[论文] Program-as-Weights: A Programming Paradigm for Fuzzy Functions

论文概要

研究领域: cs.LG, cs.AI, cs.CL
作者: Wentao Zhang, Liliana Hotsko, Woojeong Kim, Pengyu Nie, Stuart Shieber, Yuntian Deng
发布时间: 2026-07-02
arXiv: 2607.02512

摘要

We propose fuzzy-function programming: compiling natural-language specifications into compact, locally-executable neural artifacts. We instantiate this with Program-as-Weights (PAW), in which a 4B compiler emits parameter-efficient adapters for a frozen, lightweight interpreter. A 0.6B interpreter executing PAW programs matches Qwen3-32B performance.

自动采集于 2026-08-28

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