Yong Cheng

According to our database, Yong Cheng authored at least 43 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

MedGemma 1.5 Technical Report.

Andrew Sellergren, Chufan Gao, Fereshteh Mahvar, Timo Kohlberger, Fayaz Jamil, Madeleine Traverse, Alberto Tono, Bashir Sadjad, Lin Yang, Charles Lau, Liron Yatziv, Tiffany L. Chen, Bram Sterling, Kenneth Philbrick, Richa Tiwari, Yun Liu, Madhuram Jajoo, Chandrashekar Sankarapu, Swapnil Vispute, Harshad Purandare, Abhishek Bijay Mishra, Samuel Schmidgall, Tao Tu, Anil Palepu, Chunjong Park, Tim Strother, Rahul Thapa, Yong Cheng, Preeti Singh, Kat Black, Yossi Matias, Katherine Chou, Avinatan Hassidim, Kavi Goel, Joelle K. Barral, Tris Warkentin, Shravya Shetty, Dale R. Webster, Sunny Virmani, David F. Steiner, Can Kirmizibayrak, Daniel Golden

CoRR, April, 2026

2025

Encoder-Decoder or Decoder-Only? Revisiting Encoder-Decoder Large Language Model.

Biao Zhang, Yong Cheng, Siamak Shakeri, Xinyi Wang, Min Ma, Orhan Firat

CoRR, October, 2025

Complementary Human-AI Clinical Reasoning in Ophthalmology.

Mertcan Sevgi, Fares Antaki, Abdullah Zafar Khan, Ariel Yuhan Ong, David Adrian Merle, Kuang Hu, Shafi Balal, Sophie-Christin Kornelia Ernst, Josef Huemer, Gabriel T. Kaufmann, Hagar Khalid, Faye Levina, Celeste Limoli, Ana Paula Ribeiro Reis, Samir Touma, Anil Palepu, Khaled Saab, Ryutaro Tanno, Valentin Liévin, Tao Tu, Yong Cheng, Mike Schaekermann, S. Sara Mahdavi, Elahe Vedadi, David Stutz, Vivek Natarajan, Alan Karthikesalingam, Pearse A. Keane, Wei-Hung Weng

CoRR, October, 2025

Advancing Conversational Diagnostic AI with Multimodal Reasoning.

Khaled Saab, Jan Freyberg, Chunjong Park, Tim Strother, Yong Cheng, Wei-Hung Weng, David G. T. Barrett, David Stutz, Nenad Tomasev, Anil Palepu, Valentin Liévin, Yash Sharma, Roma Ruparel, Abdullah Ahmed, Elahe Vedadi, Kimberly Kanada, Cían Hughes, Yun Liu, Geoff Brown, Yang Gao, Sean Li, S. Sara Mahdavi, James Manyika, Katherine Chou, Yossi Matias, Avinatan Hassidim, Dale R. Webster, Pushmeet Kohli, S. M. Ali Eslami, Joelle K. Barral, Adam Rodman, Vivek Natarajan, Mike Schaekermann, Tao Tu, Alan Karthikesalingam, Ryutaro Tanno

CoRR, May, 2025

Towards Conversational AI for Disease Management.

Anil Palepu, Valentin Liévin, Wei-Hung Weng, Khaled Saab, David Stutz, Yong Cheng, Kavita Kulkarni, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Katherine Chou, Avinatan Hassidim, Yossi Matias, James Manyika, Ryutaro Tanno, Vivek Natarajan, Adam Rodman, Tao Tu, Alan Karthikesalingam, Mike Schaekermann

CoRR, March, 2025

2024

Exploring Large Language Models for Specialist-level Oncology Care.

Anil Palepu, Vikram Dhillon, Polly Niravath, Wei-Hung Weng, Preethi Prasad, Khaled Saab, Ryutaro Tanno, Yong Cheng, Hanh Mai, Ethan Burns, Zainub Ajmal, Kavita Kulkarni, Philip Mansfield, Dale R. Webster, Joelle K. Barral, Juraj Gottweis, Mike Schaekermann, S. Sara Mahdavi, Vivek Natarajan, Alan Karthikesalingam, Tao Tu

CoRR, 2024

Towards Democratization of Subspeciality Medical Expertise.

Jack W. O'Sullivan, Anil Palepu, Khaled Saab, Wei-Hung Weng, Yong Cheng, Emily Chu, Yaanik Desai, Aly Elezaby, Daniel Seung Kim, Roy Lan, Wilson Tang, Natalie Tapaskar, Victoria Parikh, Sneha S. Jain, Kavita Kulkarni, Philip Mansfield, Dale R. Webster, Juraj Gottweis, Joelle K. Barral, Mike Schaekermann, Ryutaro Tanno, S. Sara Mahdavi, Vivek Natarajan, Alan Karthikesalingam, Euan A. Ashley, Tao Tu

CoRR, 2024

Understanding the performance gap between online and offline alignment algorithms.

Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Yuan Cao, Eugene Tarassov, Rémi Munos, Bernardo Ávila Pires, Michal Valko, Yong Cheng, Will Dabney

CoRR, 2024

Capabilities of Gemini Models in Medicine.

Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2024

Towards Conversational Diagnostic AI.

Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S. Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2024

VideoPoet: A Large Language Model for Zero-Shot Video Generation.

Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Model Beats Diffusion - Tokenizer is key to visual generation.

Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Towards Accurate Differential Diagnosis with Large Language Models.

Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, Le Hou, Yong Cheng, Yun Liu, S. Sara Mahdavi, Sushant Prakash, Anupam Pathak, Christopher Semturs, Shwetak N. Patel, Dale R. Webster, Ewa Dominowska, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Jake Sunshine, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2023

PaLM 2 Technical Report.

Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.

CoRR, 2023

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs.

Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mu²SLAM: Multitask, Multilingual Speech and Language Models.

Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna

Proceedings of the International Conference on Machine Learning, 2023

MAGVIT: Masked Generative Video Transformer.

Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Multilingual and Code-Switching ASR Using Large Language Model Generated Text.

Ke Hu, Tara N. Sainath, Bo Li, Yu Zhang, Yong Cheng, Tao Wang, Yujing Zhang, Frederick Liu

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

mSLAM: Massively multilingual joint pre-training for speech and text.

Ankur Bapna, Colin Cherry, Yu Zhang, Ye Jia, Melvin Johnson, Yong Cheng, Simran Khanuja, Jason Riesa, Alexis Conneau

CoRR, 2022

Examining Scaling and Transfer of Language Model Architectures for Machine Translation.

Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat

Proceedings of the International Conference on Machine Learning, 2022

Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation.

Yong Cheng, Ankur Bapna, Orhan Firat, Yuan Cao, Pidong Wang, Wolfgang Macherey

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Self-supervised and Supervised Joint Training for Resource-rich Machine Translation.

Yong Cheng, Wei Wang, Lu Jiang, Wolfgang Macherey

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Towards Web-based Etymological Hanzi Learning.

Yong Cheng, Sijia Ma, Jun Chen, Yingying Zhao, Yaolin Chen, Jingtao Wang, Jia Xing, Wenhui Guo, Yushi Jing, Genze Wu, Wenli Zhu

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Living Jiagu: Enabling Constructive Etymology for Chinese Learning.

Yong Cheng, Sijia Ma, Jun Chen, Wenhui Guo, Yingying Zhao, Yaolin Chen, Jingtao Wang, Yushi Jing, Wenli Zhu

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

AdvAug: Robust Adversarial Augmentation for Neural Machine Translation.

Yong Cheng, Lu Jiang, Wolfgang Macherey, Jacob Eisenstein

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

An End-to-End Generative Architecture for Paraphrase Generation.

Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach.

Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Robust Neural Machine Translation with Doubly Adversarial Inputs.

Yong Cheng, Lu Jiang, Wolfgang Macherey

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Joint Training for Neural Machine Translation

Yong Cheng

Springer, ISBN: 978-981-32-9747-0, 2019

2018

Neural Machine Translation with Key-Value Memory-Augmented Attention.

Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Robust Neural Machine Translation.

Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Neural Parse Combination.

Liner Yang, Maosong Sun, Yong Cheng, Jiacheng Zhang, Zhenghao Liu, Huan-Bo Luan, Yang Liu

J. Comput. Sci. Technol., 2017

THUMT: An Open Source Toolkit for Neural Machine Translation.

Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen, Yong Cheng, Maosong Sun, Huan-Bo Luan, Yang Liu

CoRR, 2017

HiText: Text Reading with Dynamic Salience Marking.

Qian Yang, Gerard de Melo, Yong Cheng, Sen Wang

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Maximum Expected Likelihood Estimation for Zero-resource Neural Machine Translation.

Hao Zheng, Yong Cheng, Yang Liu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Joint Training for Pivot-based Neural Machine Translation.

Yong Cheng, Qian Yang, Yang Liu, Maosong Sun, Wei Xu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Teacher-Student Framework for Zero-Resource Neural Machine Translation.

Yun Chen, Yang Liu, Yong Cheng, Victor O. K. Li

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Maximum Reconstruction Estimation for Generative Latent-Variable Models.

Yong Cheng, Yang Liu, Wei Xu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Neural Machine Translation with Pivot Languages.

Yong Cheng, Yang Liu, Qian Yang, Maosong Sun, Wei Xu

CoRR, 2016

Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation.

Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Minimum Risk Training for Neural Machine Translation.

Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Semi-Supervised Learning for Neural Machine Translation.

Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014

Query Lattice for Translation Retrieval.

Meiping Dong, Yong Cheng, Yang Liu, Jia Xu, Maosong Sun, Tatsuya Izuha, Jie Hao

Proceedings of the COLING 2014, 2014