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 161170 of 423 papers

TitleStatusHype
Large Language Models Synergize with Automated Machine LearningCode0
From Solution Synthesis to Student Attempt Synthesis for Block-Based Visual Programming TasksCode0
Knowledge Refactoring for Inductive Program SynthesisCode0
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram ArchivesCode0
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)Code0
Knowledge-Driven Robot Program Synthesis from Human VR DemonstrationsCode0
Learning logic programs by discovering higher-order abstractionsCode0
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardwareCode0
HumanEval on Latest GPT Models -- 2024Code0
Learning logic programs by discovering where not to searchCode0
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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