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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 231240 of 423 papers

TitleStatusHype
Iterative Genetic Improvement: Scaling Stochastic Program Synthesis0
Learning Program Synthesis for Integer Sequences from ScratchCode1
GPT-based Open-Ended Knowledge TracingCode1
Learning logic programs by discovering where not to searchCode0
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions0
Explanatory Learning: Beyond Empiricism in Neural NetworksCode1
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesisCode0
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving0
From Examples to Rules: Neural Guided Rule Synthesis for Information ExtractionCode1
A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human LevelCode1
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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