Kenton Lee

Natural Questions: A Benchmark for Question Answering Research

Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield et al. · Transactions of the Association for Computational Linguistics · 2019 · 1.9K citations · Full text

Natural Language Processing, Engineering, Information Retrieval +15

Deep Contextualized Word Representations

Matthew E. Peters, Mark E Neumann, Mohit Iyyer et al. · 2018 · 1.8K citations · Full text

Engineering, Language Processing, Word Embeddings +16

REALM: Retrieval-Augmented Language Model Pre-Training

Kelvin Guu, Kenton Lee, Zora Tung et al. · arXiv (Cornell University) · 2020 · 513 citations · Full text

Llm Fine-tuning, Engineering, Multilingual Pretraining +17

Deep Semantic Role Labeling: What Works and What’s Next

Luheng He, Kenton Lee, Mike Lewis et al. · 2017 · 451 citations · Full text

Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Iulia Turc, Ming‐Wei Chang, Kenton Lee et al. · arXiv (Cornell University) · 2019 · 428 citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +28