AI RESEARCH
Pangu-ACE: Adaptive Cascaded Experts for Educational Response Generation on EduBench
arXiv CS.CL
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ArXi:2604.14828v1 Announce Type: new Educational assistants should spend computation only when the task needs it. This paper rewrites our earlier draft around the system that was actually implemented and archived in the repository: a sample-level 1B to 7B cascade for the shared-8 EduBench benchmark. The final system, Pangu-ACE, uses a 1B tutor-router to produce a draft answer plus routing signals, then either accepts the draft or escalates the sample to a 7B specialist prompt.