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Corpus-Guided Top-Down Synthesis For Efficient Library Learning.pdf

stitch_jul11.pdf
Preview of Corpus-Guided Top-Down Synthesis for Efficient Library Learning
🔗 Source: mlb2251.github.io
📊 Size: 4.04 MB
📄 Pages: 42 pages
⬇️ Downloads: 142

Summary

Unlike existing deductive approaches that refactor programs to expose shared structure, Stitch uses corpus-guided top-down synthesis.

Key Points:

Problem: Programmers often encapsulate common functionality using abstractions to simplify code. Stitch aims to automatically learn these useful abstractions from a corpus of DSL programs.
 Approach:
Stitch builds abstractions directly from initial DSL primitives.
 It uses syntactic pattern matching to intelligently prune the search space, focusing on abstractions that capture shared structures in the corpus.
Advantages:
 Speed: Stitch is 3-4 orders of magnitude faster than state-of-the-art deductive library learning algorithms like DreamCoder.
Memory Efficiency: It uses 2 orders of magnitude less memory.
 Quality: Stitch maintains comparable or better library quality, measured by compressivity.
* Scalability: Stitch successfully handles large corpora containing hundreds of complex programs that are intractable for prior deductive approaches. It also robustly handles early stopping, allowing it to scale to challenging datasets.

Conclusion:

Stitch offers a fast, memory-efficient, and scalable method for learning useful library abstractions directly from code corpora, paving the way for more automated and intelligent program synthesis.

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Description

This approach is implemented in the tool Stitch.

Technical Information

  • File Format: PDF
  • File Size: 4.04 MB
  • Pages: 42
  • Language: EN
  • Total Downloads: 142
  • Last Updated: 3 weeks ago

Document Overview

This PDF document about Corpus-Guided Top-Down Synthesis for Efficient Library Learning provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Corpus-Guided Top-Down Synthesis for Efficient Library Learning.

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Corpus-Guided guideCorpus-Guided tutorialTop-Down guideTop-Down tutorialSynthesis guideSynthesis tutorialEfficient guideEfficient tutorialLibrary guideLibrary tutorialLearning guideLearning tutorial

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