Noah Constant

Computer Science · Physical Sciences

24h-index7.4kcitations60works14.32yr avg
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Research Topics

Topic Modeling(50), Natural Language Processing Techniques(50), Multimodal Machine Learning Applications(17), Speech Recognition and Synthesis(8), Syntax, Semantics, Linguistic Variation(6)

Publications59 total

Training LLMs over Neurally Compressed Text
arXiv (Cornell University)·2024· 1 citedOpen Access
Transfer Learning for Text Diffusion Models
arXiv (Cornell University)·2024· 1 citedOpen Access
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
2024· 41 citedOpen Access
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
arXiv (Cornell University)·2023· 6 citedOpen Access
Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?
arXiv (Cornell University)·2023Open Access
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
arXiv (Cornell University)·2023· 6 citedOpen Access
UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining
arXiv (Cornell University)·2023· 6 citedOpen Access
Character-Aware Models Improve Visual Text Rendering
2023· 24 citedOpen Access
FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation
Transactions of the Association for Computational Linguistics·2023· 7 citedOpen Access
Character-Aware Models Improve Visual Text Rendering
arXiv (Cornell University)·2022· 2 citedOpen Access
FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation
arXiv (Cornell University)·2022· 1 citedOpen Access
Bidirectional Language Models Are Also Few-shot Learners
arXiv (Cornell University)·2022· 18 citedOpen Access
Reducing Retraining by Recycling Parameter-Efficient Prompts
arXiv (Cornell University)·2022· 6 citedOpen Access
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
arXiv (Cornell University)·2022· 1 citedOpen Access
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)·2022· 166 citedOpen Access
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
Findings of the Association for Computational Linguistics: ACL 2022·2022· 240 citedOpen Access
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
2022· 18 citedOpen Access
ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models
Transactions of the Association for Computational Linguistics·2022· 218 citedOpen Access
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
arXiv (Cornell University)·2021Open Access
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
arXiv (Cornell University)·2021· 62 citedOpen Access
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Frequent Co-authors

Daniel Cer(15), Yinfei Yang(13), Mandy Guo(12), Rami Al‐Rfou(11), Aditya Barua(9), Yun-Hsuan Sung(9), Brian Strope(8), Ray Kurzweil(8), Linting Xue(7), Mihir Kale(7), Steve Yuan(6), Chris Tar(6), Gustavo Hernández Ábrego(6), Orhan Fırat(6), Colin Raffel(5), Sharan Narang(5), Tu Vu(5), Brian Lester(5), Parker Riley(5), Aditya Siddhant(4)