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cs.LG2026
Learning from Evolving Errors: Adaptive Iterative Repair for On-Policy Distillation
Rui Li, Liyang He, Zheng Zhang +3
On-policy self-distillation (OPSD) supplies dense token-level feedback on trajectories sampled from the student's own policy, a richer training signal than the outcome-level reward…
cs.GR2026
CubicSplat: Differentiable Vector Graphics via Error-Bounded Forward Relaxation
Chenglong Liu, Xin Zhang, Yimeng Zhu +5
Vector graphics are prized for their resolution independence, compact storage, and direct editability, making differentiable optimization of their parametric primitives an attracti…