Noah Constant

发表

Character-Level Language Modeling with Deeper Self-Attention

Noah Constant, Mandy Guo, Llion Jones, 2018, AAAI.

Universal Sentence Encoder pdf

Nan Hua, Ray Kurzweil, Noah Constant, 2018, ArXiv.

Learning Semantic Textual Similarity from Conversations

Ray Kurzweil, Noah Constant, Yinfei Yang, 2018, Rep4NLP@ACL.

The pragmatics of expressive content: Evidence from large corpora

Noah Constant, Christopher Potts, C. Davis, 2009 .

Multilingual Universal Sentence Encoder for Semantic Retrieval

Ray Kurzweil, Gustavo Hernández Ábrego, Noah Constant, 2019, ACL.

Universal Sentence Encoder for English

Nan Hua, Ray Kurzweil, Noah Constant, 2018, EMNLP.

Witnessable quantifiers license type-e meaning: Evidence from contrastive topic, equatives and supplements

Noah Constant, Noah Constant, 2012 .

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation

Jinlan Fu, Orhan Firat, Sebastian Ruder, 2021, EMNLP.

Topic Abstraction as the Source forNested Alternatives: A Conservative Semantics for Contrastive Topic

Noah Constant, 2012 .

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation

Noah Constant, Daniel Matthew Cer, Mohit Iyyer, 2022, ArXiv.

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Gerard de Melo, Andrew M. Dai, Christopher D. Manning, 2022, ArXiv.

Evidence from contrastive topic , equatives and supplements ∗

Noah Constant, 2013 .

Reducing Retraining by Recycling Parameter-Efficient Prompts

Noah Constant, Siamak Shakeri, Brian Lester, 2022, ArXiv.

Bidirectional Language Models Are Also Few-shot Learners

Mohammad Sadegh Rasooli, Colin Raffel, Chris Callison-Burch, 2022, 2209.14500.

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation

Noah Constant, Daniel Matthew Cer, Mohit Iyyer, 2022, EMNLP.

Character-Aware Models Improve Visual Text Rendering

Daniel H Garrette, Mohammad Norouzi, Noah Constant, 2022, ArXiv.

English rise-fall-rise: a study in the semantics and pragmatics of intonation

Noah Constant, 2012 .

The Power of Scale for Parameter-Efficient Prompt Tuning

Brian Lester, Noah Constant, Rami Al-Rfou, 2021, EMNLP.

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer pdf

Colin Raffel, Linting Xue, Noah Constant, 2020, NAACL.

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

Keith B. Hall, Noah Constant, Jianmo Ni, 2021, FINDINGS.

SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer pdf

Brian Lester, Noah Constant, Rami Al-Rfou, 2021, ACL.

TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling

David C. Uthus, Noah Constant, Mandy Guo, 2021, ArXiv.

MultiReQA: A Cross-Domain Evaluation forRetrieval Question Answering Models pdf

Noah Constant, Yinfei Yang, Daniel Cer, 2020, ADAPTNLP.

LAReQA: Language-agnostic Answer Retrieval from a Multilingual Pool

Noah Constant, Rami Al-Rfou, Aditya Barua, 2020, EMNLP.

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

Noah Constant, Yinfei Yang, Daniel Cer, 2019, EMNLP.

Contrastive Topic: Meanings and Realizations

Noah Constant, Noah Constant, 2014 .

Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution

Orhan Firat, Ankur P. Parikh, Noah Constant, 2021, NAACL.

nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?

Linting Xue, Noah Constant, Mihir Kale, 2021, ACL.

TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling pdf

Girish Kumar, Noah Constant, David Uthus, 2020, ACL.

FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation

Jan A. Botha, Orhan Firat, Noah Constant, 2022, arXiv.org.

ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models

Rami Al-Rfou, Colin Raffel, Noah Constant, 2021, Transactions of the Association for Computational Linguistics.

Effective Parallel Corpus Mining using Bilingual Sentence Embeddings

Keith Stevens, Ray Kurzweil, Gustavo Hernández Ábrego, 2018, WMT.

Towards Universality in Multilingual Text Rewriting pdf

Orhan Firat, Noah Constant, Xavier Garcia, 2021, ArXiv.

Character-Aware Models Improve Visual Text Rendering

Daniel H Garrette, Mohammad Norouzi, Noah Constant, 2022, ACL.

Mandarin 'even', `all' and the Trigger of Focus Movement

Noah Constant, Noah Constant, Chloe C. Gu, 2010 .

Bidirectional Language Models Are Also Few-shot Learners

Mohammad Sadegh Rasooli, Colin Raffel, Chris Callison-Burch, 2022, ICLR.

Bridging the Gap for Tokenizer-Free Language Models pdf

Noah Constant, Mandy Guo, Heeyoung Lee, 2019, ArXiv.

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

Keith B. Hall, Noah Constant, Daniel Matthew Cer, 2022, FINDINGS.

UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining

Hyung Won Chung, Orhan Firat, Noah Constant, 2023, ICLR.

On the Independence of Mandarin Aspectual and Contrastive Sentence-Final ne

Noah Constant, Noah Constant, 2011 .

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Ronan Le Bras, Stuart M. Shieber, Vinay Uday Prabhu, 2022, ArXiv.

Few-shot Query-oriented Summarization with Prefix-merging

Yinhan Liu, Rami Al-Rfou, Noah Constant, 2022 .

All Birds with One Stone: Multi-task Learning for Inference with One Forward Pass

Quentin de Laroussilhe, Stanislaw K. Jastrzebski, Daniel M. Ziegler, 2021 .

Making Small Language Models Better Few-Shot Learners

Karen Hambardzumyan, Yinhan Liu, Myle Ott, 2021 .

Is Cross-lingual Evaluation Only About Cross-lingual?

Daniel H Garrette, Noam M. Shazeer, Pranav Rajpurkar, 2021 .

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation

Noah Constant, Daniel Matthew Cer, Mohit Iyyer, 2022, EMNLP.

PAIRWISE PROXIMITY METRICS FOR TOPIC MODELLING EVALUATION BASED ON BERT EMBEDDINGS

Noah Constant, Nicole Limtiaco, A. Zubiaga, 2021 .