Mirac Süzgün
Stanford Medicine(US)Stanford University(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Artificial Intelligence in Healthcare and Education, Text Readability and Simplification, Sentiment Analysis and Opinion Mining
Most-Cited Works
- → Scaling Instruction-Finetuned Language Models(2022)1,181 cited
- → Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study(2023)409 cited
- → Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them(2023)197 cited
- → Holistic Evaluation of Language Models(2022)115 cited
- → Language Models are Multilingual Chain-of-Thought Reasoners(2022)52 cited
- → Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models(2022)34 cited
- → Coding Inequity: Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare(2023)30 cited
- → Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages(2019)29 cited
- → When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization(2023)29 cited