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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 271280 of 423 papers

TitleStatusHype
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem SolvingCode1
Unsupervised Learning of Neurosymbolic EncodersCode1
Satisfiability and Synthesis Modulo Oracles0
A Reinforcement Learning Environment for Mathematical Reasoning via Program SynthesisCode1
Latent Execution for Neural Program SynthesisCode1
SpreadsheetCoder: Formula Prediction from Semi-structured Context0
Leveraging Language to Learn Program Abstractions and Search Heuristics0
Communicating Natural Programs to Humans and MachinesCode1
Learning to Combine Per-Example Solutions for Neural Program SynthesisCode1
Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology ProblemsCode0
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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