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 301–350 of 423 papers

TitleStatusHype
Visible and Invisible: Causal Variable Learning and its Application in a Cancer Study—0
Visual Agentic AI for Spatial Reasoning with a Dynamic API—0
VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction—0
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment—0
Write, Execute, Assess: Program Synthesis with a REPL—0
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis—0
Learning to select examples for program synthesis—0
Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation—0
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context—0
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis—0
Leveraging Language to Learn Program Abstractions and Search Heuristics—0
Limits of an AI program for solving college math problems—0
LLM4TDD: Best Practices for Test Driven Development Using Large Language Models—0
LLM for SoC Security: A Paradigm Shift—0
LLMPhy: Complex Physical Reasoning Using Large Language Models and World Models—0
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning—0
LoopInvGen: A Loop Invariant Generator based on Precondition Inference—0
Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics—0
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences—0
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis—0
Mechanic Maker: Accessible Game Development Via Symbolic Learning Program Synthesis—0
Mitigating Gender Bias in Code Large Language Models via Model Editing—0
mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR using Program Synthesis—0
MMFactory: A Universal Solution Search Engine for Vision-Language Tasks—0
MTGP: Combining Metamorphic Testing and Genetic Programming—0
Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems—0
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
Learning logic programs by combining programsCode0
Learning to Execute Programs with Instruction Pointer Attention Graph Neural NetworksCode0
Amortizing Pragmatic Program Synthesis with RankingsCode0
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
Analysis of Evolutionary Program Synthesis for Card GamesCode0
SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life ApplicationsCode0
Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning EnvironmentsCode0
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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