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Noah Constant
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2020 – today
- 2024
- [i31]Kehang Han, Kathleen Kenealy, Aditya Barua, Noah Fiedel, Noah Constant:
Transfer Learning for Text Diffusion Models. CoRR abs/2401.17181 (2024) - [i30]Brian Lester, Jaehoon Lee, Alex Alemi, Jeffrey Pennington, Adam Roberts, Jascha Sohl-Dickstein, Noah Constant:
Training LLMs over Neurally Compressed Text. CoRR abs/2404.03626 (2024) - 2023
- [j2]Parker Riley, Timothy Dozat, Jan A. Botha, Xavier Garcia, Dan Garrette, Jason Riesa, Orhan Firat, Noah Constant:
FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation. Trans. Assoc. Comput. Linguistics 11: 671-685 (2023) - [c20]Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant:
Character-Aware Models Improve Visual Text Rendering. ACL (1) 2023: 16270-16297 - [c19]Hyung Won Chung, Xavier Garcia, Adam Roberts, Yi Tay, Orhan Firat, Sharan Narang, Noah Constant:
UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining. ICLR 2023 - [c18]Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch:
Bidirectional Language Models Are Also Few-shot Learners. ICLR 2023 - [i29]Hyung Won Chung, Noah Constant, Xavier Garcia, Adam Roberts, Yi Tay, Sharan Narang, Orhan Firat:
UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining. CoRR abs/2304.09151 (2023) - [i28]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:
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. CoRR abs/2310.03214 (2023) - [i27]C. Daniel Freeman, Laura Culp, Aaron Parisi, Maxwell L. Bileschi, Gamaleldin F. Elsayed, Alex Rizkowsky, Isabelle Simpson, Alex Alemi, Azade Nova, Ben Adlam, Bernd Bohnet, Gaurav Mishra, Hanie Sedghi, Igor Mordatch, Izzeddin Gur, Jaehoon Lee, John D. Co-Reyes, Jeffrey Pennington, Kelvin Xu, Kevin Swersky, Kshiteej Mahajan, Lechao Xiao, Rosanne Liu, Simon Kornblith, Noah Constant, Peter J. Liu, Roman Novak, Yundi Qian, Noah Fiedel, Jascha Sohl-Dickstein:
Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5? CoRR abs/2311.07587 (2023) - [i26]Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron Parisi, Abhishek Kumar, Alex Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin F. Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel:
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. CoRR abs/2312.06585 (2023) - 2022
- [j1]Linting Xue, Aditya Barua, Noah Constant, Rami Al-Rfou, Sharan Narang, Mihir Kale, Adam Roberts, Colin Raffel:
ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models. Trans. Assoc. Comput. Linguistics 10: 291-306 (2022) - [c17]Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang:
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. ACL (Findings) 2022: 1864-1874 - [c16]Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou', Daniel Cer:
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. ACL (1) 2022: 5039-5059 - [c15]Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant:
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. EMNLP 2022: 9279-9300 - [i25]Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant:
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. CoRR abs/2205.12647 (2022) - [i24]Brian Lester, Joshua Yurtsever, Siamak Shakeri, Noah Constant:
Reducing Retraining by Recycling Parameter-Efficient Prompts. CoRR abs/2208.05577 (2022) - [i23]Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch:
Bidirectional Language Models Are Also Few-shot Learners. CoRR abs/2209.14500 (2022) - [i22]Parker Riley, Timothy Dozat, Jan A. Botha, Xavier Garcia, Dan Garrette, Jason Riesa, Orhan Firat, Noah Constant:
FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation. CoRR abs/2210.00193 (2022) - [i21]Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant:
Character-Aware Models Improve Visual Text Rendering. CoRR abs/2212.10562 (2022) - 2021
- [c14]Mihir Kale, Aditya Siddhant, Rami Al-Rfou, Linting Xue, Noah Constant, Melvin Johnson:
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models? ACL/IJCNLP (2) 2021: 683-691 - [c13]Parker Riley, Noah Constant, Mandy Guo, Girish Kumar, David C. Uthus, Zarana Parekh:
TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling. ACL/IJCNLP (1) 2021: 3786-3800 - [c12]Brian Lester, Rami Al-Rfou, Noah Constant:
The Power of Scale for Parameter-Efficient Prompt Tuning. EMNLP (1) 2021: 3045-3059 - [c11]Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. EMNLP (1) 2021: 10215-10245 - [c10]Siamak Shakeri, Noah Constant, Mihir Kale, Linting Xue:
Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension. INLG 2021: 35-45 - [c9]Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, Colin Raffel:
mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer. NAACL-HLT 2021: 483-498 - [c8]Xavier Garcia, Noah Constant, Ankur P. Parikh, Orhan Firat:
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution. NAACL-HLT 2021: 1184-1192 - [i20]Xavier Garcia, Noah Constant, Ankur P. Parikh, Orhan Firat:
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution. CoRR abs/2103.06799 (2021) - [i19]Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. CoRR abs/2104.07412 (2021) - [i18]Brian Lester, Rami Al-Rfou, Noah Constant:
The Power of Scale for Parameter-Efficient Prompt Tuning. CoRR abs/2104.08691 (2021) - [i17]Linting Xue, Aditya Barua, Noah Constant, Rami Al-Rfou, Sharan Narang, Mihir Kale, Adam Roberts, Colin Raffel:
ByT5: Towards a token-free future with pre-trained byte-to-byte models. CoRR abs/2105.13626 (2021) - [i16]Mihir Kale, Aditya Siddhant, Noah Constant, Melvin Johnson, Rami Al-Rfou, Linting Xue:
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models? CoRR abs/2106.02171 (2021) - [i15]Xavier Garcia, Noah Constant, Mandy Guo, Orhan Firat:
Towards Universality in Multilingual Text Rewriting. CoRR abs/2107.14749 (2021) - [i14]Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang:
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. CoRR abs/2108.08877 (2021) - [i13]Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou, Daniel Cer:
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. CoRR abs/2110.07904 (2021) - 2020
- [c7]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:
Multilingual Universal Sentence Encoder for Semantic Retrieval. ACL (demo) 2020: 87-94 - [c6]Uma Roy, Noah Constant, Rami Al-Rfou, Aditya Barua, Aaron Phillips, Yinfei Yang:
LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool. EMNLP (1) 2020: 5919-5930 - [i12]Uma Roy, Noah Constant, Rami Al-Rfou, Aditya Barua, Aaron Phillips, Yinfei Yang:
LAReQA: Language-agnostic answer retrieval from a multilingual pool. CoRR abs/2004.05484 (2020) - [i11]Mandy Guo, Yinfei Yang, Daniel Cer, Qinlan Shen, Noah Constant:
MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models. CoRR abs/2005.02507 (2020) - [i10]Parker Riley, Noah Constant, Mandy Guo, Girish Kumar, David C. Uthus, Zarana Parekh:
TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling. CoRR abs/2010.03802 (2020) - [i9]Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, Colin Raffel:
mT5: A massively multilingual pre-trained text-to-text transformer. CoRR abs/2010.11934 (2020) - [i8]Siamak Shakeri, Noah Constant, Mihir Sanjay Kale, Linting Xue:
Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension. CoRR abs/2010.12008 (2020)
2010 – 2019
- 2019
- [c5]Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones:
Character-Level Language Modeling with Deeper Self-Attention. AAAI 2019: 3159-3166 - [c4]Amin Ahmad, Noah Constant, Yinfei Yang, Daniel Cer:
ReQA: An Evaluation for End-to-End Answer Retrieval Models. MRQA@EMNLP 2019: 137-146 - [i7]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:
Multilingual Universal Sentence Encoder for Semantic Retrieval. CoRR abs/1907.04307 (2019) - [i6]Amin Ahmad, Noah Constant, Yinfei Yang, Daniel Cer:
ReQA: An Evaluation for End-to-End Answer Retrieval Models. CoRR abs/1907.04780 (2019) - [i5]Dokook Choe, Rami Al-Rfou, Mandy Guo, Heeyoung Lee, Noah Constant:
Bridging the Gap for Tokenizer-Free Language Models. CoRR abs/1908.10322 (2019) - 2018
- [c3]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:
Universal Sentence Encoder for English. EMNLP (Demonstration) 2018: 169-174 - [c2]Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Learning Semantic Textual Similarity from Conversations. Rep4NLP@ACL 2018: 164-174 - [c1]Mandy Guo, Qinlan Shen, Yinfei Yang, Heming Ge, Daniel Cer, Gustavo Hernández Ábrego, Keith Stevens, Noah Constant, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings. WMT 2018: 165-176 - [i4]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:
Universal Sentence Encoder. CoRR abs/1803.11175 (2018) - [i3]Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Learning Semantic Textual Similarity from Conversations. CoRR abs/1804.07754 (2018) - [i2]Mandy Guo, Qinlan Shen, Yinfei Yang, Heming Ge, Daniel Cer, Gustavo Hernández Ábrego, Keith Stevens, Noah Constant, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings. CoRR abs/1807.11906 (2018) - [i1]Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones:
Character-Level Language Modeling with Deeper Self-Attention. CoRR abs/1808.04444 (2018)
Coauthor Index
aka: Rami Al-Rfou'
aka: Daniel Cer
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last updated on 2024-06-20 23:09 CEST by the dblp team
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