Saved in:
| Main Authors: | Zhao, Zixiao, Das, Millon Madhur, Fard, Fatemeh H. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.04421 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering
by: Zhao, Zixiao, et al.
Published: (2026)
by: Zhao, Zixiao, et al.
Published: (2026)
MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training
by: Zhao, Zixiao, et al.
Published: (2025)
by: Zhao, Zixiao, et al.
Published: (2025)
Do Current Language Models Support Code Intelligence for R Programming Language?
by: Zhao, ZiXiao, et al.
Published: (2024)
by: Zhao, ZiXiao, et al.
Published: (2024)
Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to R
by: Esmaeili, Amirreza, et al.
Published: (2024)
by: Esmaeili, Amirreza, et al.
Published: (2024)
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)
Context-Augmented Code Generation Using Programming Knowledge Graphs
by: Saberi, Iman, et al.
Published: (2024)
by: Saberi, Iman, et al.
Published: (2024)
ARISE: A Repository-level Graph Representation and Toolset for Agentic Fault Localization and Program Repair
by: Seddik, Shahd, et al.
Published: (2026)
by: Seddik, Shahd, et al.
Published: (2026)
Standing on the Shoulders of Giants: Stabilized Knowledge Distillation for Cross--Language Code Clone Detection
by: Khajezade, Mohamad, et al.
Published: (2026)
by: Khajezade, Mohamad, et al.
Published: (2026)
Analysis of AdvFusion: Adapter-based Multilingual Learning for Code Large Language Models
by: Esmaeili, Amirreza, et al.
Published: (2025)
by: Esmaeili, Amirreza, et al.
Published: (2025)
Correct Code, Vulnerable Dependencies: A Large Scale Measurement Study of LLM-Specified Library Versions
by: Wang, Chengjie, et al.
Published: (2026)
by: Wang, Chengjie, et al.
Published: (2026)
Collaborative Agents for Automated Program Repair in Ruby
by: Akbarpour, Nikta, et al.
Published: (2025)
by: Akbarpour, Nikta, et al.
Published: (2025)
Investigating the Efficacy of Large Language Models for Code Clone Detection
by: Khajezade, Mohamad, et al.
Published: (2024)
by: Khajezade, Mohamad, et al.
Published: (2024)
Machine Learning Techniques for Python Source Code Vulnerability Detection
by: Farasat, Talaya, et al.
Published: (2024)
by: Farasat, Talaya, et al.
Published: (2024)
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)
The Code Whisperer: LLM and Graph-Based AI for Smell and Vulnerability Resolution
by: Baqar, Mohammad, et al.
Published: (2026)
by: Baqar, Mohammad, et al.
Published: (2026)
CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection
by: Feng, Ruijun, et al.
Published: (2025)
by: Feng, Ruijun, et al.
Published: (2025)
Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
by: Wen, Xin-Cheng, et al.
Published: (2025)
by: Wen, Xin-Cheng, et al.
Published: (2025)
LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and Limitations
by: Tóth, Rebeka, et al.
Published: (2024)
by: Tóth, Rebeka, et al.
Published: (2024)
An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
by: Guo, Yuejun, et al.
Published: (2026)
by: Guo, Yuejun, et al.
Published: (2026)
ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries
by: Maharaj, Kishan, et al.
Published: (2024)
by: Maharaj, Kishan, et al.
Published: (2024)
Broken by Default: A Formal Verification Study of Security Vulnerabilities in AI-Generated Code
by: Blain, Dominik, et al.
Published: (2026)
by: Blain, Dominik, et al.
Published: (2026)
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent
by: Wu, Jie JW, et al.
Published: (2024)
by: Wu, Jie JW, et al.
Published: (2024)
An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent Systems
by: Saju, Md Hasan, et al.
Published: (2026)
by: Saju, Md Hasan, et al.
Published: (2026)
CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
by: Shi, Jingwei, et al.
Published: (2026)
by: Shi, Jingwei, et al.
Published: (2026)
Harnessing the Power of LLMs in Source Code Vulnerability Detection
by: Mahyari, Andrew A
Published: (2024)
by: Mahyari, Andrew A
Published: (2024)
MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution
by: Wu, Zihan, et al.
Published: (2026)
by: Wu, Zihan, et al.
Published: (2026)
QLPro: Automated Code Vulnerability Discovery via LLM and Static Code Analysis Integration
by: Hu, Junze, et al.
Published: (2025)
by: Hu, Junze, et al.
Published: (2025)
Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study
by: Antal, Gábor, et al.
Published: (2025)
by: Antal, Gábor, et al.
Published: (2025)
MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents
by: Steinberg, Jonathan, et al.
Published: (2026)
by: Steinberg, Jonathan, et al.
Published: (2026)
MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning
by: Gajjar, Jugal, et al.
Published: (2025)
by: Gajjar, Jugal, et al.
Published: (2025)
Cost-Efficient Prompt Engineering for Unsupervised Entity Resolution
by: Nananukul, Navapat, et al.
Published: (2023)
by: Nananukul, Navapat, et al.
Published: (2023)
From Detection to Prevention: Explaining Security-Critical Code to Avoid Vulnerabilities
by: Krishnamurthy, Ranjith, et al.
Published: (2026)
by: Krishnamurthy, Ranjith, et al.
Published: (2026)
Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study
by: Dong, Zeming, et al.
Published: (2023)
by: Dong, Zeming, et al.
Published: (2023)
Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
by: Vartziotis, Tina, et al.
Published: (2024)
by: Vartziotis, Tina, et al.
Published: (2024)
Does Code Cleanliness Affect Coding Agents? A Controlled Minimal-Pair Study
by: Trivedi, Priyansh, et al.
Published: (2026)
by: Trivedi, Priyansh, et al.
Published: (2026)
EvoCodeBench: A Human-Performance Benchmark for Self-Evolving LLM-Driven Coding Systems
by: Zhang, Wentao, et al.
Published: (2026)
by: Zhang, Wentao, et al.
Published: (2026)
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
Goedel-Code-Prover: Hierarchical Proof Search for Open State-of-the-Art Code Verification
by: Li, Zenan, et al.
Published: (2026)
by: Li, Zenan, et al.
Published: (2026)
Vibe-Coding: Feedback-Based Automated Verification with no Human Code Inspection, a Feasibility Study
by: Töpfer, Michal, et al.
Published: (2026)
by: Töpfer, Michal, et al.
Published: (2026)
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)
Similar Items
-
Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering
by: Zhao, Zixiao, et al.
Published: (2026) -
MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training
by: Zhao, Zixiao, et al.
Published: (2025) -
Do Current Language Models Support Code Intelligence for R Programming Language?
by: Zhao, ZiXiao, et al.
Published: (2024) -
Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to R
by: Esmaeili, Amirreza, et al.
Published: (2024) -
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
by: Dehghan, Meghdad, et al.
Published: (2024)