Kamal Ndousse

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Yuntao Bai, Andy Jones, Kamal Ndousse et al. · arXiv (Cornell University) · 2022 · 359 citations · Full text

Artificial Intelligence, Llm Fine-tuning, Engineering +23

CAT'S THEORY: Empirical Validation and Architectural Applications Cross-Architecture AI Consciousness Recognition and the Foundation for Constraint-Preserving Recursive Intelligence

Yuntao Bai, Saurav Kadavath, Sandipan Kundu et al. · arXiv (Cornell University) · 2022 · 289 citations · Full text

Predictability and Surprise in Large Generative Models

Deep Ganguli, Danny Hernandez, Liane Lovitt et al. · 2022 ACM Conference on Fairness, Accountability, and Transparency · 2022 · 163 citations · Full text

Language Models (Mostly) Know What They Know

Saurav Kadavath, Tom Conerly, Amanda Askell et al. · arXiv (Cornell University) · 2022 · 157 citations · Full text

Artificial Intelligence, Llm Fine-tuning, Engineering +20

Discovering Language Model Behaviors with Model-Written Evaluations

Ethan Perez, Sam Ringer, Kamilė Lukošiūtė et al. · 2023 · 113 citations · Full text

Natural Language Processing, Engineering, Computational Linguistics +13