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D cubic B-spline basis. Further, before G, N_{\mathrm{novel}}{=}4 novel views; all images are resized to, ×10−51\times 10^{-4}\!\rightarrow\!1\times 10^{-5}, EMA decay 0.9995, and runs for
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DPO's reliance on a reference policy can backfire, prematurely halting learning when the reference is pessimistically wrong, but a simple one-line fix can significantly improve performance.
LLMs learn better from AI *reward* than AI *preference*, leading to higher human-AI agreement and improved performance compared to standard online AI feedback and RLHF.