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 151–200 of 423 papers

TitleStatusHype
Autoencoders as Tools for Program SynthesisCode0
Neural Guided Constraint Logic Programming for Program SynthesisCode0
GitHub Copilot AI pair programmer: Asset or Liability?Code0
NAPS: Natural Program Synthesis DatasetCode0
Neural Program Synthesis from Diverse Demonstration VideosCode0
Novel positional encodings to enable tree-based transformersCode0
Coffee: Boost Your Code LLMs by Fixing Bugs with FeedbackCode0
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generatorsCode0
MathDSL: A Domain-Specific Language for Concise Mathematical Solutions Via Program SynthesisCode0
Generating Programmatic Referring Expressions via Program SynthesisCode0
Generating Pragmatic Examples to Train Neural Program SynthesizersCode0
Memory Augmented Policy Optimization for Program Synthesis and Semantic ParsingCode0
Making sense of sensory inputCode0
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem ProvingCode0
LTL learning on GPUsCode0
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST RepresentationCode0
Learning to Reason via Program Generation, Emulation, and SearchCode0
Learning to Infer Graphics Programs from Hand-Drawn ImagesCode0
HOUDINI: Lifelong Learning as Program SynthesisCode0
Learning to Infer Program SketchesCode0
From Solution Synthesis to Student Attempt Synthesis for Block-Based Visual Programming TasksCode0
Learning logic programs by combining programsCode0
Learning to Execute Programs with Instruction Pointer Attention Graph Neural NetworksCode0
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardwareCode0
Learning logic programs through divide, constrain, and conquerCode0
Learning logic programs by discovering where not to searchCode0
Learning MDL logic programs from noisy dataCode0
Learning logic programs by discovering higher-order abstractionsCode0
Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning EnvironmentsCode0
SwissNYF: Tool Grounded LLM Agents for Black Box SettingCode0
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis—0
Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming—0
Execution-Guided Neural Program Synthesis—0
Example-based Synthesis of Static Analysis Rules—0
Chemical classification program synthesis using generative artificial intelligence—0
A Genetic Programming Approach To Zero-Shot Neural Architecture Ranking—0
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation—0
Can LLMs plan paths with extra hints from solvers?—0
Can Large Language Models Understand Symbolic Graphics Programs?—0
Procedural Adherence and Interpretability Through Neuro-Symbolic Generative Agents—0
EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model—0
Can humans teach machines to code?—0
Efficient Pragmatic Program Synthesis with Informative Specifications—0
Effective Adaptive Mutation Rates for Program Synthesis—0
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration—0
A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM—0
Adversarial Synthetic Datasets for Neural Program Synthesis—0
EcoSearch: A Constant-Delay Best-First Search Algorithm for Program Synthesis—0
Dynamic Neural Program Embeddings for Program Repair—0
Dreaming with ARC—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