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 241–250 of 423 papers

TitleStatusHype
CORNET: Learning Table Formatting Rules By Example—0
PanGu-Coder: Program Synthesis with Function-Level Language ModelingCode0
GitHub Copilot AI pair programmer: Asset or Liability?Code0
From Perception to Programs: Regularize, Overparameterize, and Amortize—0
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams—0
Functional Code Building Genetic Programming—0
Learning logic programs by combining programsCode0
The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase SelectionCode0
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis—0
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis—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