Detection of word fragments in Mandarin telephone conversation. - Cheng-Tao Chu; Yun-Hsuan Sung; Yuan Zhao; Daniel Jurafsky (INTERSPEECH, 2006)

Regularization, adaptation, and non-independent features improve hidden conditional random fields for phone classification. - Yun-Hsuan Sung; Constantinos Boulis; Christopher D. Manning; Dan Jurafsky (ASRU, 2007)

Maximum conditional likelihood linear regression and maximum a posteriori for hidden conditional random fields speaker adaptation. - Yun-Hsuan Sung; Constantinos Boulis; Daniel Jurafsky (ICASSP, 2008)

Hidden Conditional Random Fields for phone recognition. - Yun-Hsuan Sung; Daniel Jurafsky (ASRU, 2009)

Revisiting graphemes with increasing amounts of data. - Yun-Hsuan Sung; Thad Hughes; Françoise Beaufays; Brian Strope (ICASSP, 2009)

Recognizing English queries in Mandarin Voice Search. - Hung-An Chang; Yun-Hsuan Sung; Brian Strope; Françoise Beaufays (ICASSP, 2011)

Deploying Google Search by Voice in Cantonese. - Yun-Hsuan Sung; Martin Jansche; Pedro J. Moreno 001 (INTERSPEECH, 2011)

Recognition of multilingual speech in mobile applications. - Hui Lin; Jui-Ting Huang; Françoise Beaufays; Brian Strope; Yun-Hsuan Sung (ICASSP, 2012)

Written-domain language modeling for automatic speech recognition. - Hasim Sak; Yun-Hsuan Sung; Françoise Beaufays; Cyril Allauzen (INTERSPEECH, 2013)

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)

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)

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 (Rep4NLP@ACL, 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 (WMT, 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; et al. (CoRR, 2018)

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 (IJCAI, 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 (RepL4NLP@ACL, 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 (WMT (1), 2019)

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 (ACL (demo), 2020)

Self-Supervised Learning for Pairwise Data Refinement. - Gustavo Hernández Ábrego; Bowen Liang; Wei Wang 236; Zarana Parekh; Yinfei Yang; Yun-Hsuan Sung (AACL/IJCNLP, 2020)

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. - Chao Jia; Yinfei Yang; Ye Xia 006; Yi-Ting Chen; Zarana Parekh; Hieu Pham 001; Quoc V. Le; Yun-Hsuan Sung; Zhen Li 028; Tom Duerig (ICML, 2021)

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 (NAACL-HLT (Findings), 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)

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 (EMNLP, 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)

KL-Divergence Guided Temperature Sampling. - Chung-Ching Chang; David Reitter; Renat Aksitov; Yun-Hsuan Sung (CoRR, 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 002; Noah Constant; Jerry W. Wei; Jason Wei; Chris Tar; Yun-Hsuan Sung; Denny Zhou; Quoc V. Le; Thang Luong (ACL (Findings), 2024)

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. - Tu Vu; Kalpesh Krishna; Salaheddin Alzubi; Chris Tar; Manaal Faruqui; Yun-Hsuan Sung (EMNLP, 2024)

Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems. - Frank Palma Gomez; Ramon Sanabria; Yun-Hsuan Sung; Daniel Cer; Siddharth Dalmia; Gustavo Hernández Ábrego (CoRR, 2024)

Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting. - Yufei Li 001; John Nham; Ganesh Jawahar; Lei Shu; David Uthus; Yun-Hsuan Sung; Chengrun Yang; Itai Rolnick; Yi Qiao; Cong Liu 005 (CoRR, 2025)

Gemini Embedding: Generalizable Embeddings from Gemini. - Jinhyuk Lee; Feiyang Chen; Sahil Dua; Daniel Cer; Madhuri Shanbhogue; Iftekhar Naim; Gustavo Hernández Ábrego; Zhe Li; Kaifeng Chen; Henrique Schechter Vera; Xiaoqi Ren; Shanfeng Zhang; et al. (CoRR, 2025)