Jason Phang
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening(2019)655 cited
- → The Pile: An 800GB Dataset of Diverse Text for Language Modeling(2020)483 cited
- → GPT-NeoX-20B: An Open-Source Autoregressive Language Model(2022)383 cited
- → Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks(2018)258 cited
- → An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization(2020)196 cited
- → Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?(2020)167 cited
- → BBQ: A hand-built bias benchmark for question answering(2022)120 cited
- → Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs(2019)91 cited
- → Do Attention Heads in BERT Track Syntactic Dependencies?(2019)88 cited