Noah Constant

According to our database1, Noah Constant authored at least 34 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Transfer Learning for Text Diffusion Models.
CoRR, 2024

2023
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.
CoRR, 2023

Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?
CoRR, 2023

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.
CoRR, 2023

Bidirectional Language Models Are Also Few-shot Learners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Character-Aware Models Improve Visual Text Rendering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models.
Trans. Assoc. Comput. Linguistics, 2022

FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation.
CoRR, 2022

Reducing Retraining by Recycling Parameter-Efficient Prompts.
CoRR, 2022

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Towards Universality in Multilingual Text Rewriting.
CoRR, 2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.
CoRR, 2021

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

The Power of Scale for Parameter-Efficient Prompt Tuning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension.
CoRR, 2020

TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling.
CoRR, 2020

MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models.
CoRR, 2020

LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multilingual Universal Sentence Encoder for Semantic Retrieval.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019
Bridging the Gap for Tokenizer-Free Language Models.
CoRR, 2019

ReQA: An Evaluation for End-to-End Answer Retrieval Models.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Character-Level Language Modeling with Deeper Self-Attention.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Universal Sentence Encoder.
CoRR, 2018

Effective Parallel Corpus Mining using Bilingual Sentence Embeddings.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Learning Semantic Textual Similarity from Conversations.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Universal Sentence Encoder for English.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018


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