Repair Before Veto: Repair-Augmented Constraint Learning for Contextual Decisions
Fuente:
arXiv
Saved in:
| Main Author: | Wang, Yifan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Repair-R1: Better Test Before Repair
by: Hu, Haichuan, et al.
Published: (2025)
by: Hu, Haichuan, et al.
Published: (2025)
Evolutionary Level Repair
by: Bhaumik, Debosmita, et al.
Published: (2025)
by: Bhaumik, Debosmita, et al.
Published: (2025)
SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints
by: Chu, Ya-Chi, et al.
Published: (2026)
by: Chu, Ya-Chi, et al.
Published: (2026)
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
by: Bouzenia, Islem, et al.
Published: (2024)
by: Bouzenia, Islem, et al.
Published: (2024)
Physics-Informed Causal MDPs for Sequential Constraint Repair in Engineering Simulation Pipelines
by: Qiao, Chuhan
Published: (2026)
by: Qiao, Chuhan
Published: (2026)
Learning From Scenarios for Stochastic Repairable Scheduling
by: Houten, Kim van den, et al.
Published: (2023)
by: Houten, Kim van den, et al.
Published: (2023)
Learning Over Dirty Data with Minimal Repairs
by: Zhen, Cheng, et al.
Published: (2025)
by: Zhen, Cheng, et al.
Published: (2025)
RepoRepair: Leveraging Code Documentation for Repository-Level Automated Program Repair
by: Pan, Zhongqiang, et al.
Published: (2026)
by: Pan, Zhongqiang, et al.
Published: (2026)
Graph-based Event Log Repair
by: Dissegna, Sebastiano, et al.
Published: (2025)
by: Dissegna, Sebastiano, et al.
Published: (2025)
Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments
by: Zhao, Qianhui, et al.
Published: (2024)
by: Zhao, Qianhui, et al.
Published: (2024)
Repairing Language Model Pipelines by Meta Self-Refining Competing Constraints at Runtime
by: Eshghie, Mojtaba
Published: (2025)
by: Eshghie, Mojtaba
Published: (2025)
OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents
by: Ao, Ruicheng, et al.
Published: (2026)
by: Ao, Ruicheng, et al.
Published: (2026)
MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair
by: Liu, Simiao, et al.
Published: (2026)
by: Liu, Simiao, et al.
Published: (2026)
ADReFT: Adaptive Decision Repair for Safe Autonomous Driving via Reinforcement Fine-Tuning
by: Cheng, Mingfei, et al.
Published: (2025)
by: Cheng, Mingfei, et al.
Published: (2025)
Towards Automated Smart Contract Generation: Evaluation, Benchmarking, and Retrieval-Augmented Repair
by: Chen, Zaoyu, et al.
Published: (2025)
by: Chen, Zaoyu, et al.
Published: (2025)
Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees
by: Liu, Xiaoyang, et al.
Published: (2026)
by: Liu, Xiaoyang, et al.
Published: (2026)
To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAX
by: Heins, Jonathan, et al.
Published: (2025)
by: Heins, Jonathan, et al.
Published: (2025)
ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
by: Zhao, Yicong, et al.
Published: (2025)
by: Zhao, Yicong, et al.
Published: (2025)
Adaptive GR(1) Specification Repair for Liveness-Preserving Shielding in Reinforcement Learning
by: Georgescu, Tiberiu-Andrei, et al.
Published: (2025)
by: Georgescu, Tiberiu-Andrei, et al.
Published: (2025)
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
by: Dehghan, Meghdad, et al.
Published: (2024)
by: Dehghan, Meghdad, et al.
Published: (2024)
Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preference Learning
by: Li, Sijia, et al.
Published: (2026)
by: Li, Sijia, et al.
Published: (2026)
Self-Bootstrapping Automated Program Repair: Using LLMs to Generate and Evaluate Synthetic Training Data for Bug Repair
by: de-Fitero-Dominguez, David, et al.
Published: (2025)
by: de-Fitero-Dominguez, David, et al.
Published: (2025)
Agentic Reinforcement Learning for Real-World Code Repair
by: Zhu, Siyu, et al.
Published: (2025)
by: Zhu, Siyu, et al.
Published: (2025)
STAR: A Stage-attributed Triage and Repair framework for RCA Agents in Microservices
by: Wang, Junle, et al.
Published: (2026)
by: Wang, Junle, et al.
Published: (2026)
CRepair: CVAE-based Automatic Vulnerability Repair Technology
by: Liu, Penghui, et al.
Published: (2024)
by: Liu, Penghui, et al.
Published: (2024)
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models
by: Ruiz, Fernando Vallecillos, et al.
Published: (2025)
by: Ruiz, Fernando Vallecillos, et al.
Published: (2025)
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
VISTA: Knowledge-Driven Vessel Trajectory Imputation with Repair Provenance
by: Liu, Hengyu, et al.
Published: (2026)
by: Liu, Hengyu, et al.
Published: (2026)
Signal Reshaping for GRPO in Weak-Feedback Agentic Code Repair
by: Li, Jia, et al.
Published: (2026)
by: Li, Jia, et al.
Published: (2026)
Proof2Silicon: Prompt Repair for Verified Code and Hardware Generation via Reinforcement Learning
by: Jha, Manvi, et al.
Published: (2025)
by: Jha, Manvi, et al.
Published: (2025)
CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C++ Compilation Repair
by: Sun, Weixuan, et al.
Published: (2025)
by: Sun, Weixuan, et al.
Published: (2025)
Creating and Repairing Robot Programs in Open-World Domains
by: Schlesinger, Claire, et al.
Published: (2024)
by: Schlesinger, Claire, et al.
Published: (2024)
Faithful Autoformalization via Roundtrip Verification and Repair
by: Amrollahi, Daneshvar, et al.
Published: (2026)
by: Amrollahi, Daneshvar, et al.
Published: (2026)
Enhancing Automated Program Repair with Solution Design
by: Zhao, Jiuang, et al.
Published: (2024)
by: Zhao, Jiuang, et al.
Published: (2024)
Collaborative Agents for Automated Program Repair in Ruby
by: Akbarpour, Nikta, et al.
Published: (2025)
by: Akbarpour, Nikta, et al.
Published: (2025)
Evaluating Agent-based Program Repair at Google
by: Rondon, Pat, et al.
Published: (2025)
by: Rondon, Pat, et al.
Published: (2025)
Evaluating the Generalizability of LLMs in Automated Program Repair
by: Li, Fengjie, et al.
Published: (2025)
by: Li, Fengjie, et al.
Published: (2025)
DREAM: Debugging and Repairing AutoML Pipelines
by: Zhang, Xiaoyu, et al.
Published: (2023)
by: Zhang, Xiaoyu, et al.
Published: (2023)
Destroy and Repair Using Hyper Graphs for Routing
by: Li, Ke, et al.
Published: (2025)
by: Li, Ke, et al.
Published: (2025)
Explorations of Self-Repair in Language Models
by: Rushing, Cody, et al.
Published: (2024)
by: Rushing, Cody, et al.
Published: (2024)
Similar Items
-
Repair-R1: Better Test Before Repair
by: Hu, Haichuan, et al.
Published: (2025) -
Evolutionary Level Repair
by: Bhaumik, Debosmita, et al.
Published: (2025) -
SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints
by: Chu, Ya-Chi, et al.
Published: (2026) -
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
by: Bouzenia, Islem, et al.
Published: (2024) -
Physics-Informed Causal MDPs for Sequential Constraint Repair in Engineering Simulation Pipelines
by: Qiao, Chuhan
Published: (2026)