| Mt-bench-101: A fine-grained benchmark for evaluating large language models in multi-turn dialogues G Bai, J Liu, X Bu, Y He, J Liu, Z Zhou, Z Lin, W Su, T Ge, B Zheng, ... arXiv preprint arXiv:2402.14762, 2024 | 13 | 2024 |
| Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction S Li, G Bai, Z Zhang, Y Liu, C Lu, D Guo, R Liu, Y Sun arXiv preprint arXiv:2406.11429, 2024 | | 2024 |
| Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning G Bai, C Lu, D Guo, S Li, Y Liu, Z Zhang, G Dong, R Liu, S Yong Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | | 2024 |
| Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction G Bai, C Lu, J Geng, S Li, Y Shi, X Liu, Y Liu, Z Zhang, R Liu Findings of the Association for Computational Linguistics: EMNLP 2023, 10533 …, 2023 | | 2023 |
