AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 10 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
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.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.