SOTAVerified

Program Repair

Task of teaching ML models to modify an existing program to fix a bug in a given code.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 132 papers

TitleStatusHype
RunBugRun -- An Executable Dataset for Automated Program Repair—0
SampleFix: Learning to Generate Functionally Diverse Fixes—0
SCELMo: Source Code Embeddings from Language Models—0
SemAgent: A Semantics Aware Program Repair Agent—0
Semantic-guided Search for Efficient Program Repair with Large Language Models—0
SmartPaste: Learning to Adapt Source Code—0
SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugs—0
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data—0
T^3: Multi-level Tree-based Automatic Program Repair with Large Language Models—0
Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix—0
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models—0
The Impact of Input Order Bias on Large Language Models for Software Fault Localization—0
Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs—0
Towards Mixed Optimization for Reinforcement Learning with Program Synthesis—0
Understanding Software Engineering Agents: A Study of Thought-Action-Result Trajectories—0
Using ML filters to help automated vulnerability repairs: when it helps and when it doesn't—0
Where's the Bug? Attention Probing for Scalable Fault Localization—0
Improving Automated Program Repair with Domain Adaptation—0
In-Context Code-Text Learning for Bimodal Software Engineering—0
Is ChatGPT the Ultimate Programming Assistant -- How far is it?—0
Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT—0
Learning to Fix Build Errors with Graph2Diff Neural Networks—0
LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks—0
Leveraging Causal Inference for Explainable Automatic Program Repair—0
Better patching using LLM prompting, via Self-Consistency—0
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All datasetsDeepFixGitHub-PythonHumanEvalPackTFix's Code Patches Data

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DrRepair + BIFIAverage Success Rate71.7—Unverified
2DrRepairAverage Success Rate68.2—Unverified
3SampleFixAverage Success Rate45.3—Unverified
4RLAssistAverage Success Rate26.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer + BIFIAccuracy (%)90.5—Unverified
2TransformerAccuracy (%)62—Unverified
#ModelMetricClaimedVerifiedStatus
1MGDebugger (DeepSeek-Coder-V2-Lite)Pass@197.6—Unverified
#ModelMetricClaimedVerifiedStatus
1TFixError Removal678—Unverified