Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Fixing
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Kai, Zhang, Jian, Xie, Xiaofei, Chen, Chunyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fix the Tests: Augmenting LLMs to Repair Test Cases with Static Collector and Neural Reranker
by: Liu, Jun, et al.
Published: (2024)
by: Liu, Jun, et al.
Published: (2024)
AtPatch: Debugging Transformers via Hot-Fixing Over-Attention
by: Weng, Shihao, et al.
Published: (2026)
by: Weng, Shihao, et al.
Published: (2026)
VeriFix: Verifying Your Fix Towards An Atomicity Violation
by: Li, Zhuang, et al.
Published: (2025)
by: Li, Zhuang, et al.
Published: (2025)
A Sentence-Level Approach to Understanding Software Vulnerability Fixes
by: Gao, Amiao, et al.
Published: (2025)
by: Gao, Amiao, et al.
Published: (2025)
Model See, Model Do? Exposure-Aware Evaluation of Bug-vs-Fix Preference in Code LLMs
by: Al-Kaswan, Ali, et al.
Published: (2026)
by: Al-Kaswan, Ali, et al.
Published: (2026)
Can Agents Fix Agent Issues?
by: Rahardja, Alfin Wijaya, et al.
Published: (2025)
by: Rahardja, Alfin Wijaya, et al.
Published: (2025)
JavaVFC: Java Vulnerability Fixing Commits from Open-source Software
by: Bui, Tan, et al.
Published: (2024)
by: Bui, Tan, et al.
Published: (2024)
Hot Fixing Software: A Comprehensive Review of Terminology, Techniques, and Applications
by: Hanna, Carol, et al.
Published: (2024)
by: Hanna, Carol, et al.
Published: (2024)
Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search
by: Zhang, Jiayi, et al.
Published: (2025)
by: Zhang, Jiayi, et al.
Published: (2025)
Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects
by: Nunes, Henrique, et al.
Published: (2025)
by: Nunes, Henrique, et al.
Published: (2025)
Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
by: Moon, Seungjun, et al.
Published: (2023)
by: Moon, Seungjun, et al.
Published: (2023)
Hot Fixing in the Wild
by: Hanna, Carol, et al.
Published: (2026)
by: Hanna, Carol, et al.
Published: (2026)
DeepFix: Debugging and Fixing Machine Learning Workflow using Agentic AI
by: Seydou, Fadel Mamar, et al.
Published: (2026)
by: Seydou, Fadel Mamar, et al.
Published: (2026)
Don't Confuse! Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired Users
by: Zhang, Mengxi, et al.
Published: (2025)
by: Zhang, Mengxi, et al.
Published: (2025)
Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software
by: Cheng, Yiran, et al.
Published: (2025)
by: Cheng, Yiran, et al.
Published: (2025)
The Dangers of Non-Self-Fixed Architecture Technical Debt and Its Impact on Time-to-Fix
by: Sutoyo, Edi, et al.
Published: (2026)
by: Sutoyo, Edi, et al.
Published: (2026)
Fixing Outside the Box: Uncovering Tactics for Open-Source Security Issue Management
by: Zhang, Lyuye, et al.
Published: (2025)
by: Zhang, Lyuye, et al.
Published: (2025)
Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?
by: Garg, Spandan, et al.
Published: (2026)
by: Garg, Spandan, et al.
Published: (2026)
Fast Fixes and Faulty Drivers: An Empirical Analysis of Regression Bug Fixing Times in the Linux Kernel
by: Ruohonen, Jukka, et al.
Published: (2024)
by: Ruohonen, Jukka, et al.
Published: (2024)
Fixing Large Language Models' Specification Misunderstanding for Better Code Generation
by: Tian, Zhao, et al.
Published: (2023)
by: Tian, Zhao, et al.
Published: (2023)
The Limits of Long-Context Reasoning in Automated Bug Fixing
by: Raju, Ravi, et al.
Published: (2026)
by: Raju, Ravi, et al.
Published: (2026)
Understanding Bugs in Template Engine-Based Applications: Symptoms, Root Causes, and Fix Patterns
by: Gao, Kai, et al.
Published: (2026)
by: Gao, Kai, et al.
Published: (2026)
Software Testing with Large Language Models: Survey, Landscape, and Vision
by: Wang, Junjie, et al.
Published: (2023)
by: Wang, Junjie, et al.
Published: (2023)
Beyond Fixed Tests: Repository-Level Issue Resolution as Coevolution of Code and Behavioral Constraints
by: Li, Kefan, et al.
Published: (2026)
by: Li, Kefan, et al.
Published: (2026)
A Generic Approach to Fix Test Flakiness in Real-World Projects
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Extracting Fix Ingredients using Language Models
by: Prenner, Julian Aron, et al.
Published: (2025)
by: Prenner, Julian Aron, et al.
Published: (2025)
Diverse LLMs vs. Vulnerabilities: Who Detects and Fixes Them Better?
by: Zibaeirad, Arastoo, et al.
Published: (2025)
by: Zibaeirad, Arastoo, et al.
Published: (2025)
CommitShield: Tracking Vulnerability Introduction and Fix in Version Control Systems
by: Wu, Zhaonan, et al.
Published: (2025)
by: Wu, Zhaonan, et al.
Published: (2025)
PathFix: Automated Program Repair with Expected Path
by: He, Xu, et al.
Published: (2025)
by: He, Xu, et al.
Published: (2025)
InfraFix: Technology-Agnostic Repair of Infrastructure as Code
by: Saavedra, Nuno, et al.
Published: (2025)
by: Saavedra, Nuno, et al.
Published: (2025)
What the Fix? A Study of ASATs Rule Documentation
by: Latappy, Corentin, et al.
Published: (2024)
by: Latappy, Corentin, et al.
Published: (2024)
A Preliminary Study of Fixed Flaky Tests in Rust Projects on GitHub
by: Schroeder, Tom, et al.
Published: (2025)
by: Schroeder, Tom, et al.
Published: (2025)
SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair
by: Zhang, Yifan, et al.
Published: (2026)
by: Zhang, Yifan, et al.
Published: (2026)
Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models
by: Chang, Jianming, et al.
Published: (2025)
by: Chang, Jianming, et al.
Published: (2025)
PanicFI: An Infrastructure for Fixing Panic Bugs in Real-World Rust Programs
by: Ni, Yunbo, et al.
Published: (2024)
by: Ni, Yunbo, et al.
Published: (2024)
STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing
by: Zhang, Yuwei, et al.
Published: (2023)
by: Zhang, Yuwei, et al.
Published: (2023)
Learning Graph-based Patch Representations for Identifying and Assessing Silent Vulnerability Fixes
by: Han, Mei, et al.
Published: (2024)
by: Han, Mei, et al.
Published: (2024)
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software
by: Ponta, Serena E., et al.
Published: (2019)
by: Ponta, Serena E., et al.
Published: (2019)
Byam: Fixing Breaking Dependency Updates with Large Language Models
by: Reyes, Frank, et al.
Published: (2025)
by: Reyes, Frank, et al.
Published: (2025)
Do Automated Fixes Truly Mitigate Smart Contract Exploits?
by: Bobadilla, Sofia, et al.
Published: (2025)
by: Bobadilla, Sofia, et al.
Published: (2025)
Similar Items
-
Fix the Tests: Augmenting LLMs to Repair Test Cases with Static Collector and Neural Reranker
by: Liu, Jun, et al.
Published: (2024) -
AtPatch: Debugging Transformers via Hot-Fixing Over-Attention
by: Weng, Shihao, et al.
Published: (2026) -
VeriFix: Verifying Your Fix Towards An Atomicity Violation
by: Li, Zhuang, et al.
Published: (2025) -
A Sentence-Level Approach to Understanding Software Vulnerability Fixes
by: Gao, Amiao, et al.
Published: (2025) -
Model See, Model Do? Exposure-Aware Evaluation of Bug-vs-Fix Preference in Code LLMs
by: Al-Kaswan, Ali, et al.
Published: (2026)