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Chenliang Li
Chenliang Li
Alibaba Inc.
Verified email at alibaba-inc.com
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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
8282023
mplug: Effective and efficient vision-language learning by cross-modal skip-connections
C Li, H Xu, J Tian, W Wang, M Yan, B Bi, J Ye, H Chen, G Xu, Z Cao, ...
arXiv preprint arXiv:2205.12005, 2022
178*2022
Guiding generation for abstractive text summarization based on key information guide network
C Li, W Xu, S Li, S Gao
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
1662018
StructuralLM: Structural pre-training for form understanding
C Li, B Bi, M Yan, W Wang, S Huang, F Huang, L Si
arXiv preprint arXiv:2105.11210, 2021
1302021
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
arXiv preprint arXiv:2302.00402 3, 2023
1292023
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
arXiv preprint arXiv:2106.01804, 2021
1192021
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, ...
arXiv preprint arXiv:2310.05126, 2023
1132023
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
1092023
Palm: Pre-training an autoencoding&autoregressive language model for context-conditioned generation
B Bi, C Li, C Wu, M Yan, W Wang, S Huang, F Huang, L Si
arXiv preprint arXiv:2004.07159, 2020
762020
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
572022
Incorporating external knowledge into machine reading for generative question answering
B Bi, C Wu, M Yan, W Wang, J Xia, C Li
arXiv preprint arXiv:1909.02745, 2019
512019
Small llms are weak tool learners: A multi-llm agent
W Shen, C Li, H Chen, M Yan, X Quan, H Chen, J Zhang, F Huang
arXiv preprint arXiv:2401.07324, 2024
332024
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
Proceedings of the 32nd ACM International Conference on Multimedia, 6929-6938, 2024
302024
Multi-task learning for abstractive text summarization with key information guide network
W Xu, C Li, M Lee, C Zhang
EURASIP Journal on Advances in Signal Processing 2020, 1-11, 2020
302020
Modelscope-agent: Building your customizable agent system with open-source large language models
C Li, H Chen, M Yan, W Shen, H Xu, Z Wu, Z Zhang, W Zhou, Y Chen, ...
arXiv preprint arXiv:2309.00986, 2023
252023
Addressing semantic drift in generative question answering with auxiliary extraction
C Li, B Bi, M Yan, W Wang, S Huang
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
252021
Bin Bi, Wei Wang, Jiangnan Xia, and Luo Si. 2019. IDST at TREC 2019 deep learning track: Deep cascade ranking with generation-based document expansion and pre-trained language …
M Yan, C Li, C Wu
Proceedings of the Twenty-Eighth Text REtrieval Conference, TREC, 13-15, 2019
252019
SemVLP: Vision-language pre-training by aligning semantics at multiple levels
C Li, M Yan, H Xu, F Luo, W Wang, B Bi, S Huang
arXiv preprint arXiv:2103.07829, 2021
232021
IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling.
M Yan, C Li, C Wu, B Bi, W Wang, J Xia, L Si
TREC, 2019
222019
Youku-mplug: A 10 million large-scale chinese video-language dataset for pre-training and benchmarks
H Xu, Q Ye, X Wu, M Yan, Y Miao, J Ye, G Xu, A Hu, Y Shi, G Xu, C Li, ...
arXiv preprint arXiv:2306.04362, 2023
212023
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