| 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 | 110 | 2023 |
| When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks H Peng, X Wang, J Chen, W Li, Y Qi, Z Wang, Z Wu, K Zeng, B Xu, L Hou, ... arXiv preprint arXiv:2311.08993, 2023 | 24 | 2023 |
| ADELIE: Aligning Large Language Models on Information Extraction Y Qi, H Peng, X Wang, B Xu, L Hou, J Li arXiv preprint arXiv:2405.05008, 2024 | 5 | 2024 |
| Llmael: Large language models are good context augmenters for entity linking A Xin, Y Qi, Z Yao, F Zhu, K Zeng, X Bin, L Hou, J Li arXiv preprint arXiv:2407.04020, 2024 | 4 | 2024 |
| GBGVD: Growth-based geodesic Voronoi diagrams Y Qi, C Zong, Y Zhang, S Chen, M Xu, L Ran, J Xu, S Xin, Y He Graphical Models 129, 101196, 2023 | 2 | 2023 |
| MAVEN-Fact: A Large-scale Event Factuality Detection Dataset C Li, H Peng, X Wang, Y Qi, L Hou, B Xu, J Li arXiv preprint arXiv:2407.15352, 2024 | 1 | 2024 |
| Constraint Back-translation Improves Complex Instruction Following of Large Language Models Y Qi, H Peng, X Wang, B Xu, L Hou, J Li arXiv preprint arXiv:2410.24175, 2024 | | 2024 |
