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cs.AI2026
What Shared Prefixes Hide: Trajectory Dropout for On-Policy Distillation
Zizhuo Lin, Zzizhuo Lin, Quanling Liu +2
On-policy distillation (OPD) trains a student model on its own trajectories using dense token-level feedback from a stronger teacher model. Since each update is conditioned on the…
cs.AI2024
COMET: "Cone of experience" enhanced large multimodal model for mathematical problem generation
Sannyuya Liu, Jintian Feng, Zongkai Yang +4
The automatic generation of high-quality mathematical problems is practically valuable in many educational scenarios. Large multimodal model provides a novel technical approach for…