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Disjunctive Program Synthesis: A Robust Approach to Programming by Example

AAAI 2018 · Large language models › Agents, code and math · approach: Neural program synthesis and transpilation · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
synthesize disjunctive programs with execution-time selection instead of a single ranked program (ablation)PBE text and web extraction (PROSE DSLs) · Email extraction benchmarks (47 tasks)% tasks correct from one example: 59.6% -> 93.6%Helped
use disjunctive programs (multiple branches evaluated at execution) (ablation)PBE extraction programs · Email extraction benchmarksexecution time: 2.9x slowdownHurt

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