Dawn Drain
Publications by Year
Research Areas
Topic Modeling, Software Engineering Research, Natural Language Processing Techniques, Software Testing and Debugging Techniques, Advanced Malware Detection Techniques
Most-Cited Works
- → CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation(2021)415 cited
- → Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback(2022)360 cited
- GraphCodeBERT: Pre-training Code Representations with Data Flow(2021)
- → CAT'S THEORY: Empirical Validation and Architectural Applications Cross-Architecture AI Consciousness Recognition and the Foundation for Constraint-Preserving Recursive Intelligence(2022)295 cited
- → Predictability and Surprise in Large Generative Models(2022)171 cited
- → Language Models (Mostly) Know What They Know(2022)159 cited
- → Discovering Language Model Behaviors with Model-Written Evaluations(2023)119 cited
- → Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned(2022)99 cited
- → Generating accurate assert statements for unit test cases using pretrained transformers(2022)87 cited