| 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 | 152 | 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 | 53 | 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 | 44* | 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 | 32 | 2023 |
| 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 | 15 | 2022 |
| 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 | 13 | 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 | 9 | 2023 |
| EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models S Cheng*, Z Guo*, J Wu*, K Fang, P Li, H Liu, Y Liu [CVPR'24] Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2024 | 8* | 2024 |
| 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 [ACL'24] Findings of the Proceedings of the 62st Annual Meeting of the …, 2024 | 7 | 2024 |
| ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models C Ge, S Cheng, Z Wang, J Yuan, Y Gao, J Song, S Song, G Huang, ... Under-Review, 2024 | 6 | 2024 |
| 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 | 6 | 2022 |
| 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 | 5 | 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 |
| 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 | 4 | 2023 |
| 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 |
| 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, ICMLW'24 (MFM-EAI) Outstanding Paper] The 41st International …, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
| 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 | 2 | 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 | 1 | 2024 |
| Instruction-Guided Visual Masking J Zheng, J Li, S Cheng, Y Zheng, J Li, J Liu, Y Liu, J Liu, X Zhan [ICMLW'24 (MFM-EAI) Outstanding Paper] ICML 2024 Multi-modal Foundation …, 2024 | | 2024 |
Yang LiuGDS Professor, Tsinghua UniversityBestätigte E-Mail-Adresse bei tsinghua.edu.cn
