| mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality. Q Ye, H Xu, G Xu, J Ye, M Yan, Y Zhou, J Wang, A Hu, P Shi, Y Shi, C Li, ... arXiv preprint arXiv:2304.14178, 2023 | 842 | 2023 |
| mPLUG-Owl2: Revolutionizing multi-modal large language model with modality collaboration Q Ye, H Xu, J Ye, M Yan, H Liu, Q Qian, J Zhang, F Huang, J Zhou CVPR2024 Highlight, 2023 | 331 | 2023 |
| Learning alignment for multimodal emotion recognition from speech H Xu, H Zhang, K Han, Y Wang, Y Peng, X Li InterSpeech2019, 2019 | 181 | 2019 |
| mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections C Li, H Xu, J Tian, W Wang, M Yan, ... EMNLP2022, 2022 | 160* | 2022 |
| mPLUG-2: A modularized multi-modal foundation model across text, image and video H Xu, Q Ye, M Yan, Y Shi, J Ye, Y Xu, C Li International Conference on Machine Learning, ICML, 23-29, 2023 | 148* | 2023 |
| E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning H Xu, M Yan, C Li, B Bi, S Huang, W Xiao, F Huang ACL2021 Oral, 2021 | 119 | 2021 |
| UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model J Ye, A Hu, H Xu, Q Ye, M Yan, G Xu, C Li, J Tian, Q Qian, J Zhang, Q Jin, ... EMNLP2023, 2023 | 113 | 2023 |
| mPLUG-DocOwl: Modularized multimodal large language model for document understanding J Ye, A Hu, H Xu, Q Ye, M Yan, Y Dan, C Zhao, G Xu, C Li, J Tian, Q Qi, ... arXiv preprint arXiv:2307.02499, 2023 | 109 | 2023 |
| Evaluation and analysis of hallucination in large vision-language models J Wang, Y Zhou, G Xu, P Shi, C Zhao, H Xu, Q Ye, M Yan, J Zhang, J Zhu, ... arXiv preprint arXiv:2308.15126, 2023 | 106 | 2023 |
| Neural Topic Modeling with Bidirectional Adversarial Training R Wang, X Hu, D Zhou, Y He, Y Xiong, C Ye, H Xu ACL2020, 2020 | 100 | 2020 |
| mPLUG-DocOwl 1.5: Unified structure learning for ocr-free document understanding A Hu, H Xu, J Ye, M Yan, L Zhang, B Zhang, C Li, J Zhang, Q Jin, F Huang, ... EMNLP2024, 2024 | 80 | 2024 |
| An llm-free multi-dimensional benchmark for mllms hallucination evaluation J Wang, Y Wang, G Xu, J Zhang, Y Gu, H Jia, H Xu, M Yan, J Zhang, ... arXiv preprint arXiv:2311.07397, 2023 | 80 | 2023 |
| Hitea: Hierarchical temporal-aware video-language pre-training Q Ye, G Xu, M Yan, H Xu, Q Qian, J Zhang, F Huang ICCV2023, 2022 | 75 | 2022 |
| 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, ... CVPR2024, 2023 | 70 | 2023 |
| Mobile-Agent: Autonomous multi-modal mobile device agent with visual perception J Wang, H Xu, J Ye, M Yan, W Shen, J Zhang, F Huang, J Sang ICLR2024 Workshop on Large Language Model (LLM) Agents, 2024 | 66 | 2024 |
| Bin Bi, Jiabo Ye, Hehong Chen, Guohai Xu, Zheng Cao, et al. mplug: Effective and efficient vision-language learning by cross-modal skip-connections C Li, H Xu, J Tian, W Wang, M Yan arXiv preprint arXiv:2205.12005 1 (2), 2022 | 57 | 2022 |
| mPLUG-Owl3: Towards long image-sequence understanding in multi-modal large language models J Ye, H Xu, H Liu, A Hu, M Yan, Q Qian, J Zhang, F Huang, J Zhou ICLR2025, 2024 | 49 | 2024 |
| EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching Y Shi, X Yang, H Xu, C Yuan, B Li, W Hu, ZJ Zha CVPR2022, 2021 | 41 | 2021 |
| An unsupervised Bayesian modelling approach for storyline detection on news articles D Zhou, H Xu, Y He EMNLP2015, 1943-1948, 2015 | 31 | 2015 |
| mPLUG-PaperOwl: Scientific diagram analysis with the multimodal large language model A Hu, Y Shi, H Xu, J Ye, Q Ye, M Yan, C Li, Q Qian, J Zhang, F Huang MM2024, 2023 | 30 | 2023 |
Fei HuangCarnegie Mellon University, IBM Research, Facebook, Alibaba DAMO Academy確認したメール アドレス: alibaba-inc.com