Cover Image

Co-PatcheR: Collaborative Software Patching with Component(s)-specific Small Reasoning Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Yuheng, Li, Hongwei, Zhu, Kaijie, Yang, Michael, Ding, Yangruibo, Guo, Wenbo
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Cryptography and Security Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle
by: Tang, Yuheng, et al.
Published: (2026)

Vulnerability Patching Across Software Products and Software Components: A Case Study of Red Hat's Product Portfolio
by: Ruohonen, Jukka, et al.
Published: (2025)

PatchFuzz: Patch Fuzzing for JavaScript Engines
by: Wang, Junjie, et al.
Published: (2025)

APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
by: Nong, Yu, et al.
Published: (2024)

OpenSage: Self-programming Agent Generation Engine
by: Li, Hongwei, et al.
Published: (2026)

BandFuzz: An ML-powered Collaborative Fuzzing Framework
by: Shi, Wenxuan, et al.
Published: (2025)

PATCHEVAL: A New Benchmark for Evaluating LLMs on Patching Real-World Vulnerabilities
by: Wei, Zichao, et al.
Published: (2025)

Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them
by: Tan, Zixuan, et al.
Published: (2024)

PPT4J: Patch Presence Test for Java Binaries
by: Pan, Zhiyuan, et al.
Published: (2023)

Revisiting Vulnerability Patch Identification on Data in the Wild
by: Irsan, Ivana Clairine, et al.
Published: (2026)

An Investigation of Patch Porting Practices of the Linux Kernel Ecosystem
by: Li, Xingyu, et al.
Published: (2024)

Patch2QL: Discover Cognate Defects in Open Source Software Supply Chain With Auto-generated Static Analysis Rules
by: Wang, Fuwei, et al.
Published: (2024)

Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System
by: Chen, Cheng, et al.
Published: (2025)

A Systematic Study of LLM-Based Architectures for Automated Patching
by: Xu, Qingxiao, et al.
Published: (2026)

A Slicing-Based Approach for Detecting and Patching Vulnerable Code Clones
by: Alomari, Hakam, et al.
Published: (2025)

When "Correct" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?
by: Peng, Yibo, et al.
Published: (2025)

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models
by: Guo, Hanyang, et al.
Published: (2025)

SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code
by: Dai, Han, et al.
Published: (2026)

Automated Repair of TEE Partitioning Issues via DSL-Guided and LLM-Assisted Patching
by: Ma, Chengyan, et al.
Published: (2026)

StriderSPD: Structure-Guided Joint Representation Learning for Binary Security Patch Detection
by: Li, Qingyuan, et al.
Published: (2026)

Evaluating LLMs for One-Shot Patching of Real and Artificial Vulnerabilities
by: Garg, Aayush, et al.
Published: (2025)

Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond
by: Gao, Zeyu, et al.
Published: (2025)

PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings
by: Nguyen, Huu Hung, et al.
Published: (2025)

Match & Mend: Minimally Invasive Local Reassembly for Patching N-day Vulnerabilities in ARM Binaries
by: Jänich, Sebastian, et al.
Published: (2025)

From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection
by: Han, Junxiao, et al.
Published: (2025)

Patch-to-PoC: A Systematic Study of Agentic LLM Systems for Linux Kernel N-Day Reproduction
by: Pu, Juefei, et al.
Published: (2026)

Bridging Expert Reasoning and LLM Detection: A Knowledge-Driven Framework for Malicious Packages
by: Guo, Wenbo, et al.
Published: (2026)

HYDRA: A Hybrid Heuristic-Guided Deep Representation Architecture for Predicting Latent Zero-Day Vulnerabilities in Patched Functions
by: Farhad, Mohammad, et al.
Published: (2025)

BackportBench: A Multilingual Benchmark for Automated Backporting of Patches
by: Zhong, Zhiqing, et al.
Published: (2025)

PatUntrack: Automated Generating Patch Examples for Issue Reports without Tracked Insecure Code
by: Jiang, Ziyou, et al.
Published: (2024)

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection
by: Wen, Xin-Cheng, et al.
Published: (2024)

Empirical Study of Code Large Language Models for Binary Security Patch Detection
by: Li, Qingyuan, et al.
Published: (2025)

PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification
by: Li, Hongwei, et al.
Published: (2025)

Toward Patch Robustness Certification and Detection for Deep Learning Systems Beyond Consistent Samples
by: Zhou, Qilin, et al.
Published: (2025)

Guiding Symbolic Execution with Static Analysis and LLMs for Vulnerability Discovery
by: Shafiuzzaman, Md, et al.
Published: (2026)

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection
by: Wen, Xin-Cheng, et al.
Published: (2024)

CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models
by: Zhou, Qilin, et al.
Published: (2024)

DecipherGuard: Understanding and Deciphering Jailbreak Prompts for a Safer Deployment of Intelligent Software Systems
by: Yang, Rui, et al.
Published: (2025)

Evaluating Software Supply Chain Security in Research Software
by: Hegewald, Richard, et al.
Published: (2025)

Tracking Down Software Cluster Bombs: A Current State Analysis of the Free/Libre and Open Source Software (FLOSS) Ecosystem
by: Tatschner, Stefan, et al.
Published: (2025)