Jonathan H. Clark

According to our database, Jonathan H. Clark authored at least 33 papers between 2007 and 2024.

Collaborative distances:

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

2024

Multitask Multilingual Model Adaptation with Featurized Low-Rank Mixtures.

Chu-Cheng Lin, Xinyi Wang, Jonathan H. Clark, Han Lu, Yun Zhu, Chenxi Whitehouse, Hongkun Yu

CoRR, 2024

2023

Scaling Up Models and Data with t5x and seqio.

Adam Roberts, Hyung Won Chung, Gaurav Mishra, Anselm Levskaya, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Kehang Han, Michelle Casbon, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo

J. Mach. Learn. Res., 2023

FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning.

Xinyi Wang, John Wieting, Jonathan H. Clark

CoRR, 2023

The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.

Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat

CoRR, 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, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.

CoRR, 2023

AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages.

Odunayo Ogundepo, Tajuddeen R. Gwadabe, Clara E. Rivera, Jonathan H. Clark, Sebastian Ruder, David Ifeoluwa Adelani, Bonaventure F. P. Dossou, Abdou Aziz Diop, Claytone Sikasote, Gilles Hacheme, Happy Buzaaba, Ignatius Ezeani, Rooweither Mabuya, Salomey Osei, Chris Emezue, Albert Njoroge Kahira, Shamsuddeen Hassan Muhammad, Akintunde Oladipo, Abraham Toluwase Owodunni, Atnafu Lambebo Tonja, Iyanuoluwa Shode, Akari Asai, Tunde Oluwaseyi Ajayi, Clemencia Siro, Steven Arthur, Mofetoluwa Adeyemi, Orevaoghene Ahia, Aremu Anuoluwapo, Oyinkansola Awosan, Chiamaka Chukwuneke, Bernard Opoku, Awokoya Ayodele, Verrah Otiende, Christine Mwase, Boyd Sinkala, Andre Niyongabo Rubungo, Daniel A. Ajisafe, Emeka Felix Onwuegbuzia, Habib Mbow, Emile Niyomutabazi, Eunice Mukonde, Falalu Ibrahim Lawan, Ibrahim Said Ahmad, Jesujoba O. Alabi, Martin Namukombo, Chinedu Emmanuel Mbonu, Mofya Phiri, Neo Putini, Ndumiso Mngoma, Priscilla A. Amuok, Ruqayya Nasir Iro, Sonia Adhiambo

CoRR, 2023

The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.

Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat

Proceedings of the Eighth Conference on Machine Translation, 2023

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages.

Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David Ifeoluwa Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cross-lingual Open-Retrieval Question Answering for African Languages.

Odunayo Ogundepo, Tajuddeen Gwadabe, Clara Rivera, Jonathan H. Clark, Sebastian Ruder, David Ifeoluwa Adelani, Bonaventure Dossou, Abdou Aziz Diop, Claytone Sikasote, Gilles Hacheme, Happy Buzaaba, Ignatius Ezeani, Rooweither Mabuya, Salomey Osei, Chris Emezue, Albert Kahira, Shamsuddeen Hassan Muhammad, Akintunde Oladipo, Abraham Toluwase Owodunni, Atnafu Lambebo Tonja, Iyanuoluwa Shode, Akari Asai, Aremu Anuoluwapo, Ayodele Awokoya, Bernard Opoku, Chiamaka Chukwuneke, Christine Mwase, Clemencia Siro, Stephen Arthur, Tunde Ajayi, Verrah Otiende, Andre Niyongabo Rubungo, Boyd Sinkala, Daniel A. Ajisafe, Emeka Onwuegbuzia, Falalu Ibrahim Lawan, Ibrahim Said Ahmad, Jesujoba O. Alabi, Chinedu E. Mbonu, Mofetoluwa Adeyemi, Mofya Phiri, Orevaoghene Ahia, Ruqayya Nasir Iro, Sonia Adhiambo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating and Modeling Attribution for Cross-Lingual Question Answering.

Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang

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

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval.

John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation.

Jonathan H. Clark, Dan Garrette, Iulia Turc, John Wieting

Trans. Assoc. Comput. Linguistics, 2022

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages.

Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi

CoRR, 2022

Scaling Up Models and Data with t5x and seqio.

Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo

CoRR, 2022

XTREME-S: Evaluating Cross-lingual Speech Representations.

Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training.

Ankur Bapna, Yu-An Chung, Nan Wu, Anmol Gulati, Ye Jia, Jonathan H. Clark, Melvin Johnson, Jason Riesa, Alexis Conneau, Yu Zhang

CoRR, 2021

Learning to Recognize Dialect Features.

Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

XOR QA: Cross-lingual Open-Retrieval Question Answering.

Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages.

Jonathan H. Clark, Jennimaria Palomaki, Vitaly Nikolaev, Eunsol Choi, Dan Garrette, Michael Collins, Tom Kwiatkowski

Trans. Assoc. Comput. Linguistics, 2020

CapWAP: Captioning with a Purpose.

Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay

CoRR, 2020

CapWAP: Image Captioning with a Purpose.

Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

One System, Many Domains: Open-Domain Statistical Machine Translation via Feature Augmentation.

Jonathan H. Clark, Alon Lavie, Chris Dyer

Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers, 2020

2014

Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization.

Jonathan H. Clark, Chris Dyer, Alon Lavie

Trans. Assoc. Comput. Linguistics, 2014

2013

Scalable Modified Kneser-Ney Language Model Estimation.

Kenneth Heafield, Ivan Pouzyrevsky, Jonathan H. Clark, Philipp Koehn

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

2011

The CMU-ARK German-English Translation System.

Chris Dyer, Kevin Gimpel, Jonathan H. Clark, Noah A. Smith

Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011

Unsupervised Word Alignment with Arbitrary Features.

Chris Dyer, Jonathan H. Clark, Alon Lavie, Noah A. Smith

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability.

Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A. Smith

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010

The Machine Translation Toolpack for LoonyBin: Automated Management of Experimental Machine Translation HyperWorkflows.

Jonathan H. Clark, Jonathan Weese, Byung-Gyu Ahn, Andreas Zollmann, Qin Gao, Kenneth Heafield, Alon Lavie

Prague Bull. Math. Linguistics, 2010

Improved Features and Grammar Selection for Syntax-Based MT.

Greg Hanneman, Jonathan H. Clark, Alon Lavie

Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010

LoonyBin: Keeping Language Technologists Sane through Automated Management of Experimental (Hyper)Workflows.

Jonathan H. Clark, Alon Lavie

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

2009

An Improved Statistical Transfer System for French-English Machine Translation.

Greg Hanneman, Vamshi Ambati, Jonathan H. Clark, Alok Parlikar, Alon Lavie

Proceedings of the Fourth Workshop on Statistical Machine Translation, 2009

2007

A Classifier System for Author Recognition Using Synonym-Based Features.

Jonathan H. Clark, Charles J. Hannon

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

An Algorithm for Identifying Authors Using Synonyms.

Jonathan H. Clark, Charles J. Hannon

Proceedings of the Eight Mexican International Conference in Current Trends in Computer Science, 2007