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 141150 of 423 papers

TitleStatusHype
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis0
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis0
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generatorsCode0
RLTF: Reinforcement Learning from Unit Test FeedbackCode1
Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems0
Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets0
Bayesian Program Learning by Decompiling Amortized Knowledge0
Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism0
Natural Language Commanding via Program Synthesis0
Knowledge-Driven Robot Program Synthesis from Human VR DemonstrationsCode0
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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