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

Showing 341350 of 423 papers

TitleStatusHype
PLANS: Robust Program Learning from Neurally Inferred SpecificationsCode0
Learning large logic programs by going beyond entailment0
Knowledge Refactoring for Inductive Program SynthesisCode0
Creating Synthetic Datasets via Evolution for Neural Program Synthesis0
Evaluating Sequence-to-Sequence Learning Models for If-Then Program SynthesisCode0
Unsupervised Program Synthesis for Images By Sampling Without Replacement0
CounterExample Guided Neural Synthesis0
Generating Programmatic Referring Expressions via Program SynthesisCode0
Towards Neural-Guided Program Synthesis for Linear Temporal Logic Specifications0
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence GenerationCode0
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Benchmark Results

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