Zeng, Michael

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Chen, S., Wang, C., Chen, Z., Wu, Y., Liu, S., Chen, Z., Li, J., Kanda, N., Yoshioka, T., Xiao, X., et al. (2022) · IEEE Journal of Selected Topics in Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,926

Florence: A New Foundation Model for Computer Vision

Yuan, L., Chen, D., Chen, Y.-L., Codella, N., Dai, X., Gao, J., Hu, H., Huang, X., Li, B., Li, C., et al. (2021) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 389

Automatic Prompt Optimization with “Gradient Descent” and Beam Search

Pryzant, R., Iter, D., Li, J., Lee, Y., Zhu, C., & Zeng, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 191

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Pryzant, R., Iter, D., Li, J., Lee, Y. T., Zhu, C., & Zeng, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 191

Enhancing Factual Consistency of Abstractive Summarization

Zhu, C., Hinthorn, W., Xu, R., Zeng, Q., Zeng, M., Huang, X., & Jiang, M. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 127

CLIP-Event: Connecting Text and Images with Event Structures

Li, M., Xu, R., Wang, S., Zhou, L., Lin, X., Zhu, C., Zeng, M., Ji, H., & Chang, S.-F. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 117

Large-Scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification

Chen, Z., Chen, S., Wu, Y., Qian, Y., Wang, C., Liu, S., Qian, Y., & Zeng, M. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 112

Generate rather than Retrieve: Large Language Models are Strong Context Generators

Yu, W., Iter, D., Wang, S., Xu, Y., Ju, M., Sanyal, S., Zhu, C., Zeng, M., & Jiang, M. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 95

Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization

Gunel, B., Zhu, C., Zeng, M., & Huang, X. (2020) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 28