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About this paper
Baichuan Huang, Ananth Balashankar, Amir Aminifar
The authors present a forward-only method using SVD components and activation angle concentration to shortlist matrices for rank reduction. Validation accuracy selects retained ranks. On GPT-J-6B, the hierarchical method reaches 58.4% on FEVER, versus 50.2% for direct inference, with a reported 37.4× search-complexity speedup over LASER. This does not establish universal accuracy gains or end-to-end serving latency savings.
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