SOTAVerified

Program Synthesis

Program synthesis is the process of automatically generating a program or code snippet that satisfies a given specification or set of requirements. This can include generating code from a formal specification, a natural language description, or example inputs and outputs. The primary goal of program synthesis is to minimize human intervention in the coding process, reduce errors, and improve productivity.

Program synthesis often involves the use of advanced algorithms, artificial intelligence, and machine learning techniques to search the space of possible programs that meet the given constraints. This process can be guided by a variety of techniques, such as constraint solving, symbolic execution, and genetic algorithms.

Papers

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Showing 221–230 of 423 papers

TitleStatusHype
Synthesizing Programs with Continuous Optimization—0
Synthesizing world models for bilevel planning—0
Synthetic Datasets for Neural Program Synthesis—0
System 2 Reasoning via Generality and Adaptation—0
TerpreT: A Probabilistic Programming Language for Program Induction—0
The Program Testing Ability of Large Language Models for Code—0
Correct and Optimal: the Regular Expression Inference Challenge—0
Time Series Structure Discovery via Probabilistic Program Synthesis—0
Solving the Families In the Wild Kinship Verification Challenge by Program Synthesis—0
Toward Code Generation: A Survey and Lessons from Semantic Parsing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DrRepairSuccess rate @budget 10038.5—Unverified
2Multiclass localizerSuccess rate @budget 10034.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DrRepairSuccess rate @budget 10057—Unverified
2Multiclass localizerSuccess rate @budget 10053.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CodeTrans-MT-TF-SmallAccuracy90.31—Unverified