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GAD-RL is introduced, which adaptively regulates teacher supervision during joint post-training according to the student's current task performance and local distributions, and weights forward KL by the student's probability of the teacher's Top-1 token, moderating local auxiliary updates when student support for that...
Domain experts trained from a shared checkpoint can transfer their specialized capabilities to a single student through on-policy distillation (OPD). Existing research primarily focuses on improving this merging process, while the algorithms used to train the experts have received limited systematic comparison. We inve...
This work presents Infinity-Parser2, a large multimodal model that couples a controllable data-synthesis pipeline with multi-task reinforcement learning for end-to-end document parsing, addressing the persistent scarcity of faithfully annotated parsing corpora.
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