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 221230 of 423 papers

TitleStatusHype
HOTGP -- Higher-Order Typed Genetic Programming0
Improved Tree Search for Automatic Program Synthesis0
Hierarchical Neural Program Synthesis0
A Neurodiversity-Inspired Solver for the Abstraction \& Reasoning Corpus (ARC) Using Visual Imagery and Program Synthesis0
Complex QA and language models hybrid architectures, Survey0
Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems0
Exploring Data Augmentation for Code Generation TasksCode0
MTGP: Combining Metamorphic Testing and Genetic Programming0
A Divide-Align-Conquer Strategy for Program Synthesis0
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving0
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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