The detection of emphatic words using acoustic and lexical features. - Jason M. Brenier; Daniel M. Cer; Daniel Jurafsky (INTERSPEECH, 2005)

Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models. - Daniel M. Cer; Randall C. O'Reilly (Handbook of Binding and Memory, 2006)

Learning to recognize features of valid textual entailments. - Bill MacCartney; Trond Grenager; Marie-Catherine de Marneffe; Daniel M. Cer; Christopher D. Manning (HLT-NAACL, 2006)

Robust Graph Alignment Methods for Textual Inference and Machine Reading. - Marie-Catherine de Marneffe; Trond Grenager; Bill MacCartney; Daniel M. Cer; Daniel Ramage; Chloé Kiddon; Christopher D. Manning (AAAI Spring Symposium: Machine Reading, 2007)

Learning Alignments and Leveraging Natural Logic. - Nathanael Chambers; Daniel M. Cer; Trond Grenager; David Hall 006; Chloé Kiddon; Bill MacCartney; Marie-Catherine de Marneffe; Daniel Ramage; Eric Yeh; Christopher D. Manning (ACL-PASCAL@ACL, 2007)

Regularization and Search for Minimum Error Rate Training. - Daniel M. Cer; Dan Jurafsky; Christopher D. Manning (WMT@ACL, 2008)

Measuring machine translation quality as semantic equivalence: A metric based on entailment features. - Sebastian Padó; Daniel M. Cer; Michel Galley; Dan Jurafsky; Christopher D. Manning (Mach. Transl., 2009)

Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy. - Daniel M. Cer; Marie-Catherine de Marneffe; Daniel Jurafsky; Christopher D. Manning (LREC, 2010)

Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features. - Daniel M. Cer; Michel Galley; Daniel Jurafsky; Christopher D. Manning (NAACL (Demos), 2010)

The Best Lexical Metric for Phrase-Based Statistical MT System Optimization. - Daniel M. Cer; Christopher D. Manning; Daniel Jurafsky (HLT-NAACL, 2010)

SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity. - Eneko Agirre; Daniel M. Cer; Mona T. Diab; Aitor Gonzalez-Agirre (SemEval@NAACL-HLT, 2012)

Stanford: Probabilistic Edit Distance Metrics for STS. - Mengqiu Wang; Daniel M. Cer (SemEval@NAACL-HLT, 2012)

Fast and Adaptive Online Training of Feature-Rich Translation Models. - Spence Green; Sida Wang 001; Daniel M. Cer; Christopher D. Manning (ACL (1), 2013)

Bilingual Word Embeddings for Phrase-Based Machine Translation. - Will Y. Zou; Richard Socher; Daniel M. Cer; Christopher D. Manning (EMNLP, 2013)

*SEM 2013 shared task: Semantic Textual Similarity. - Eneko Agirre; Daniel M. Cer; Mona T. Diab; Aitor Gonzalez-Agirre; Weiwei Guo (*SEM@NAACL-HLT, 2013)

Positive Diversity Tuning for Machine Translation System Combination. - Daniel M. Cer; Christopher D. Manning; Dan Jurafsky (WMT@ACL, 2013)

Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task. - Spence Green; Daniel M. Cer; Kevin Reschke; Rob Voigt; John Bauer; Sida Wang 001; Natalia Silveira; Julia Neidert; Christopher D. Manning (WMT@ACL, 2013)

SemEval-2014 Task 10: Multilingual Semantic Textual Similarity. - Eneko Agirre; Carmen Banea; Claire Cardie; Daniel M. Cer; Mona T. Diab; Aitor Gonzalez-Agirre; Weiwei Guo; Rada Mihalcea; German Rigau; Janyce Wiebe (SemEval@COLING, 2014)

Phrasal: A Toolkit for New Directions in Statistical Machine Translation. - Spence Green; Daniel M. Cer; Christopher D. Manning (WMT@ACL, 2014)

An Empirical Comparison of Features and Tuning for Phrase-based Machine Translation. - Spence Green; Daniel M. Cer; Christopher D. Manning (WMT@ACL, 2014)

SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability. - Eneko Agirre; Carmen Banea; Claire Cardie; Daniel M. Cer; Mona T. Diab; Aitor Gonzalez-Agirre; Weiwei Guo; Iñigo Lopez-Gazpio; Montse Maritxalar; Rada Mihalcea; German Rigau; Larraitz Uria; et al. (SemEval@NAACL-HLT, 2015)

SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation. - Eneko Agirre; Carmen Banea; Daniel M. Cer; Mona T. Diab; Aitor Gonzalez-Agirre; Rada Mihalcea; German Rigau; Janyce Wiebe (SemEval@NAACL-HLT, 2016)

SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation. - Daniel M. Cer; Mona T. Diab; Eneko Agirre; Iñigo Lopez-Gazpio; Lucia Specia (SemEval@ACL, 2017)

SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation. - Daniel M. Cer; Mona T. Diab; Eneko Agirre; Iñigo Lopez-Gazpio; Lucia Specia (CoRR, 2017)

Universal Sentence Encoder for English. - Daniel Cer; Yinfei Yang; Sheng-yi Kong; Nan Hua; Nicole Limtiaco; Rhomni St. John; Noah Constant; Mario Guajardo-Cespedes; Steve Yuan; Chris Tar; Brian Strope; Ray Kurzweil (EMNLP (Demonstration), 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 (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)

ReQA: An Evaluation for End-to-End Answer Retrieval Models. - Amin Ahmad; Noah Constant; Yinfei Yang; Daniel Cer (MRQA@EMNLP, 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 (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)

MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models. - Mandy Guo; Yinfei Yang; Daniel Cer; Qinlan Shen; Noah Constant (CoRR, 2020)

SeqGenSQL - A Robust Sequence Generation Model for Structured Query Language. - Ning Li; Bethany Keller; Mark Butler; Daniel Cer (CoRR, 2020)

Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation. - Yinfei Yang; Ning Jin; Kuo Lin; Mandy Guo; Daniel Cer (ACL/IJCNLP (2), 2021)

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO. - Zarana Parekh; Jason Baldridge; Daniel Cer; Austin Waters; Yinfei Yang (EACL, 2021)

A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. - Ziyi Yang; Yinfei Yang; Daniel Cer; Eric Darve (EMNLP (1), 2021)

Universal Sentence Representation Learning with Conditional Masked Language Model. - Ziyi Yang; Yinfei Yang; Daniel Cer; Jax Law; Eric Darve (EMNLP (1), 2021)

NT5?! Training T5 to Perform Numerical Reasoning. - Peng-Jian Yang; Ying-Ting Chen; Yuechan Chen; Daniel Cer (CoRR, 2021)

Language-agnostic BERT Sentence Embedding. - Fangxiaoyu Feng; Yinfei Yang; Daniel Cer; Naveen Arivazhagan; Wei Wang 236 (ACL (1), 2022)

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. - Jianmo Ni; Gustavo Hernández Ábrego; Noah Constant; Ji Ma 004; Keith B. Hall; Daniel Cer; Yinfei Yang (ACL (Findings), 2022)

SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. - Tu Vu; Brian Lester; Noah Constant; Rami Al-Rfou'; Daniel Cer (ACL (1), 2022)

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. - Tu Vu; Aditya Barua; Brian Lester; Daniel Cer; Mohit Iyyer; Noah Constant (EMNLP, 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)

Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. - Nandan Thakur; Jianmo Ni; Gustavo Hernández Ábrego; John Wieting; Jimmy Lin; Daniel Cer (NAACL-HLT, 2024)

Gemma: Open Models Based on Gemini Research and Technology. - Thomas Mesnard; Cassidy Hardin; Robert Dadashi; Surya Bhupatiraju; Shreya Pathak; Laurent Sifre; Morgane Rivière; Mihir Sanjay Kale; Juliette Love; Pouya Tafti; Léonard Hussenot; Aakanksha Chowdhery; et al. (CoRR, 2024)

Gecko: Versatile Text Embeddings Distilled from Large Language Models. - Jinhyuk Lee; Zhuyun Dai; Xiaoqi Ren; Blair Chen; Daniel Cer; Jeremy R. Cole; Kai Hui 001; Michael Boratko; Rajvi Kapadia; Wen Ding; Yi Luan; Sai Meher Karthik Duddu; et al. (CoRR, 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)

ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models. - Simeng Han; Frank Palma Gomez; Tu Vu; Zefei Li; Daniel Cer; Hansi Zeng; Chris Tar; Arman Cohan; Gustavo Hernández Ábrego (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)

CRISP: Clustering Multi-Vector Representations for Denoising and Pruning. - João Veneroso; Rajesh Jayaram; Jinmeng Rao; Gustavo Hernández Ábrego; Majid Hadian; Daniel Cer (CoRR, 2025)