| Generating natural language adversarial examples through probability weighted word saliency S Ren, Y Deng, K He, W Che ACL 2019, 2019 | 801 | 2019 |
| MIT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning L Li, Y Yin, S Li, L Chen, P Wang, S Ren, M Li, Y Yang, J Xu, X Sun, ... arXiv preprint arXiv:2306.04387, 2023 | 154* | 2023 |
| Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis C Fu, Y Dai, Y Luo, L Li, S Ren, R Zhang, Z Wang, C Zhou, Y Shen, ... arXiv preprint arXiv:2405.21075, 2024 | 136 | 2024 |
| TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding S Ren, L Yao, S Li, X Sun, L Hou CVPR 2024, 2023 | 125 | 2023 |
| FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation Y Liu, L Li, S Ren, R Gao, S Li, S Chen, X Sun, L Hou NeurIPS 2023 (Datasets and Benchmarks Track), 2023 | 51 | 2023 |
| TempCompass: Do Video LLMs Really Understand Videos? Y Liu, S Li, Y Liu, Y Wang, S Ren, L Li, S Chen, X Sun, L Hou Findings of ACL 2024, 2024 | 49 | 2024 |
| PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain L Chen, Y Zhang, S Ren, H Zhao, Z Cai, Y Wang, P Wang, X Meng, T Liu, ... Findings of ACL 2024, 2024 | 48* | 2024 |
| CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade L Li, Y Lin, D Chen, S Ren, P Li, J Zhou, X Sun Findings of EMNLP 2021, 2021 | 47* | 2021 |
| Dynamic Knowledge Distillation for Pre-trained Language Models L Li, Y Lin, S Ren, P Li, J Zhou, X Sun EMNLP 2021, 2021 | 45 | 2021 |
| Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification S Ren, J Zhang, L Li, X Sun, J Zhou EMNLP 2021, 2021 | 38 | 2021 |
| Learning Relation Alignment for Calibrated Cross-modal Retrieval S Ren, J Lin, G Zhao, R Men, A Yang, J Zhou, X Sun, H Yang ACL 2021, 2021 | 33 | 2021 |
| Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition S Ren, A Zhang, Y Zhu, S Zhang, S Zheng, M Li, A Smola, X Sun NeurIPS 2023, 2023 | 27 | 2023 |
| Delving into the Openness of CLIP S Ren, L Li, X Ren, G Zhao, X Sun Findings of ACL 2023, 2022 | 20* | 2022 |
| DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models L Yao, L Li, S Ren, L Wang, Y Liu, X Sun, L Hou arXiv preprint arXiv:2405.20985, 2024 | 19 | 2024 |
| TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding S Ren, S Chen, S Li, X Sun, L Hou Findings of EMNLP 2023, 2023 | 19 | 2023 |
| Cuge: A chinese language understanding and generation evaluation benchmark Y Yao, Q Dong, J Guan, B Cao, Z Zhang, C Xiao, X Wang, F Qi, J Bao, ... arXiv preprint arXiv:2112.13610, 2021 | 16 | 2021 |
| Vitatecs: A diagnostic dataset for temporal concept understanding of video-language models S Li, L Li, S Ren, Y Liu, Y Liu, R Gao, X Sun, L Hou ECCV 2024, 2023 | 14 | 2023 |
| DCA: Diversified Co-Attention towards Informative Live Video Commenting Z Zhang, Z Yin, S Ren, X Li, S Li NLPCC 2020, 2020 | 14 | 2020 |
| LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? Y Wang, S Ren, R Gao, L Yao, Q Guo, K An, J Bai, X Sun NAACL 2024, 2024 | 4 | 2024 |
| Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey L Chen, Z Wang, S Ren, L Li, H Zhao, Y Li, Z Cai, H Guo, L Zhang, ... arXiv preprint arXiv:2412.18619, 2024 | 2 | 2024 |
Xu SunAssociate Professor, Peking University在 pku.edu.cn 的电子邮件经过验证