Saved in:
| Main Author: | Liu, Rui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.26458 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Investigating Training Data Detection in AI Coders
by: Li, Tianlin, et al.
Published: (2025)
by: Li, Tianlin, et al.
Published: (2025)
A Framework for the Adoption and Integration of Generative AI in Midsize Organizations and Enterprises (FAIGMOE)
by: Weinberg, Abraham Itzhak
Published: (2025)
by: Weinberg, Abraham Itzhak
Published: (2025)
Let the Barbarians In: How AI Can Accelerate Systems Performance Research
by: Cheng, Audrey, et al.
Published: (2025)
by: Cheng, Audrey, et al.
Published: (2025)
ProgramBench: Can Language Models Rebuild Programs From Scratch?
by: Yang, John, et al.
Published: (2026)
by: Yang, John, et al.
Published: (2026)
Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion
by: Liu, Dengfeng, et al.
Published: (2025)
by: Liu, Dengfeng, et al.
Published: (2025)
Verification Limits Code LLM Training
by: Gureja, Srishti, et al.
Published: (2025)
by: Gureja, Srishti, et al.
Published: (2025)
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
by: Ma, Wei, et al.
Published: (2022)
by: Ma, Wei, et al.
Published: (2022)
PostTrainBench: Can LLM Agents Automate LLM Post-Training?
by: Rank, Ben, et al.
Published: (2026)
by: Rank, Ben, 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)
Can Github issues be solved with Tree Of Thoughts?
by: La Rosa, Ricardo, et al.
Published: (2024)
by: La Rosa, Ricardo, et al.
Published: (2024)
Repository Structure-Aware Training Makes SLMs Better Issue Resolver
by: Ma, Zexiong, et al.
Published: (2024)
by: Ma, Zexiong, et al.
Published: (2024)
GitHub's Copilot Code Review: Can AI Spot Security Flaws Before You Commit?
by: Amro, Amena, et al.
Published: (2025)
by: Amro, Amena, et al.
Published: (2025)
CodeFort: Robust Training for Code Generation Models
by: Zhang, Yuhao, et al.
Published: (2024)
by: Zhang, Yuhao, et al.
Published: (2024)
Attention Distance: A Novel Metric for Directed Fuzzing with Large Language Models
by: Bin, Wang, et al.
Published: (2025)
by: Bin, Wang, et al.
Published: (2025)
AI-Driven Tools in Modern Software Quality Assurance: An Assessment of Benefits, Challenges, and Future Directions
by: Pysmennyi, Ihor, et al.
Published: (2025)
by: Pysmennyi, Ihor, et al.
Published: (2025)
Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning
by: Chen, Pengzhou, et al.
Published: (2025)
by: Chen, Pengzhou, et al.
Published: (2025)
Breaking the Myth: Can Small Models Infer Postconditions Too?
by: Zhang, Gehao, et al.
Published: (2025)
by: Zhang, Gehao, et al.
Published: (2025)
Can LLM Generate Regression Tests for Software Commits?
by: Liu, Jing, et al.
Published: (2025)
by: Liu, Jing, et al.
Published: (2025)
Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End"
by: Sovrano, Francesco, et al.
Published: (2025)
by: Sovrano, Francesco, et al.
Published: (2025)
Your Code Agent Can Grow Alongside You with Structured Memory
by: Deng, Yi-Xuan, et al.
Published: (2026)
by: Deng, Yi-Xuan, et al.
Published: (2026)
LLM Company Policies and Policy Implications in Software Organizations
by: Khojah, Ranim, et al.
Published: (2025)
by: Khojah, Ranim, et al.
Published: (2025)
Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks?
by: Garg, Spandan, et al.
Published: (2026)
by: Garg, Spandan, et al.
Published: (2026)
The A-R Behavioral Space: Execution-Level Profiling of Tool-Using Language Model Agents in Organizational Deployment
by: Yu, Shasha, et al.
Published: (2026)
by: Yu, Shasha, et al.
Published: (2026)
Structural Enforcement of Statistical Rigor in AI-Driven Discovery: A Functional Architecture
by: Sargsyan, Karen
Published: (2025)
by: Sargsyan, Karen
Published: (2025)
VeriStruct: AI-assisted Automated Verification of Data-Structure Modules in Verus
by: Sun, Chuyue, et al.
Published: (2025)
by: Sun, Chuyue, et al.
Published: (2025)
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations
by: Saleem, Summra, et al.
Published: (2024)
by: Saleem, Summra, et al.
Published: (2024)
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs
by: Liu, Zhihan, et al.
Published: (2024)
by: Liu, Zhihan, et al.
Published: (2024)
How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions
by: Habiba, Umm-e-, et al.
Published: (2024)
by: Habiba, Umm-e-, et al.
Published: (2024)
Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches
by: Mazur, Lukasz, et al.
Published: (2025)
by: Mazur, Lukasz, et al.
Published: (2025)
Digital Twins & ZeroConf AI: Structuring Automated Intelligent Pipelines for Industrial Applications
by: Picone, Marco, et al.
Published: (2026)
by: Picone, Marco, et al.
Published: (2026)
I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution
by: Choi, Soohyeon, et al.
Published: (2025)
by: Choi, Soohyeon, et al.
Published: (2025)
Learning to Debug: LLM-Organized Knowledge Trees for Solving RTL Assertion Failures
by: Bai, Yunsheng, et al.
Published: (2025)
by: Bai, Yunsheng, et al.
Published: (2025)
GenAI for Simulation Model in Model-Based Systems Engineering
by: Zhang, Lin, et al.
Published: (2025)
by: Zhang, Lin, et al.
Published: (2025)
Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models
by: Geng, Ziheng, et al.
Published: (2026)
by: Geng, Ziheng, et al.
Published: (2026)
IACT: A Self-Organizing Recursive Model for General AI Agents: A Technical White Paper on the Architecture Behind kragent.ai
by: Lu, Pengju
Published: (2025)
by: Lu, Pengju
Published: (2025)
AIBoMGen: Generating an AI Bill of Materials for Secure, Transparent, and Compliant Model Training
by: Vandendriessche, Wiebe, et al.
Published: (2026)
by: Vandendriessche, Wiebe, et al.
Published: (2026)
Decentralised Governance-Driven Architecture for Designing Foundation Model based Systems: Exploring the Role of Blockchain in Responsible AI
by: Liu, Yue, et al.
Published: (2023)
by: Liu, Yue, et al.
Published: (2023)
An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process
by: Synovic, Nicholas M., et al.
Published: (2026)
by: Synovic, Nicholas M., et al.
Published: (2026)
RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations
by: Li, Hanyu, et al.
Published: (2026)
by: Li, Hanyu, et al.
Published: (2026)
Can an LLM Detect Instances of Microservice Infrastructure Patterns?
by: Duarte, Carlos Eduardo, et al.
Published: (2026)
by: Duarte, Carlos Eduardo, et al.
Published: (2026)
Similar Items
-
Investigating Training Data Detection in AI Coders
by: Li, Tianlin, et al.
Published: (2025) -
A Framework for the Adoption and Integration of Generative AI in Midsize Organizations and Enterprises (FAIGMOE)
by: Weinberg, Abraham Itzhak
Published: (2025) -
Let the Barbarians In: How AI Can Accelerate Systems Performance Research
by: Cheng, Audrey, et al.
Published: (2025) -
ProgramBench: Can Language Models Rebuild Programs From Scratch?
by: Yang, John, et al.
Published: (2026) -
Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion
by: Liu, Dengfeng, et al.
Published: (2025)