SPINE: Scaling up Programming-by-Negative-Example for String Filtering and Transformation
Summary: SPINE scales PBE for string filtering by synthesizing positive-consistent programs first, then lazily validating negatives via DP search; avoids exponential blowup. Extends to string transformation; achieves superior scalability over prior work. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Chaoji Zuo (Rutgers University)
- 2. Sepehr Assadi (Rutgers University)
- 3. Dong Deng (Rutgers University)
BibTeX Citation
@inproceedings{zuo_sigmod22,
title = {{SPINE: Scaling up Programming-by-Negative-Example for String Filtering and Transformation}},
author = {Zuo, Chaoji and Assadi, Sepehr and Deng, Dong},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517908},
url = {https://dl.acm.org/doi/10.1145/3514221.3517908},
year = {2022}
}
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