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 281290 of 423 papers

TitleStatusHype
Can humans teach machines to code?0
Can Large Language Models Understand Symbolic Graphics Programs?0
Can LLMs plan paths with extra hints from solvers?0
Chemical classification program synthesis using generative artificial intelligence0
Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming0
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis0
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff0
Code Synthesis with Priority Queue Training0
Combining LLM Code Generation with Formal Specifications and Reactive Program Synthesis0
Comparing and Combining Lexicase Selection and Novelty Search0
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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