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

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Showing 151–160 of 423 papers

TitleStatusHype
AbstractBeam: Enhancing Bottom-Up Program Synthesis using Library Learning—0
RLSF: Reinforcement Learning via Symbolic Feedback—0
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff—0
Learning to Reason via Program Generation, Emulation, and SearchCode0
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis—0
Analogical proportions II—0
Finding structure in logographic writing with library learning—0
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus—0
Large Language Models Synergize with Automated Machine LearningCode0
PhilHumans: Benchmarking Machine Learning for Personal Health—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DrRepairSuccess rate @budget 10038.5—Unverified
2Multiclass localizerSuccess rate @budget 10034.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DrRepairSuccess rate @budget 10057—Unverified
2Multiclass localizerSuccess rate @budget 10053.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CodeTrans-MT-TF-SmallAccuracy90.31—Unverified