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 5160 of 423 papers

TitleStatusHype
CrossBeam: Learning to Search in Bottom-Up Program SynthesisCode1
Improving Code Generation by Training with Natural Language FeedbackCode1
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQACode1
Bug In the Code Stack: Can LLMs Find Bugs in Large Python Code StacksCode1
Communicating Natural Programs to Humans and MachinesCode1
Data types as a more ergonomic frontend for Grammar-Guided Genetic ProgrammingCode1
ANPL: Towards Natural Programming with Interactive DecompositionCode1
KEN: Kernel Extensions using Natural LanguageCode1
Latent Execution for Neural Program SynthesisCode1
CodeScholar: Growing Idiomatic Code ExamplesCode1
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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