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 201–210 of 423 papers

TitleStatusHype
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generatorsCode0
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis—0
Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems—0
Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets—0
Bayesian Program Learning by Decompiling Amortized Knowledge—0
Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism—0
Natural Language Commanding via Program Synthesis—0
Knowledge-Driven Robot Program Synthesis from Human VR DemonstrationsCode0
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion—0
Learning-Based Automatic Synthesis of Software Code and Configuration—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