Stella Biderman
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI), Artificial Intelligence in Healthcare and Education
Most-Cited Works
- → Multitask Prompted Training Enables Zero-Shot Task Generalization(2021)561 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
- → GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow(2021)317 cited
- → Crosslingual Generalization through Multitask Finetuning(2023)312 cited
- → RWKV: Reinventing RNNs for the Transformer Era(2023)281 cited
- → OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization(2024)252 cited
- → VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance(2022)252 cited
- → Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets(2022)163 cited