Skip to content
conftrace_

program repair

27 papers

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