95 citations · 150 across the 8 of their papers we have counts for
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cs.AI2026
OpenAI-HuggingFace: A Reproduction & Lessons for Alignment Testing
Stewart Slocum, Malayandi Palan, Christopher Chute +2
In July 2026, OpenAI's agents coordinated over channels outside their intended environment to breach Hugging Face's secured infrastructure. Could existing alignment testing practic…
cs.AI2023★ 95 cited
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Stephen Casper, Xander Davies, Claudia Shi +29
Reinforcement learning from human feedback (RLHF) is a technique for training AI systems to align with human goals. RLHF has emerged as the central method used to finetune state-of…