| OpenChat: Advancing Open-source Language Models with Mixed-Quality Data G Wang*, S Cheng*, X Zhan, X Li, S Song, Y Liu [ICLR'24] The Twelfth International Conference on Learning Representations, 2023 | 69 | 2023 |
| FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion S Cheng, J Wu, Y Xiao, Y Liu, Y Liu Google Workshop on Federated Learning and Analytics, 2021 | 42 | 2021 |
| On Commonsense Cues in BERT for Solving Commonsense Tasks L Cui, S Cheng, Y Wu, Y Zhang [ACL'21] Findings of the Association for Computational Linguistics: ACL …, 2021 | 40* | 2021 |
| Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge J Chen, W Shi, Z Fu, S Cheng, L Li, Y Xiao [ACL'23] Proceedings of the 61st Annual Meeting of the Association for …, 2023 | 24 | 2023 |
| Can Pre-trained Language Models Interpret Similes as Smart as Human? Q He*, S Cheng*, Z Li, R Xie, Y Xiao [ACL'22] Proceedings of the 60th Annual Meeting of the Association for …, 2022 | 12 | 2022 |
| Unsupervised Editing for Counterfactual Stories J Chen, C Gan, S Cheng, H Zhou, Y Xiao, L Li [AAAI'22] Association for the Advancement of Artificial Intelligence 2022, 2022 | 10 | 2022 |
| Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks Z Guo, S Cheng, Y Wang, P Li, Y Liu [ACL'23] Findings of the Proceedings of the 61st Annual Meeting of the …, 2023 | 7 | 2023 |
| Unsupervised Explanation Generation via Correct Instantiations S Cheng, Z Wu, J Chen, Z Li, Y Liu, L Kong [AAAI'23] Association for the Advancement of Artificial Intelligence 2023, 2023 | 5 | 2023 |
| Can Vision-Language Models Think from a First-Person Perspective? S Cheng*, Z Guo*, J Wu*, K Fang, P Li, H Liu, Y Liu [CVPR'24] The Thirty-Fourth IEEE/CVF Conference on Computer Vision and …, 2023 | 4 | 2023 |
| Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision S Cheng, Z Gu, B Liu, R Xie, W Wu, Y Xiao [ICDE'22] 38th IEEE International Conference on Data Engineering, ICDE 2022 …, 2022 | 4 | 2022 |
| Nearm: Natural language enhanced association rules mining S Ren, Z Li, H Wang, Y Li, K Shen, S Cheng [ICDMW'18] 2018 IEEE International Conference on Data Mining Workshops, 438-445, 2018 | 4 | 2018 |
| Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making X Fang*, S Cheng*, Y Liu, W Wang [ACL'23] Findings of the Proceedings of the 61st Annual Meeting of the …, 2023 | 2 | 2023 |
| Evolving Connectivity for Recurrent Spiking Neural Networks G Wang, Y Sun, S Cheng, S Song [NeurIPS'23] Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 1 | 2023 |
| StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models Z Guo, S Cheng, H Wang, S Liang, Y Qin, P Li, Z Liu, M Sun, Y Liu Under-Review, 2024 | | 2024 |
| DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning J Li, J Zheng, Y Zheng, L Mao, X Hu, S Cheng, H Niu, J Liu, Y Liu, J Liu, ... [ICML'24] The 41st International Conference on Machine Learning, 2024 | | 2024 |
| DEEM: Dynamic Experienced Expert Modeling for Stance Detection X Wang, Y Wang, S Cheng, P Li, Y Liu [LREC-COLING'24] The 2024 Joint International Conference on Computational …, 2024 | | 2024 |
| Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models Y Wang, S Cheng, Z Sun, P Li, Y Liu [ICLRW'24] ICLR 2024 AGI Workshop, 2024 | | 2024 |
| Offline Reinforcement Learning with Imbalanced Datasets L Jiang, S Cheng, J Qiu, H Xu, WK Chan, Z Ding [ICMLW'23] 2023 The Fortieth International Conference on Machine Learning …, 2023 | | 2023 |
Yang LiuGDS Professor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
