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 376400 of 423 papers

TitleStatusHype
The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase SelectionCode0
SPoC: Search-based Pseudocode to CodeCode0
P-Tree ProgrammingCode0
WatChat: Explaining perplexing programs by debugging mental modelsCode0
Learning logic programs by discovering higher-order abstractionsCode0
DALex: Lexicase-like Selection via Diverse AggregationCode0
NAPS: Natural Program Synthesis DatasetCode0
Recent Advances in Neural Program SynthesisCode0
Transductively Informed Inductive Program SynthesisCode0
Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural RepresentationsCode0
Stepping Stones to Inductive Synthesis of Low-Level Looping ProgramsCode0
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardwareCode0
Neural Guided Constraint Logic Programming for Program SynthesisCode0
BF++: a language for general-purpose program synthesisCode0
Relational decomposition for program synthesisCode0
Exploring Data Augmentation for Code Generation TasksCode0
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior AnalysisCode0
Transformer-based Program Synthesis for Low-Data EnvironmentsCode0
SwissNYF: Tool Grounded LLM Agents for Black Box SettingCode0
Neural Program Synthesis from Diverse Demonstration VideosCode0
Explainable Natural Language to Bash Translation using Abstract Syntax TreeCode0
Neural Program Synthesis with Priority Queue TrainingCode0
Autoencoders as Tools for Program SynthesisCode0
Large Language Models Synergize with Automated Machine LearningCode0
Evaluating Sequence-to-Sequence Learning Models for If-Then Program SynthesisCode0
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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