Daniel M. Cer

According to our database, Daniel M. Cer authored at least 48 papers between 2005 and 2024.

Collaborative distances:

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

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, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Sai Meher Karthik Duddu, Gustavo Hernández Ábrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim

CoRR, 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, Adam Roberts, Aditya Barua, Alex Botev, Alex Castro-Ros, Ambrose Slone, Amélie Héliou, Andrea Tacchetti, Anna Bulanova, Antonia Paterson, Beth Tsai, Bobak Shahriari, Charline Le Lan, Christopher A. Choquette-Choo, Clément Crepy, Daniel Cer, Daphne Ippolito, David Reid, Elena Buchatskaya, Eric Ni, Eric Noland, Geng Yan, George Tucker, George-Christian Muraru, Grigory Rozhdestvenskiy, Henryk Michalewski, Ian Tenney, Ivan Grishchenko, Jacob Austin, James Keeling, Jane Labanowski, Jean-Baptiste Lespiau, Jeff Stanway, Jenny Brennan, Jeremy Chen, Johan Ferret, Justin Chiu, et al.

CoRR, 2024

2023

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

CoRR, 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

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation.

Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer.

Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou', Daniel Cer

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

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.

Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang

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

Language-agnostic BERT Sentence Embedding.

Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, Naveen Arivazhagan, Wei Wang

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

2021

NT5?! Training T5 to Perform Numerical Reasoning.

Peng-Jian Yang, Ying-Ting Chen, Yuechan Chen, Daniel Cer

CoRR, 2021

Universal Sentence Representation Learning with Conditional Masked Language Model.

Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations.

Ziyi Yang, Yinfei Yang, Daniel Cer, Eric Darve

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO.

Zarana Parekh, Jason Baldridge, Daniel Cer, Austin Waters, Yinfei Yang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation.

Yinfei Yang, Ning Jin, Kuo Lin, Mandy Guo, Daniel Cer

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

SeqGenSQL - A Robust Sequence Generation Model for Structured Query Language.

Ning Li, Bethany Keller, Mark Butler, Daniel Cer

CoRR, 2020

MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models.

Mandy Guo, Yinfei Yang, Daniel Cer, Qinlan Shen, Noah Constant

CoRR, 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

ReQA: An Evaluation for End-to-End Answer Retrieval Models.

Amin Ahmad, Noah Constant, Yinfei Yang, Daniel Cer

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 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

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

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

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

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

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

2016

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

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

2015

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, Janyce Wiebe

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

2014

An Empirical Comparison of Features and Tuning for Phrase-based Machine Translation.

Spence Green, Daniel M. Cer, Christopher D. Manning

Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

Phrasal: A Toolkit for New Directions in Statistical Machine Translation.

Spence Green, Daniel M. Cer, Christopher D. Manning

Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

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

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

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, Natalia Silveira, Julia Neidert, Christopher D. Manning

Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

Positive Diversity Tuning for Machine Translation System Combination.

Daniel M. Cer, Christopher D. Manning, Dan Jurafsky

Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

*SEM 2013 shared task: Semantic Textual Similarity.

Eneko Agirre, Daniel M. Cer, Mona T. Diab, Aitor Gonzalez-Agirre, Weiwei Guo

Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Bilingual Word Embeddings for Phrase-Based Machine Translation.

Will Y. Zou, Richard Socher, Daniel M. Cer, Christopher D. Manning

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Fast and Adaptive Online Training of Feature-Rich Translation Models.

Spence Green, Sida Wang, Daniel M. Cer, Christopher D. Manning

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Stanford: Probabilistic Edit Distance Metrics for STS.

Mengqiu Wang, Daniel M. Cer

Proceedings of the 6th International Workshop on Semantic Evaluation, 2012

SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity.

Eneko Agirre, Daniel M. Cer, Mona T. Diab, Aitor Gonzalez-Agirre

Proceedings of the 6th International Workshop on Semantic Evaluation, 2012

2010

The Best Lexical Metric for Phrase-Based Statistical MT System Optimization.

Daniel M. Cer, Christopher D. Manning, Daniel Jurafsky

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features.

Daniel M. Cer, Michel Galley, Daniel Jurafsky, Christopher D. Manning

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 2, 2010, Los Angeles, California, USA, 2010

Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy.

Daniel M. Cer, Marie-Catherine de Marneffe, Daniel Jurafsky, Christopher D. Manning

Proceedings of the International Conference on Language Resources and Evaluation, 2010

2009

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

2008

Regularization and Search for Minimum Error Rate Training.

Daniel M. Cer, Dan Jurafsky, Christopher D. Manning

Proceedings of the Third Workshop on Statistical Machine Translation, 2008

2007

Learning Alignments and Leveraging Natural Logic.

Nathanael Chambers, Daniel M. Cer, Trond Grenager, David Hall, Chloé Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh, Christopher D. Manning

Proceedings of the ACL-PASCAL@ACL 2007 Workshop on Textual Entailment and Paraphrasing, 2007

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

Proceedings of the Machine Reading, 2007

2006

Learning to recognize features of valid textual entailments.

Bill MacCartney, Trond Grenager, Marie-Catherine de Marneffe, Daniel M. Cer, Christopher D. Manning

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models.

Daniel M. Cer, Randall C. O'Reilly

Proceedings of the Handbook of Binding and Memory, 2006

2005

The detection of emphatic words using acoustic and lexical features.

Jason M. Brenier, Daniel M. Cer, Daniel Jurafsky

Proceedings of the INTERSPEECH 2005, 2005