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Beijing Tongming Lake Information Technology Application Innovation Center (TLAIC), Fudan University Institute of Systems for Advanced Computing
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A single backward pass can fundamentally alter training outcomes based on how it reuses low-precision forward-pass tensors, defying standard accuracy checks.
Low-precision matrix multiplication, even when repaired for accuracy, can break LLM prefix invariance and alter downstream task performance, necessitating a new certification approach.
An off-the-shelf coding agent can uncover hundreds of buggy submissions that official test suites miss, reshaping how we evaluate code correctness.
A single shared intervention in the query-key channel can stabilize low-precision transformer training, eliminating the need for individual fault repairs.
