arXiv:2408.12212
공식 코드 · Papers with Code
Relational decomposition for program synthesis
원문 초록
We introduce a novel approach to program synthesis that decomposes complex functional tasks into simpler relational synthesis sub-tasks. We demonstrate the effectiveness of our approach using an off-the-shelf inductive logic programming (ILP) system on three challenging datasets. Our results show that (i) a relational representation can outperform a functional one, and (ii) an off-the-shelf ILP system with a relational encoding can outperform domain-specific approaches.
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Learning MDL logic programs from noisy data
Learning logic programs by discovering higher-order abstractions
Relational program synthesis with numerical reasoning
Learning programs with magic values
Learning logic programs by combining programs
Learning logic programs by discovering where not to search
토론
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