Modeling discriminative representations for out-of-domain detection with supervised contrastive learning Z Zeng, K He, Y Yan, Z Liu, Y Wu, H Xu, H Jiang, W Xu arXiv preprint arXiv:2105.14289, 2021 | 59 | 2021 |
Dynamically disentangling social bias from task-oriented representations with adversarial attack L Wang, Y Yan, K He, Y Wu, W Xu Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 24 | 2021 |
RCL: Relation contrastive learning for zero-shot relation extraction S Wang, B Zhang, Y Xu, Y Wu, B Xiao Findings of the Association for Computational Linguistics: NAACL 2022, 2456-2468, 2022 | 15 | 2022 |
Domain-oriented prefix-tuning: Towards efficient and generalizable fine-tuning for zero-shot dialogue summarization L Zhao, F Zheng, W Zeng, K He, W Xu, H Jiang, W Wu, Y Wu arXiv preprint arXiv:2204.04362, 2022 | 15 | 2022 |
Revisit overconfidence for OOD detection: Reassigned contrastive learning with adaptive class-dependent threshold Y Wu, K He, Y Yan, QX Gao, Z Zeng, F Zheng, L Zhao, H Jiang, W Wu, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 13 | 2022 |
Disentangled knowledge transfer for OOD intent discovery with unified contrastive learning Y Mou, K He, Y Wu, Z Zeng, H Xu, H Jiang, W Wu, W Xu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 13 | 2022 |
Watch the neighbors: A unified k-nearest neighbor contrastive learning framework for OOD intent discovery Y Mou, K He, P Wang, Y Wu, J Wang, W Wu, W Xu arXiv preprint arXiv:2210.08909, 2022 | 9 | 2022 |
Novel slot detection: A benchmark for discovering unknown slot types in the task-oriented dialogue system Y Wu, Z Zeng, K He, H Xu, Y Yan, H Jiang, W Xu arXiv preprint arXiv:2105.14313, 2021 | 8 | 2021 |
Distribution calibration for out-of-domain detection with Bayesian approximation Y Wu, Z Zeng, K He, Y Mou, P Wang, W Xu arXiv preprint arXiv:2209.06612, 2022 | 6 | 2022 |
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models Y Wu, J Liu, X Bu, J Liu, Z Zhou, Y Zhang, C Zhang, Z Bai, H Chen, T Ge, ... arXiv preprint arXiv:2402.14660, 2024 | | 2024 |