Yuan Cao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 57

Top Topics

Machine Translation

Speech Synthesis

Top Venues

Publications

Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. ICRA (2024)
Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey
Retrieval Augmented End-to-End Spoken Dialog Models. CoRR (2024)
Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey
Retrieval Augmented End-to-End Spoken Dialog Models. ICASSP (2024)
Hagen Soltau, Izhak Shafran, Mingqiu Wang, Abhinav Rastogi, Jeffrey Zhao, Ye Jia, Wei Han, Yuan Cao, Aramys Miranda
Speech Aware Dialog System Technology Challenge (DSTC11). INTERSPEECH (2023)
Jeffrey Zhao, Yuan Cao, Raghav Gupta, Harrison Lee, Abhinav Rastogi, Mingqiu Wang, Hagen Soltau, Izhak Shafran, Yonghui Wu
AnyTOD: A Programmable Task-Oriented Dialog System. EMNLP (2023)
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, Karthik Narasimhan
Tree of Thoughts: Deliberate Problem Solving with Large Language Models. NeurIPS (2023)
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R. Narasimhan, Yuan Cao
ReAct: Synergizing Reasoning and Acting in Language Models. ICLR (2023)
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan
Tree of Thoughts: Deliberate Problem Solving with Large Language Models. CoRR (2023)
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
MUX-PLMs: Pre-training Language Models with Data Multiplexing. RepL4NLP@ACL (2023)
Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Yongqiang Wang, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Zhong Meng, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu
SLM: Bridge the thin gap between speech and text foundation models. CoRR (2023)
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
MUX-PLMs: Pre-training Language Models with Data Multiplexing. CoRR (2023)
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
MUX-PLMs: Data Multiplexing for High-throughput Language Models. EMNLP (Findings) (2023)
Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu
SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. ASRU (2023)
Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey
Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding. CoRR (2023)
Raghav Gupta, Harrison Lee, Jeffrey Zhao, Yuan Cao, Abhinav Rastogi, Yonghui Wu
Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue. NAACL-HLT (2022)
Dian Yu, Mingqiu Wang, Yuan Cao, Laurent El Shafey, Izhak Shafran, Hagen Soltau
Knowledge-grounded Dialog State Tracking. EMNLP (Findings) (2022)
Dian Yu, Mingqiu Wang, Yuan Cao, Izhak Shafran, Laurent El Shafey, Hagen Soltau
Unsupervised Slot Schema Induction for Task-oriented Dialog. NAACL-HLT (2022)
Bowen Liang, Pidong Wang, Yuan Cao
The Implicit Length Bias of Label Smoothing on Beam Search Decoding. CoRR (2022)
Dian Yu, Mingqiu Wang, Yuan Cao, Izhak Shafran, Laurent El Shafey, Hagen Soltau
Knowledge-grounded Dialog State Tracking. CoRR (2022)
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao
ReAct: Synergizing Reasoning and Acting in Language Models. CoRR (2022)
Dian Yu, Mingqiu Wang, Yuan Cao, Izhak Shafran, Laurent El Shafey, Hagen Soltau
Unsupervised Slot Schema Induction for Task-oriented Dialog. CoRR (2022)
Aditya Siddhant, Ankur Bapna, Orhan Firat, Yuan Cao, Mia Xu Chen, Isaac Caswell, Xavier Garcia
Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning. CoRR (2022)
Raghav Gupta, Harrison Lee, Jeffrey Zhao, Abhinav Rastogi, Yuan Cao, Yonghui Wu
Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue. CoRR (2022)
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. ICLR (2022)
Yong Cheng, Ankur Bapna, Orhan Firat, Yuan Cao, Pidong Wang, Wolfgang Macherey
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation. CoRR (2022)
Yong Cheng, Ankur Bapna, Orhan Firat, Yuan Cao, Pidong Wang, Wolfgang Macherey
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation. ACL (1) (2022)
Ankur Bapna, Isaac Caswell, Julia Kreutzer, Orhan Firat, Daan van Esch, Aditya Siddhant, Mengmeng Niu, Pallavi Baljekar, Xavier Garcia, Wolfgang Macherey, Theresa Breiner, Vera Axelrod, Jason Riesa, Yuan Cao, Mia Xu Chen, Klaus Macherey, Maxim Krikun, Pidong Wang, Alexander Gutkin, Apurva Shah, Yanping Huang, Zhifeng Chen, Yonghui Wu, Macduff Hughes
Building Machine Translation Systems for the Next Thousand Languages. CoRR (2022)
Jeffrey Zhao, Raghav Gupta, Yuan Cao, Dian Yu, Mingqiu Wang, Harrison Lee, Abhinav Rastogi, Izhak Shafran, Yonghui Wu
Description-Driven Task-Oriented Dialog Modeling. CoRR (2022)
Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems. AAAI (2022)
Shen Yan, Tao Zhu, Zirui Wang, Yuan Cao, Mi Zhang, Soham Ghosh, Yonghui Wu, Jiahui Yu
Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners. CoRR (2022)
Ye Zhang, Yuan Cao, Mahdis Mahdieh, Jeffrey Zhao, Yonghui Wu
Improving Longer-range Dialogue State Tracking. CoRR (2021)
Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. ICLR (2021)
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. CoRR (2021)
Zirui Wang, Adams Wei Yu, Orhan Firat, Yuan Cao
Towards Zero-Label Language Learning. CoRR (2021)
Jeffrey Zhao, Mahdis Mahdieh, Ye Zhang, Yuan Cao, Yonghui Wu
Effective Sequence-to-Sequence Dialogue State Tracking. EMNLP (1) (2021)
Jeffrey Zhao, Mahdis Mahdieh, Ye Zhang, Yuan Cao, Yonghui Wu
Effective Sequence-to-Sequence Dialogue State Tracking. CoRR (2021)
Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems. CoRR (2021)
Mahdis Mahdieh, Mia Xu Chen, Yuan Cao, Orhan Firat
Rapid Domain Adaptation for Machine Translation with Monolingual Data. CoRR (2020)
Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Andrew Rosenberg, Bhuvana Ramabhadran, Yonghui Wu
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior. CoRR (2020)
Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Andrew Rosenberg, Bhuvana Ramabhadran, Yonghui Wu
Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior. ICASSP (2020)
Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Yonghui Wu
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis. CoRR (2020)
Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. CoRR (2020)
Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. ACL (2020)
Yuan Cao, Sanjeev Khudanpur
Sample Selection for Large-scale MT Discriminative Training. AMTA (2020)
Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Yonghui Wu
Fully-Hierarchical Fine-Grained Prosody Modeling For Interpretable Speech Synthesis. ICASSP (2020)
Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. CoRR (2020)
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George F. Foster, Colin Cherry, Wolfgang Macherey, Zhifeng Chen, Yonghui Wu
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges. CoRR (2019)
Ye Jia, Melvin Johnson, Wolfgang Macherey, Ron J. Weiss, Yuan Cao, Chung-Cheng Chiu, Naveen Ari, Stella Laurenzo, Yonghui Wu
Leveraging Weakly Supervised Data to Improve End-to-end Speech-to-text Translation. ICASSP (2019)
Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR (2019)
Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu
Gmail Smart Compose: Real-Time Assisted Writing. CoRR (2019)
Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu
Gmail Smart Compose: Real-Time Assisted Writing. KDD (2019)
Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang
Hierarchical Generative Modeling for Controllable Speech Synthesis. ICLR (Poster) (2019)
Ye Jia, Melvin Johnson, Wolfgang Macherey, Ron J. Weiss, Yuan Cao, Chung-Cheng Chiu, Naveen Ari, Stella Laurenzo, Yonghui Wu
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation. CoRR (2018)
Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu
Training Deeper Neural Machine Translation Models with Transparent Attention. CoRR (2018)
Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu
Training Deeper Neural Machine Translation Models with Transparent Attention. EMNLP (2018)
Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang
Hierarchical Generative Modeling for Controllable Speech Synthesis. CoRR (2018)
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. CoRR (2016)
Matt Post, Yuan Cao, Gaurav Kumar
Joshua 6: A phrase-based and hierarchical statistical machine translation system. Prague Bull. Math. Linguistics 104 (2015)
Yuan Cao, Sanjeev Khudanpur
Online Learning in Tensor Space. ACL (1) (2014)
Gaurav Kumar, Yuan Cao, Ryan Cotterell, Chris Callison-Burch, Daniel Povey, Sanjeev Khudanpur
Translations of the Callhome Egyptian Arabic corpus for conversational speech translation. IWSLT (2014)
Arda Çelebi, Hasim Sak, Erinç Dikici, Murat Saraclar, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos G. Karakos, Sanjeev Khudanpur, Brian Roark, Kenji Sagae, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley
Semi-supervised discriminative language modeling for Turkish ASR. ICASSP (2012)
Puyang Xu, Sanjeev Khudanpur, Maider Lehr, Emily Tucker Prud'hommeaux, Nathan Glenn, Damianos G. Karakos, Brian Roark, Kenji Sagae, Murat Saraclar, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley
Continuous space discriminative language modeling. ICASSP (2012)
Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos G. Karakos, Sanjeev Khudanpur, Brian Roark, Murat Saraclar, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley
Hallucinated n-best lists for discriminative language modeling. ICASSP (2012)
Damianos G. Karakos, Brian Roark, Izhak Shafran, Kenji Sagae, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Sanjeev Khudanpur, Murat Saraclar, Daniel M. Bikel, Mark Dredze, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley
Deriving conversation-based features from unlabeled speech for discriminative language modeling. INTERSPEECH (2012)
Antti-Veikko I. Rosti, Xiaodong He, Damianos G. Karakos, Gregor Leusch, Yuan Cao, Markus Freitag, Spyros Matsoukas, Hermann Ney, Jason Smith, Bing Zhang
Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding. WMT@NAACL-HLT (2012)
Daguang Xu, Yuan Cao, Damianos G. Karakos
Description of the JHU System Combination Scheme for WMT 2011. WMT@EMNLP (2011)