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 331340 of 423 papers

TitleStatusHype
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learningCode1
PLANS: Robust Program Learning from Neurally Inferred SpecificationsCode0
Graph-based, Self-Supervised Program Repair from Diagnostic FeedbackCode1
Guiding Program Synthesis by Learning to Generate ExamplesCode1
Learning large logic programs by going beyond entailment0
Knowledge Refactoring for Inductive Program SynthesisCode0
Creating Synthetic Datasets via Evolution for Neural Program Synthesis0
TF-Coder: Program Synthesis for Tensor ManipulationsCode1
Learning Compositional Rules via Neural Program SynthesisCode1
Incremental Sampling Without Replacement for Sequence ModelsCode1
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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