| Can prompt probe pretrained language models? understanding the invisible risks from a causal view B Cao, H Lin, X Han, F Liu, L Sun Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 32 | 2022 |
| Pre-training to Match for Unified Low-shot Relation Extraction F Liu, H Lin, X Han, B Cao, L Sun Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 27 | 2022 |
| Element Intervention for Open Relation Extraction F Liu, L Yan, H Lin, X Han, L Sun ACL-IJCNLP, 2021 | 22 | 2021 |
| From learning-to-match to learning-to-discriminate: global prototype learning for few-shot relation classification F Liu, X Xiao, L Yan, H Lin, X Han, D Dai, H Wu, L Sun China National Conference on Chinese Computational Linguistics, 193-208, 2021 | 7 | 2021 |
| Towards a Unified Language Model for Knowledge-Intensive Tasks Utilizing External Corpus X Li, Z Dou, Y Zhou, F Liu arXiv preprint arXiv:2402.01176, 2024 | 4 | 2024 |
| Corpuslm: Towards a unified language model on corpus for knowledge-intensive tasks X Li, Z Dou, Y Zhou, F Liu Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 3 | 2024 |
| From bag of sentences to document: Distantly supervised relation extraction via machine reading comprehension L Yan, X Han, L Sun, F Liu, N Bian arXiv preprint arXiv:2012.04334, 2020 | 2 | 2020 |
| Generative Retrieval via Term Set Generation P Zhang, Z Liu, Y Zhou, Z Dou, F Liu, Z Cao Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | | 2024 |
