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 251–275 of 423 papers

TitleStatusHype
AutoTSG: Learning and Synthesis for Incident Troubleshooting—0
Autoformalization with Large Language Models—0
Transformer-based Program Synthesis for Low-Data EnvironmentsCode0
Neural Program Synthesis with Query—0
From Solution Synthesis to Student Attempt Synthesis for Block-Based Visual Programming TasksCode0
Example-based Synthesis of Static Analysis Rules—0
What If: Generating Code to Answer Simulation QuestionsCode0
Population Diversity Leads to Short Running Times of Lexicase Selection—0
Landmarks and Regions: A Robust Approach to Data Extraction—0
Compositional Generalization and Decomposition in Neural Program Synthesis—0
Efficient Pragmatic Program Synthesis with Informative Specifications—0
Iterative Genetic Improvement: Scaling Stochastic Program Synthesis—0
Learning logic programs by discovering where not to searchCode0
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions—0
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesisCode0
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving—0
Stress Rules from Surface Forms: Experiments with Program Synthesis—0
Differentiable Synthesis of Program Architectures—0
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior AnalysisCode0
Solving Visual Analogies Using Neural Algorithmic Reasoning—0
Solving Linear Algebra by Program Synthesis—0
Solving Linear Algebra by Program Synthesis—0
Solving Probability and Statistics Problems by Program Synthesis—0
Solving Probability and Statistics Problems by Program Synthesis—0
Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming—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