Query Lattice for Translation Retrieval. - Meiping Dong; Yong Cheng 003; Yang Liu 005; Jia Xu 004; Maosong Sun 001; Tatsuya Izuha; Jie Hao (COLING, 2014)

Semi-Supervised Learning for Neural Machine Translation. - Yong Cheng 003; Wei Xu 005; Zhongjun He; Wei He 014; Hua Wu 003; Maosong Sun 001; Yang Liu 005 (ACL (1), 2016)

Minimum Risk Training for Neural Machine Translation. - Shiqi Shen; Yong Cheng 003; Zhongjun He; Wei He 014; Hua Wu 003; Maosong Sun 001; Yang Liu 005 (ACL (1), 2016)

Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation. - Yong Cheng 003; Shiqi Shen; Zhongjun He; Wei He 014; Hua Wu 003; Maosong Sun 001; Yang Liu 005 (IJCAI, 2016)

Neural Machine Translation with Pivot Languages. - Yong Cheng 003; Yang Liu 005; Qian Yang 003; Maosong Sun 001; Wei Xu 005 (CoRR, 2016)

Maximum Reconstruction Estimation for Generative Latent-Variable Models. - Yong Cheng 003; Yang Liu 005; Wei Xu 005 (AAAI, 2017)

A Teacher-Student Framework for Zero-Resource Neural Machine Translation. - Yun Chen 007; Yang Liu 005; Yong Cheng 003; Victor O. K. Li (ACL (1), 2017)

Joint Training for Pivot-based Neural Machine Translation. - Yong Cheng 003; Qian Yang 003; Yang Liu 005; Maosong Sun 001; Wei Xu 005 (IJCAI, 2017)

Maximum Expected Likelihood Estimation for Zero-resource Neural Machine Translation. - Hao Zheng; Yong Cheng 003; Yang Liu 005 (IJCAI, 2017)

HiText: Text Reading with Dynamic Salience Marking. - Qian Yang 003; Gerard de Melo; Yong Cheng 003; Sen Wang (WWW (Companion Volume), 2017)

THUMT: An Open Source Toolkit for Neural Machine Translation. - Jiacheng Zhang; Yanzhuo Ding; Shiqi Shen; Yong Cheng 003; Maosong Sun 001; Huan-Bo Luan; Yang Liu 005 (CoRR, 2017)

Neural Parse Combination. - Liner Yang; Maosong Sun 001; Yong Cheng 003; Jiacheng Zhang; Zhenghao Liu 001; Huan-Bo Luan; Yang Liu 005 (J. Comput. Sci. Technol., 2017)

Towards Robust Neural Machine Translation. - Yong Cheng 003; Zhaopeng Tu; Fandong Meng; Junjie Zhai; Yang Liu 005 (ACL (1), 2018)

Neural Machine Translation with Key-Value Memory-Augmented Attention. - Fandong Meng; Zhaopeng Tu; Yong Cheng 003; Haiyang Wu; Junjie Zhai; Yuekui Yang; Di Wang (IJCAI, 2018)

Joint Training for Neural Machine Translation - Yong Cheng 003 (Springer, 2019)

Robust Neural Machine Translation with Doubly Adversarial Inputs. - Yong Cheng 003; Lu Jiang 004; Wolfgang Macherey (ACL (1), 2019)

Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach. - Zonghan Yang; Yong Cheng 003; Yang Liu 005; Maosong Sun 001 (ACL (1), 2019)

An End-to-End Generative Architecture for Paraphrase Generation. - Qian Yang 003; Zhouyuan Huo; Dinghan Shen; Yong Cheng 003; Wenlin Wang; Guoyin Wang 002; Lawrence Carin (EMNLP/IJCNLP (1), 2019)

AdvAug: Robust Adversarial Augmentation for Neural Machine Translation. - Yong Cheng 003; Lu Jiang 004; Wolfgang Macherey; Jacob Eisenstein (ACL, 2020)

Living Jiagu: Enabling Constructive Etymology for Chinese Learning. - Yong Cheng 003; Sijia Ma; Jun Chen; Wenhui Guo; Yingying Zhao; Yaolin Chen; Jingtao Wang; Yushi Jing; Wenli Zhu (CHI Extended Abstracts, 2020)

Towards Web-based Etymological Hanzi Learning. - Yong Cheng 003; Sijia Ma; Jun Chen; Yingying Zhao; Yaolin Chen; Jingtao Wang; Jia Xing; Wenhui Guo; Yushi Jing; Genze Wu; Wenli Zhu (WWW (Companion Volume), 2020)

Self-supervised and Supervised Joint Training for Resource-rich Machine Translation. - Yong Cheng 003; Wei Wang; Lu Jiang 004; Wolfgang Macherey (ICML, 2021)

Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation. - Yong Cheng 003; Ankur Bapna; Orhan Firat; Yuan Cao 007; Pidong Wang; Wolfgang Macherey (ACL (1), 2022)

Examining Scaling and Transfer of Language Model Architectures for Machine Translation. - Biao Zhang 006; Behrooz Ghorbani; Ankur Bapna; Yong Cheng 003; Xavier Garcia; Jonathan Shen; Orhan Firat (ICML, 2022)

mSLAM: Massively multilingual joint pre-training for speech and text. - Ankur Bapna; Colin Cherry; Yu Zhang 033; Ye Jia; Melvin Johnson; Yong Cheng 003; Simran Khanuja; Jason Riesa; Alexis Conneau (CoRR, 2022)

Improving Multilingual and Code-Switching ASR Using Large Language Model Generated Text. - Ke Hu; Tara N. Sainath; Bo Li 028; Yu Zhang 033; Yong Cheng 003; Tao Wang; Yujing Zhang; Frederick Liu (ASRU, 2023)

MAGVIT: Masked Generative Video Transformer. - Lijun Yu; Yong Cheng 003; Kihyuk Sohn; José Lezama; Han Zhang 010; Huiwen Chang; Alexander G. Hauptmann; Ming-Hsuan Yang 001; Yuan Hao; Irfan Essa; Lu Jiang 004 (CVPR, 2023)

Mu2SLAM: Multitask, Multilingual Speech and Language Models. - Yong Cheng 003; Yu Zhang 033; Melvin Johnson; Wolfgang Macherey; Ankur Bapna (ICML, 2023)

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. - Lijun Yu; Yong Cheng 003; Zhiruo Wang 001; Vivek Kumar; Wolfgang Macherey; Yanping Huang; David A. Ross; Irfan Essa; Yonatan Bisk; Ming-Hsuan Yang 001; Kevin P. Murphy; Alexander G. Hauptmann; et al. (NeurIPS, 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; et al. (CoRR, 2023)

Towards Accurate Differential Diagnosis with Large Language Models. - Daniel McDuff; Mike Schaekermann; Tao Tu 001; Anil Palepu; Amy Wang; Jake Garrison; Karan Singhal; Yash Sharma; Shekoofeh Azizi; Kavita Kulkarni; Le Hou; Yong Cheng 003; et al. (CoRR, 2023)

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 003; Agrim Gupta; Xiuye Gu; Alexander G. Hauptmann; Boqing Gong; Ming-Hsuan Yang 001; et al. (ICLR, 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; et al. (ICML, 2024)

Towards Conversational Diagnostic AI. - Tao Tu 001; Anil Palepu; Mike Schaekermann; Khaled Saab 003; Jan Freyberg; Ryutaro Tanno; Amy Wang; Brenna Li; Mohamed Amin; Nenad Tomasev; Shekoofeh Azizi; Karan Singhal; et al. (CoRR, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Understanding the performance gap between online and offline alignment algorithms. - Yunhao Tang; Zhaohan Daniel Guo; Zeyu Zheng; Daniele Calandriello; Yuan Cao 007; Eugene Tarassov; Rémi Munos; Bernardo Ávila Pires; Michal Valko; Yong Cheng 003; Will Dabney (CoRR, 2024)

Towards Democratization of Subspeciality Medical Expertise. - Jack W. O'Sullivan; Anil Palepu; Khaled Saab 003; Wei-Hung Weng; Yong Cheng 003; Emily Chu; Yaanik Desai; Aly Elezaby; Daniel Seung Kim; Roy Lan; Wilson Tang; Natalie Tapaskar; et al. (CoRR, 2024)

Exploring Large Language Models for Specialist-level Oncology Care. - Anil Palepu; Vikram Dhillon; Polly Niravath; Wei-Hung Weng; Preethi Prasad; Khaled Saab 003; Ryutaro Tanno; Yong Cheng 003; Hanh Mai; Ethan Burns; Zainub Ajmal; Kavita Kulkarni; et al. (CoRR, 2024)

Towards Conversational AI for Disease Management. - Anil Palepu; Valentin Liévin; Wei-Hung Weng; Khaled Saab 003; David Stutz; Yong Cheng 003; Kavita Kulkarni; S. Sara Mahdavi; Joelle K. Barral; Dale R. Webster; Katherine Chou; Avinatan Hassidim; et al. (CoRR, 2025)

Advancing Conversational Diagnostic AI with Multimodal Reasoning. - Khaled Saab 003; Jan Freyberg; Chunjong Park; Tim Strother; Yong Cheng 003; Wei-Hung Weng; David G. T. Barrett; David Stutz; Nenad Tomasev; Anil Palepu; Valentin Liévin; Yash Sharma; et al. (CoRR, 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; et al. (CoRR, 2025)

Encoder-Decoder or Decoder-Only? Revisiting Encoder-Decoder Large Language Model. - Biao Zhang 006; Yong Cheng 003; Siamak Shakeri; Xinyi Wang; Min Ma; Orhan Firat (CoRR, 2025)

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; et al. (CoRR, 2026)