May 13, 2024, 4:42 a.m. | Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger

cs.LG updates on arXiv.org arxiv.org

arXiv:2308.07899v2 Announce Type: replace
Abstract: We propose regular expression inference (REI) as a challenge for code/language modelling, and the wider machine learning community. REI is a supervised machine learning (ML) and program optimisation task, and poses the problem of finding minimal regular expressions from examples: Given two finite sets of strings $P$ and $N$ and a cost function $cost(\cdot)$, the task is to generate an expression $r$ that accepts all strings in $P$ and rejects all strings in $N$, while …

abstract arxiv challenge code community cs.cl cs.fl cs.lg examples inference language language modelling machine machine learning modelling optimisation replace strings supervised machine learning type

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