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Researchers demonstrate that a linear program can optimize AI weight edits to fix reasoning loops. This method replaces an eight-hour search with a one-minute solve, improving Qwen3.5-0.8B math accuracy from 7.9% to 48.1% by changing only 0.016% of weights. The technique also boosts IFEval scores from 21% to 62% for small models.
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