Reproduce “WeightLoop: Weight-Space Programming with Experimental Feedback” on OpenResearch

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About this paper

Mengran Li, Bo Li, Weijing Zhao, Chengyang Zhang, Boyu Zhang, Jinfeng Xu, Zelin Zang, Victor C. M. Leung and 1 more

WeightLoop lets assay results update a predictor ranking later candidates. A fixed editor, constructed once by an LLM, tests bounded changes to output weights against measured outcomes; it preserves the representation and starts each update from original parameters. In offline replay, targeted edits improved ranking utility over the unchanged model in seven of eight settings, without establishing biological efficacy.

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