S Guo, W Ren, A Arulraj, X He, ... NeurIPS 2024, 2024 | 207* | 2024 |
| SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions W Zhang, X Yue, G Tang, W Wu, F Huang, X Zhang PLoS computational biology 14 (12), e1006616, 2018 | 148 | 2018 |
| Long-context llms struggle with long in-context learning T Li, G Zhang, QD Do, X Yue, W Chen arXiv preprint arXiv:2404.02060, 2024 | 142 | 2024 |
| Manifold regularized matrix factorization for drug-drug interaction prediction W Zhang, Y Chen, D Li, X Yue Journal of biomedical informatics 88, 90-97, 2018 | 124 | 2018 |
| Opencodeinterpreter: Integrating code generation with execution and refinement T Zheng, G Zhang, T Shen, X Liu, BY Lin, J Fu, W Chen, X Yue ACL 2024 Findings, 2024 | 106 | 2024 |
| Automatic evaluation of attribution by large language models X Yue, B Wang, K Zhang, Z Chen, Y Su, H Sun Findings of EMNLP 2023, 2023 | 92 | 2023 |
| Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network W Zhang, X Yue, F Huang, R Liu, Y Chen, C Ruan Methods 145, 51-59, 2018 | 91 | 2018 |
| Synthetic text generation with differential privacy: A simple and practical recipe X Yue, HA Inan, X Li, G Kumar, J McAnallen, H Sun, D Levitan, R Sim ACL 2023, 2022 | 90 | 2022 |
| Data engineering for scaling language models to 128k context Y Fu, R Panda, X Niu, X Yue, H Hajishirzi, Y Kim, H Peng ICML 2024, 2024 | 89 | 2024 |
| Differential Privacy for Text Analytics via Natural Text Sanitization X Yue, M Du, T Wang, Y Li, H Sun, SSM Chow ACL 2021 Findings, 2021 | 89* | 2021 |
| Tablellama: Towards open large generalist models for tables T Zhang, X Yue, Y Li, H Sun NAACL 2024, 2024 | 78 | 2024 |
| Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations F Huang, X Yue, Z Xiong, Z Yu, S Liu, W Zhang Briefings in Bioinformatics, 2020 | 74 | 2020 |
| Can ChatGPT defend its belief in truth? evaluating LLM reasoning via debate B Wang, X Yue, H Sun EMNLP 2023 Findings, 2023 | 72* | 2023 |
| Mammoth2: Scaling instructions from the web X Yue, T Zheng, G Zhang, W Chen NeurIPS 2024, 2024 | 71 | 2024 |
| A unified frame of predicting side effects of drugs by using linear neighborhood similarity W Zhang, X Yue, F Liu, Y Chen, S Tu, X Zhang BMC systems biology 11, 23-34, 2017 | 64 | 2017 |
| Dp-forward: Fine-tuning and inference on language models with differential privacy in forward pass M Du, X Yue, SSM Chow, T Wang, C Huang, H Sun Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 60 | 2023 |
Huan SunEndowed CoE Innovation Scholar and Associate Professor, The Ohio State UniversityE-mail megerősítve itt: osu.edu