A survey on evaluation of large language models Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ... ACM Transactions on Intelligent Systems and Technology 15 (3), 1-45, 2024 | 2121 | 2024 |
Promptrobust: Towards evaluating the robustness of large language models on adversarial prompts K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, Y Zhang, ... Proceedings of the 1st ACM Workshop on Large AI Systems and Models with …, 2023 | 256* | 2023 |
On the robustness of chatgpt: An adversarial and out-of-distribution perspective J Wang, X Hu, W Hou, H Chen, R Zheng, Y Wang, L Yang, H Huang, ... arXiv preprint arXiv:2302.12095, 2023 | 242 | 2023 |
Pandalm: An automatic evaluation benchmark for llm instruction tuning optimization Y Wang, Z Yu, Z Zeng, L Yang, C Wang, H Chen, C Jiang, R Xie, J Wang, ... arXiv preprint arXiv:2306.05087, 2023 | 187 | 2023 |
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness B Li, G Fang, Y Yang, Q Wang, W Ye, W Zhao, S Zhang arXiv preprint arXiv:2304.11633, 2023 | 157 | 2023 |
Usb: A unified semi-supervised learning benchmark for classification Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ... Advances in Neural Information Processing Systems 35, 3938-3961, 2022 | 134 | 2022 |
NaturalSpeech 3: Zero-shot speech synthesis with factorized codec and diffusion models Z Ju, Y Wang, K Shen, X Tan, D Xin, D Yang, Y Liu, Y Leng, K Song, ... arXiv preprint arXiv:2403.03100, 2024 | 130 | 2024 |
Anomaly-based web attack detection: a deep learning approach J Liang, W Zhao, W Ye Proceedings of the 2017 VI International Conference on Network …, 2017 | 97 | 2017 |
Graph Enhanced Dual Attention Network for Document-Level Relation Extraction B Li, W Ye, Z Sheng, R Xie, X Xi, S Zhang Proceedings of the 28th International Conference on Computational …, 2020 | 83 | 2020 |
Leveraging code generation to improve code retrieval and summarization via dual learning W Ye, R Xie, J Zhang, T Hu, X Wang, S Zhang Proceedings of The Web Conference 2020, 2309-2319, 2020 | 83 | 2020 |
Songmass: Automatic song writing with pre-training and alignment constraint Z Sheng, K Song, X Tan, Y Ren, W Ye, S Zhang, T Qin Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13798 …, 2021 | 73 | 2021 |
Hallucination augmented contrastive learning for multimodal large language model C Jiang, H Xu, M Dong, J Chen, W Ye, M Yan, Q Ye, J Zhang, F Huang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 70 | 2024 |
Museformer: Transformer with fine-and coarse-grained attention for music generation B Yu, P Lu, R Wang, W Hu, X Tan, W Ye, S Zhang, T Qin, TY Liu Advances in Neural Information Processing Systems 35, 1376-1388, 2022 | 68 | 2022 |
Conv-adapter: Exploring parameter efficient transfer learning for convnets H Chen, R Tao, H Zhang, Y Wang, X Li, W Ye, J Wang, G Hu, M Savvides Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 60 | 2024 |
Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting L Ma, Y Zhang, T Wang, X Liu, W Ye, C Sun, S Zhang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 59 | 2021 |
Complex event processing in RFID middleware: A three layer perspective W Hu, W Ye, Y Huang, S Zhang 2008 Third International Conference on Convergence and Hybrid Information …, 2008 | 58 | 2008 |
Exploiting Code Knowledge Graph for Bug Localization via Bi-directional Attention J Zhang, R Xie, W Ye, Y Zhang, S Zhang Proceedings of the 28th International Conference on Program Comprehension …, 2020 | 53 | 2020 |
Exploiting entity BIO tag embeddings and multi-task learning for relation extraction with imbalanced data W Ye, B Li, R Xie, Z Sheng, L Chen, S Zhang Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 51 | 2019 |
Capturing source code semantics via tree-based convolution over API-enhanced AST L Chen, W Ye, S Zhang Proceedings of the 16th ACM International Conference on Computing Frontiers …, 2019 | 39 | 2019 |
Frequency-aware contrastive learning for neural machine translation T Zhang, W Ye, B Yang, L Zhang, X Ren, D Liu, J Sun, S Zhang, H Zhang, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11712 …, 2022 | 38 | 2022 |