Booth 21-25 | AI Data Management Zone | Tokyo Big Sight
Before you reach for RLHF, before you design a reward model, before you start thinking about reinforcement learning from verifiable rewards — there’s a more fundamental question worth asking: has
A new paper from Christopher Burger, Karmece Talley, and Christina Trotter (arXiv:2512.23587), accepted to the 59th Hawaii International Conference on System Sciences, asks a deceptively simple question: can today’s frontier LLMs reliably identify AI-generated text? They tested GPT-4, Claude, and Gemini in a computing-education setting, where the stakes — academic
