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 371380 of 423 papers

TitleStatusHype
Learning Semantics-aware Search Operators for Genetic Programming0
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis0
Learning to select examples for program synthesis0
Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation0
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context0
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis0
Leveraging Language to Learn Program Abstractions and Search Heuristics0
Limits of an AI program for solving college math problems0
LLM4TDD: Best Practices for Test Driven Development Using Large Language Models0
LLM for SoC Security: A Paradigm Shift0
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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