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Pinpointing exactly where humans end and LLMs begin in co-authored text is now possible, thanks to a clever adaptation of time-series change point detection.
Kernel smoothing, a classic technique from nonparametric statistics, can make reinforcement learning with LLMs more sample efficient.
