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 251260 of 423 papers

TitleStatusHype
Refinement Type Directed Search for Meta-Interpretive-Learning of Higher-Order Logic Programs0
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis0
Report of the Workshop on Program Synthesis for Scientific Computing0
Representing Partial Programs with Blended Abstract Semantics0
Research Vision: Multi-Agent Path Planning for Cops And Robbers Via Reactive Synthesis0
RLSF: Reinforcement Learning via Symbolic Feedback0
Runtime phylogenetic analysis enables extreme subsampling for test-based problems0
Sampling for Bayesian Program Learning0
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions0
Satisfiability and Synthesis Modulo Oracles0
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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