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 151–175 of 423 papers

TitleStatusHype
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines—0
AbstractBeam: Enhancing Bottom-Up Program Synthesis using Library Learning—0
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities—0
ImageEye: Batch Image Processing Using Program Synthesis—0
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis—0
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving—0
Automated Generation of Executable Cross-Language Background Knowledge—0
Hierarchical Neural Program Synthesis—0
Analogical proportions II—0
Interpreting Expert Annotation Differences in Animal Behavior—0
h4rm3l: A language for Composable Jailbreak Attack Synthesis—0
Automated Decision-based Adversarial Attacks—0
Guiding LLM Temporal Logic Generation with Explicit Separation of Data and Control—0
Compositional Generalization and Decomposition in Neural Program Synthesis—0
Amortizing Pragmatic Program Synthesis with Rankings—0
Guiding Enumerative Program Synthesis with Large Language Models—0
GRCNN: Graph Recognition Convolutional Neural Network for Synthesizing Programs from Flow Charts—0
HOTGP -- Higher-Order Typed Genetic Programming—0
Constraint-based Learning of Phonological Processes—0
Complex QA and language models hybrid architectures, Survey—0
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams—0
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis—0
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis—0
Imitation-Projected Programmatic Reinforcement Learning—0
Comparing and Combining Lexicase Selection and Novelty Search—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