John Hewitt

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli et al. · arXiv (Cornell University) · 2021 · 2.1K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20

Lost in the Middle: How Language Models Use Long Contexts

Nelson F. Liu, Kevin Lin, John Hewitt et al. · Transactions of the Association for Computational Linguistics · 2024 · 684 citations · Full text

Engineering, Multilingual Pretraining, Large Language Model +20

Designing and Interpreting Probes with Control Tasks

John Hewitt, Percy Liang · 2019 · 397 citations · Full text

Engineering, Measurement, Language Processing +20

Emergent linguistic structure in artificial neural networks trained by self-supervision

Christopher D. Manning, Kevin B. Clark, John Hewitt et al. · Proceedings of the National Academy of Sciences · 2020 · 325 citations · Full text

Artificial Intelligence, Masked Word, Structured Prediction +21

Learning Translations via Images with a Massively Multilingual Image Dataset

John Hewitt, Daphne Ippolito, Brendan Callahan et al. · 2018 · 43 citations · Full text

Engineering, Machine Learning, Mathematical Linguistics +23