Ben Mann
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Explainable Artificial Intelligence (XAI), Multimodal Machine Learning Applications, Software Engineering Research
Most-Cited Works
- → Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback(2022)360 cited
- → 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
- → Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned(2022)99 cited
- → In-context Learning and Induction Heads(2022)84 cited
- → The Capacity for Moral Self-Correction in Large Language Models(2023)48 cited
- → Discovering Language Model Behaviors with Model-Written Evaluations(2022)40 cited
- → Measuring Progress on Scalable Oversight for Large Language Models(2022)31 cited
- → A General Language Assistant as a Laboratory for Alignment(2021)27 cited