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2020 – today
- 2024
- [c36]Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro:
Retrieval meets Long Context Large Language Models. ICLR 2024 - [c35]Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro:
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. ICML 2024 - [c34]Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro:
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. ICML 2024 - [i42]Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro:
ChatQA: Building GPT-4 Level Conversational QA Models. CoRR abs/2401.10225 (2024) - [i41]Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro:
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. CoRR abs/2402.01831 (2024) - [i40]Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping:
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. CoRR abs/2405.17428 (2024) - [i39]Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin:
X-VILA: Cross-Modality Alignment for Large Language Model. CoRR abs/2405.19335 (2024) - [i38]Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024) - [i37]Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro:
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs. CoRR abs/2407.02485 (2024) - [i36]Peng Xu, Wei Ping, Xianchao Wu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro:
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. CoRR abs/2407.14482 (2024) - 2023
- [j2]Xiang Wang, Wei Ping, Ahmed Salah Al-Shati:
Numerical simulation of ozonation in hollow-fiber membranes for wastewater treatment. Eng. Appl. Artif. Intell. 123(Part B): 106380 (2023) - [c33]Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran:
Defending against Insertion-based Textual Backdoor Attacks via Attribution. ACL (Findings) 2023: 8818-8833 - [c32]Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu:
FlowGrad: Controlling the Output of Generative ODEs with Gradients. CVPR 2023: 24335-24344 - [c31]Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro:
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. EMNLP 2023: 7763-7786 - [c30]Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar:
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. EMNLP (Findings) 2023: 11844-11857 - [c29]Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon:
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. ICLR 2023 - [c28]Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao:
Defending against Adversarial Audio via Diffusion Model. ICLR 2023 - [c27]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. INTERSPEECH 2023: 790-794 - [i35]Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar:
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. CoRR abs/2302.04858 (2023) - [i34]Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao:
Defending against Adversarial Audio via Diffusion Model. CoRR abs/2303.01507 (2023) - [i33]Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro:
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. CoRR abs/2304.06762 (2023) - [i32]Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran:
Defending against Insertion-based Textual Backdoor Attacks via Attribution. CoRR abs/2305.02394 (2023) - [i31]Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro:
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. CoRR abs/2308.07922 (2023) - [i30]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. CoRR abs/2309.05975 (2023) - [i29]Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro:
Retrieval meets Long Context Large Language Models. CoRR abs/2310.03025 (2023) - [i28]Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro:
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. CoRR abs/2310.07713 (2023) - [i27]Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han:
VILA: On Pre-training for Visual Language Models. CoRR abs/2312.07533 (2023) - 2022
- [c26]Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro:
Multi-Stage Prompting for Knowledgeable Dialogue Generation. ACL (Findings) 2022: 1317-1337 - [c25]Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro:
Evaluating Parameter Efficient Learning for Generation. EMNLP 2022: 4824-4833 - [c24]Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro:
One TTS Alignment to Rule Them All. ICASSP 2022: 6092-6096 - [c23]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
Speech Denoising in the Waveform Domain With Self-Attention. ICASSP 2022: 7867-7871 - [c22]Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale Fung, Mohammad Shoeybi, Bryan Catanzaro:
Factuality Enhanced Language Models for Open-Ended Text Generation. NeurIPS 2022 - [c21]Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro:
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. NeurIPS 2022 - [i26]Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro:
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. CoRR abs/2202.04173 (2022) - [i25]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
Speech Denoising in the Waveform Domain with Self-Attention. CoRR abs/2202.07790 (2022) - [i24]Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro:
Multi-Stage Prompting for Knowledgeable Dialogue Generation. CoRR abs/2203.08745 (2022) - [i23]Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Factuality Enhanced Language Models for Open-Ended Text Generation. CoRR abs/2206.04624 (2022) - [i22]Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon:
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. CoRR abs/2206.04658 (2022) - [i21]Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan J. Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro:
Evaluating Parameter Efficient Learning for Generation. CoRR abs/2210.13673 (2022) - 2021
- [j1]Shi Shuyu, Si Wen, Ouyang Xiaoyi, Wei Ping:
Phase separation in synthetic biology. Quant. Biol. 9(4): 378-399 (2021) - [c20]Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro:
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. ACL/IJCNLP (1) 2021: 6648-6662 - [c19]Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro:
DiffWave: A Versatile Diffusion Model for Audio Synthesis. ICLR 2021 - [c18]Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro:
Long-Short Transformer: Efficient Transformers for Language and Vision. NeurIPS 2021: 17723-17736 - [i20]Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro:
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. CoRR abs/2101.00408 (2021) - [i19]Zhifeng Kong, Wei Ping:
On Fast Sampling of Diffusion Probabilistic Models. CoRR abs/2106.00132 (2021) - [i18]Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro:
Long-Short Transformer: Efficient Transformers for Language and Vision. CoRR abs/2107.02192 (2021) - [i17]Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro:
One TTS Alignment To Rule Them All. CoRR abs/2108.10447 (2021) - 2020
- [c17]Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao:
Non-Autoregressive Neural Text-to-Speech. ICML 2020: 7586-7598 - [c16]Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song:
WaveFlow: A Compact Flow-based Model for Raw Audio. ICML 2020: 7706-7716 - [i16]Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro:
DiffWave: A Versatile Diffusion Model for Audio Synthesis. CoRR abs/2009.09761 (2020) - [i15]Sashank Santhanam, Wei Ping, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro:
Local Knowledge Powered Conversational Agents. CoRR abs/2010.10150 (2020)
2010 – 2019
- 2019
- [c15]Wei Ping, Kainan Peng, Jitong Chen:
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. ICLR (Poster) 2019 - [i14]Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao:
Parallel Neural Text-to-Speech. CoRR abs/1905.08459 (2019) - [i13]Jihyun Park, Kexin Zhao, Kainan Peng, Wei Ping:
Multi-Speaker End-to-End Speech Synthesis. CoRR abs/1907.04462 (2019) - [i12]Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song:
WaveFlow: A Compact Flow-based Model for Raw Audio. CoRR abs/1912.01219 (2019) - 2018
- [c14]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. AISTATS 2018: 356-365 - [c13]Jiaji Huang, Yi Li, Wei Ping, Liang Huang:
Large Margin Neural Language Model. EMNLP 2018: 1183-1191 - [c12]Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller:
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. ICLR (Poster) 2018 - [c11]Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou:
Neural Voice Cloning with a Few Samples. NeurIPS 2018: 10040-10050 - [i11]Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou:
Neural Voice Cloning with a Few Samples. CoRR abs/1802.06006 (2018) - [i10]Yi Li, Wei Ping:
Cancer Metastasis Detection With Neural Conditional Random Field. CoRR abs/1806.07064 (2018) - [i9]Wei Ping, Kainan Peng, Jitong Chen:
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. CoRR abs/1807.07281 (2018) - [i8]Jiaji Huang, Yi Li, Wei Ping, Liang Huang:
Large Margin Neural Language Model. CoRR abs/1808.08987 (2018) - 2017
- [c10]Wei Ping, Alexander Ihler:
Belief Propagation in Conditional RBMs for Structured Prediction. AISTATS 2017: 1141-1149 - [c9]Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou:
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS 2017: 2962-2970 - [i7]Wei Ping, Alexander Ihler:
Belief Propagation in Conditional RBMs for Structured Prediction. CoRR abs/1703.00986 (2017) - [i6]Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou:
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR abs/1705.08947 (2017) - [i5]Wei Ping, Qiang Liu, Alexander Ihler:
Learning Infinite RBMs with Frank-Wolfe. CoRR abs/1710.05270 (2017) - [i4]Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller:
Deep Voice 3: 2000-Speaker Neural Text-to-Speech. CoRR abs/1710.07654 (2017) - [i3]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. CoRR abs/1712.09783 (2017) - 2016
- [b1]Wei Ping:
Learning and Inference in Latent Variable Graphical Models. University of California, Irvine, USA, 2016 - [c8]Wei Ping, Qiang Liu, Alexander Ihler:
Learning Infinite RBMs with Frank-Wolfe. NIPS 2016: 3063-3071 - 2015
- [c7]Wei Ping, Qiang Liu, Alexander Ihler:
Decomposition Bounds for Marginal MAP. NIPS 2015: 3267-3275 - [i2]Wei Ping, Qiang Liu, Alexander Ihler:
Decomposition Bounds for Marginal MAP. CoRR abs/1511.02619 (2015) - 2014
- [c6]Wei Ping, Qiang Liu, Alexander Ihler:
Marginal Structured SVM with Hidden Variables. ICML 2014: 190-198 - [i1]Wei Ping, Qiang Liu, Alexander Ihler:
Marginal Structured SVM with Hidden Variables. CoRR abs/1409.1320 (2014) - 2011
- [c5]Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao:
TAKES: a fast method to select features in the kernel space. CIKM 2011: 683-692 - [c4]Ye Xu, Wei Ping, Andrew T. Campbell:
Multi-instance Metric Learning. ICDM 2011: 874-883 - [c3]Yang Cai, Linjun Yang, Wei Ping, Fei Wang, Tao Mei, Xian-Sheng Hua, Shipeng Li
:
Million-scale near-duplicate video retrieval system. ACM Multimedia 2011: 837-838 - [c2]Wei Ping, Ye Xu, Jianyong Wang, Xian-Sheng Hua:
FAMER: Making Multi-Instance Learning Better and Faster. SDM 2011: 594-605 - 2010
- [c1]Wei Ping, Ye Xu, Kexin Ren, Chi-Hung Chi, Furao Shen:
Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace. AAAI 2010: 551-556
Coauthor Index
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