Co-occurring keywords · papers mentioning both
Papers
Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
AAAI 2026
QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization
ACL 2026
CADReview: Automatically Reviewing CAD Programs with Error Detection and Correction
ACL 2025
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
AAAI 2025
Direct Repair Optimization: Training Small Language Models For Educational Program Repair Improves Feedback
ACL 2025
Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning
AAAI 2025
Rust-doctor: Enhanced Feature for Rust Ownership and Lifetime Repair with Balanced Training Data Generation
EMNLP 2025
SynFix: Dependency-Aware Program Repair via RelationGraph Analysis
ACL 2025
NExT: Teaching Large Language Models to Reason about Code Execution
ICML 2024
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
NeurIPS 2024
Teaching Large Language Models to Self-Debug
ICLR 2024
Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education
NAACL 2024
Improving Transformer-based Program Repair Model through False Behavior Diagnosis
EMNLP 2023
Logic Error Localization and Correction with Machine Learning (Student Abstract)
AAAI 2023
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
AAAI 2023
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5
EMNLP 2022
Break-It-Fix-It: Unsupervised Learning for Program Repair
ICML 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
EMNLP 2021
MultiFix: Learning to Repair Multiple Errors by Optimal Alignment Learning
EMNLP 2021
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
NeurIPS 2021
TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer
ICML 2021
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
ICML 2020
HOPPITY: LEARNING GRAPH TRANSFORMATIONS TO DETECT AND FIX BUGS IN PROGRAMS
ICLR 2020
Iterative Repair of Social Robot Programs from Implicit User Feedback via Bayesian Inference
RSS 2020
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
NeurIPS 2020