A research paper titled "Lightning Weave" proposes improving the accuracy-efficiency frontier of reasoning models through capability composition, arguing that jointly improving reasoning accuracy and inference efficiency is challenging because the two objectives can favor different reasoning behaviors. The work notes that independently post-trained models already offer distinct strengths that can be composed.
A core goal of efficient reasoning is to improve the accuracy-efficiency frontier. However, jointly improving reasoning accuracy and inference efficiency can be challenging, as the two objectives can favor different reasoning behaviors. Independently post-trained models already offer distinct streng
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