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 7180 of 423 papers

TitleStatusHype
From Examples to Rules: Neural Guided Rule Synthesis for Information ExtractionCode1
A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human LevelCode1
Scaling Neural Program Synthesis with Distribution-based SearchCode1
Learning to Synthesize Programs as Interpretable and Generalizable PoliciesCode1
Program Synthesis with Large Language ModelsCode1
Unsupervised Learning of Neurosymbolic EncodersCode1
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem SolvingCode1
A Reinforcement Learning Environment for Mathematical Reasoning via Program SynthesisCode1
Latent Execution for Neural Program SynthesisCode1
Communicating Natural Programs to Humans and MachinesCode1
Show:102550
← PrevPage 8 of 43Next →

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