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 326–350 of 423 papers

TitleStatusHype
Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis—0
Multi-Plane Program Induction with 3D Box Priors—0
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving—0
Natural Language Commanding via Program Synthesis—0
Natural- to formal-language generation using Tensor Product Representations—0
Learning Fitness Functions for Machine Programming—0
Neural-guided, Bidirectional Program Search for Abstraction and Reasoning—0
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples—0
Neural-Guided Program Synthesis of Information Extraction Rules Using Self-Supervision—0
Neural Program Planner for Structured Predictions—0
Neural Program Search: Solving Data Processing Tasks from Description and Examples—0
Neural Program Search: Solving Programming Tasks from Description and Examples—0
Neural Program Synthesis By Self-Learning—0
Neural Program Synthesis with a Differentiable Fixer—0
Neural Program Synthesis with Query—0
Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints—0
Neuro-Symbolic Program Synthesis—0
Learning to Execute Programs with Instruction Pointer Attention Graph Neural NetworksCode0
Probabilistic Lexicase SelectionCode0
Learning to Infer Graphics Programs from Hand-Drawn ImagesCode0
Learning to Infer Program SketchesCode0
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST RepresentationCode0
Learning to Reason via Program Generation, Emulation, and SearchCode0
"Why did you do that?": Explaining black box models with Inductive SynthesisCode0
Toward Neural-Network-Guided Program Synthesis and VerificationCode0
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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