Yun-Hsuan Sung

According to our database, Yun-Hsuan Sung authored at least 27 papers between 2006 and 2023.

Collaborative distances:

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

2023

Characterizing Tradeoffs in Language Model Decoding with Informational Interpretations.

Chung-Ching Chang, William W. Cohen, Yun-Hsuan Sung

CoRR, 2023

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.

Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry W. Wei, Jason Wei, Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc V. Le, Thang Luong

CoRR, 2023

KL-Divergence Guided Temperature Sampling.

Chung-Ching Chang, David Reitter, Renat Aksitov, Yun-Hsuan Sung

CoRR, 2023

Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models.

Renat Aksitov, Chung-Ching Chang, David Reitter, Siamak Shakeri, Yun-Hsuan Sung

CoRR, 2023

CoLT5: Faster Long-Range Transformers with Conditional Computation.

Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts.

Cícero Nogueira dos Santos, Zhe Dong, Daniel Cer, John Nham, Siamak Shakeri, Jianmo Ni, Yun-Hsuan Sung

CoRR, 2022

LongT5: Efficient Text-To-Text Transformer for Long Sequences.

Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision.

Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yun-Hsuan Sung, Zhen Li, Tom Duerig

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

2020

Self-Supervised Learning for Pairwise Data Refinement.

Gustavo Hernández Ábrego, Bowen Liang, Wei Wang, Zarana Parekh, Yinfei Yang, Yun-Hsuan Sung

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Multilingual Universal Sentence Encoder for Semantic Retrieval.

Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernández Ábrego, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

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

2019

Hierarchical Document Encoder for Parallel Corpus Mining.

Mandy Guo, Yinfei Yang, Keith Stevens, Daniel Cer, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of the Fourth Conference on Machine Translation, 2019

Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model.

Muthuraman Chidambaram, Yinfei Yang, Daniel Cer, Steve Yuan, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax.

Yinfei Yang, Gustavo Hernández Ábrego, Steve Yuan, Mandy Guo, Qinlan Shen, Daniel Cer, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Universal Sentence Encoder.

Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

CoRR, 2018

Effective Parallel Corpus Mining using Bilingual Sentence Embeddings.

Mandy Guo, Qinlan Shen, Yinfei Yang, Heming Ge, Daniel Cer, Gustavo Hernández Ábrego, Keith Stevens, Noah Constant, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Learning Semantic Textual Similarity from Conversations.

Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Proceedings of The Third Workshop on Representation Learning for NLP, 2018

2017

Efficient Natural Language Response Suggestion for Smart Reply.

Matthew L. Henderson, Rami Al-Rfou, Brian Strope, Yun-Hsuan Sung, László Lukács, Ruiqi Guo, Sanjiv Kumar, Balint Miklos, Ray Kurzweil

CoRR, 2017

2016

Conversational Contextual Cues: The Case of Personalization and History for Response Ranking.

Rami Al-Rfou, Marc Pickett, Javier Snaider, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

CoRR, 2016

2013

Written-domain language modeling for automatic speech recognition.

Hasim Sak, Yun-Hsuan Sung, Françoise Beaufays, Cyril Allauzen

Proceedings of the INTERSPEECH 2013, 2013

2012

Recognition of multilingual speech in mobile applications.

Hui Lin, Jui-Ting Huang, Françoise Beaufays, Brian Strope, Yun-Hsuan Sung

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Deploying Google Search by Voice in Cantonese.

Yun-Hsuan Sung, Martin Jansche, Pedro J. Moreno

Proceedings of the INTERSPEECH 2011, 2011

Recognizing English queries in Mandarin Voice Search.

Hung-An Chang, Yun-Hsuan Sung, Brian Strope, Françoise Beaufays

Proceedings of the IEEE International Conference on Acoustics, 2011

2009

Revisiting graphemes with increasing amounts of data.

Yun-Hsuan Sung, Thad Hughes, Françoise Beaufays, Brian Strope

Proceedings of the IEEE International Conference on Acoustics, 2009

Hidden Conditional Random Fields for phone recognition.

Yun-Hsuan Sung, Daniel Jurafsky

Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008

Maximum conditional likelihood linear regression and maximum a posteriori for hidden conditional random fields speaker adaptation.

Yun-Hsuan Sung, Constantinos Boulis, Daniel Jurafsky

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Regularization, adaptation, and non-independent features improve hidden conditional random fields for phone classification.

Yun-Hsuan Sung, Constantinos Boulis, Christopher D. Manning, Dan Jurafsky

Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

2006

Detection of word fragments in Mandarin telephone conversation.

Cheng-Tao Chu, Yun-Hsuan Sung, Yuan Zhao, Daniel Jurafsky

Proceedings of the INTERSPEECH 2006, 2006