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 351–375 of 423 papers

TitleStatusHype
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement LearningCode0
Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning TestCode0
Constraint-based Learning of Phonological Processes—0
Bayesian causal inference via probabilistic program synthesis—0
Probabilistic Surrogate Networks for Simulators with Unbounded Randomness—0
Neural Program Synthesis By Self-Learning—0
Making sense of sensory inputCode0
Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural RepresentationsCode0
Synthesizing Action Sequences for Modifying Model DecisionsCode0
Optimal Sizing of Stand-alone Solar PV Systems via Automated Formal Synthesis—0
ADAPTIVE GENERATION OF PROGRAMMING PUZZLES—0
Natural- to formal-language generation using Tensor Product Representations—0
Iterative Target Augmentation for Effective Conditional Generation—0
Learning Fitness Functions for Machine Programming—0
Imitation-Projected Programmatic Reinforcement Learning—0
Program Synthesis and Semantic Parsing with Learned Code IdiomsCode0
SPoC: Search-based Pseudocode to CodeCode0
Write, Execute, Assess: Program Synthesis with a REPL—0
One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis—0
Synthesizing Datalog Programs Using Numerical Relaxation—0
Comparing and Combining Lexicase Selection and Novelty Search—0
Learning a Meta-Solver for Syntax-Guided Program Synthesis—0
Execution-Guided Neural Program Synthesis—0
"Why did you do that?": Explaining black box models with Inductive SynthesisCode0
Neural Program Planner for Structured Predictions—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