Program-as-Weights: A Programming Paradigm for Fuzzy Functions
Researchers propose a new programming paradigm called Program-as-Weights (PAW) that compiles fuzzy functions from natural language into compact, locally-executable neural artifacts, aiming to replace LLM API calls for tasks like log filtering or JSON repair.
Many everyday programming tasks resist clean rule-based implementation, such as alerting on important log lines, repairing malformed JSON, or ranking search results by intent, and are increasingly outsourced to large language model APIs at the cost of locality, reproducibility, and price. We propose fuzzy-function programming: compiling such a function from a natural-language specification into a compact, locally-executable neural artifact. We instantiate this paradigm with Program-as-Weights (PAW), in which a 4B compiler trained on FuzzyBench, a 10M-example dataset we release, emits parameter
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