Ping, Wei

DiffWave: A Versatile Diffusion Model for Audio Synthesis

Kong, Z., Ping, W., Huang, J., Zhao, K., & Catanzaro, B. (2020) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 569

Deep voice 3: scaling text-to-speech with convolutional sequence learning

Ping, W., Peng, K., Gibiansky, A., Arik, S. O., Kannan, A., Narang, S., Raiman, J., & Miller, J. (2017) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 313

On Fast Sampling of Diffusion Probabilistic Models

Kong, Z., & Ping, W. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 79

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

Yu, Y., Ping, W., Liu, Z., Wang, B., You, J., Zhang, C., Shoeybi, M., & Catanzaro, B. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingInformation Retrieval and Search Behavior

Cited by 47

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

Wang, B., Ping, W., Xu, P., McAfee, L., Liu, Z., Shoeybi, M., Dong, Y., Kuchaiev, O., Li, B., Xiao, C., et al. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 21

Retrieval meets Long Context Large Language Models

Xu, P., Ping, W., Wu, X., McAfee, L., Zhu, C., Liu, Z., Subramanian, S., Bakhturina, E., Shoeybi, M., & Catanzaro, B. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 20

ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Xu, P., Ping, W., Wu, X., Xu, C., Liu, Z., Shoeybi, M., & Catanzaro, B. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 13