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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 91100 of 423 papers

TitleStatusHype
AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz TestingCode1
CrossBeam: Learning to Search in Bottom-Up Program SynthesisCode1
Analyzing the Effectiveness of Large Language Models on Text-to-SQL SynthesisCode1
Data types as a more ergonomic frontend for Grammar-Guided Genetic ProgrammingCode1
OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System VerificationCode1
RLTF: Reinforcement Learning from Unit Test FeedbackCode1
KEN: Kernel Extensions using Natural LanguageCode1
A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selectionCode0
ChatGPT for GTFS: Benchmarking LLMs on GTFS Understanding and RetrievalCode0
Learning logic programs by combining programsCode0
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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