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 8190 of 423 papers

TitleStatusHype
Incremental Sampling Without Replacement for Sequence ModelsCode1
GPIoT: Tailoring Small Language Models for IoT Program Synthesis and DevelopmentCode1
Constrained Decoding for Fill-in-the-Middle Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive GrammarsCode1
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learningCode1
Large Language Models for Code: Security Hardening and Adversarial TestingCode1
Automatic Program Synthesis of Long Programs with a Learned Garbage CollectorCode1
Data types as a more ergonomic frontend for Grammar-Guided Genetic ProgrammingCode1
Learning to Combine Per-Example Solutions for Neural Program SynthesisCode1
Automating the Design of Multigrid Methods with Evolutionary Program SynthesisCode1
Enhancing Network Management Using Code Generated by Large Language ModelsCode1
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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