Cover Image

Looking into Black Box Code Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Haider, Muhammad Umair, Farooq, Umar, Siddique, A. B., Marron, Mark
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps
by: Chhetri, Vinaik, et al.
Published: (2025)

A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems
by: Liu, Daniel, et al.
Published: (2026)

Toward an Agentic Infused Software Ecosystem
by: Marron, Mark
Published: (2026)

The Competence Shadow: Theory and Bounds of AI Assistance in Safety Engineering
by: Siddique, Umair
Published: (2026)

Understanding Robustness of Model Editing in Code LLMs
by: Chhetri, Vinaik, et al.
Published: (2025)

Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code
by: Honarvar, Shahin, et al.
Published: (2023)

Understanding Defects in Generated Codes by Language Models
by: Esfahani, Ali Mohammadi, et al.
Published: (2024)

Analyzing the Evolution and Maintenance of Quantum Software Repositories
by: Upadhyay, Krishna, et al.
Published: (2025)

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG
by: Basit, Abdul, et al.
Published: (2025)

Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning
by: Yan, Shenao, et al.
Published: (2026)

Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming
by: Ashraf, Humza, et al.
Published: (2025)

I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution
by: Choi, Soohyeon, et al.
Published: (2025)

Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)

Localized Calibrated Uncertainty in Code Language Models
by: Gros, David, et al.
Published: (2025)

WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models
by: Lei, Xinping, et al.
Published: (2026)

Fine-Tuning Code Language Models to Detect Cross-Language Bugs
by: Li, Zengyang, et al.
Published: (2025)

GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
by: Hou, Shuyang, et al.
Published: (2024)

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
by: Abtahi, Seyed Moein, et al.
Published: (2025)

Task Abstention for Large Language Models in Code Generation
by: Zhou, Yanke, et al.
Published: (2026)

CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models
by: Padwal, Vedant
Published: (2026)

Do Current Language Models Support Code Intelligence for R Programming Language?
by: Zhao, ZiXiao, et al.
Published: (2024)

Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, et al.
Published: (2025)

Personality-Guided Code Generation Using Large Language Models
by: Guo, Yaoqi, et al.
Published: (2024)

Bugs in Large Language Models Generated Code: An Empirical Study
by: Tambon, Florian, et al.
Published: (2024)

Assessing the Code Clone Detection Capability of Large Language Models
by: Zhang, Zixian, et al.
Published: (2024)

Large Language Model Guided Self-Debugging Code Generation
by: Adnan, Muntasir, et al.
Published: (2025)

Devstral: Fine-tuning Language Models for Coding Agent Applications
by: Rastogi, Abhinav, et al.
Published: (2025)

Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization
by: Li, Jiliang, et al.
Published: (2024)

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
by: Xiong, Zhanhang, et al.
Published: (2025)

Towards Leveraging Large Language Model Summaries for Topic Modeling in Source Code
by: Carissimi, Michele, et al.
Published: (2025)

Large Language Model-Driven Code Compliance Checking in Building Information Modeling
by: Madireddy, Soumya, et al.
Published: (2025)

On the Compression of Language Models for Code: An Empirical Study on CodeBERT
by: d'Aloisio, Giordano, et al.
Published: (2024)

Output Format Biases in the Evaluation of Large Language Models for Code Translation
by: Macedo, Marcos, et al.
Published: (2024)

An Empirical Study on Capability of Large Language Models in Understanding Code Semantics
by: Nguyen, Thu-Trang, et al.
Published: (2024)

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
by: Yang, Zhen, et al.
Published: (2024)

Automated Repair of AI Code with Large Language Models and Formal Verification
by: Charalambous, Yiannis, et al.
Published: (2024)

Large Language Models in Code Co-generation for Safe Autonomous Vehicles
by: Nouri, Ali, et al.
Published: (2025)

Combining Large Language Models with Static Analyzers for Code Review Generation
by: Jaoua, Imen, et al.
Published: (2025)

A Comparative Analysis of Large Language Models for Code Documentation Generation
by: Dvivedi, Shubhang Shekhar, et al.
Published: (2023)

Automated Code Review Using Large Language Models with Symbolic Reasoning
by: Icoz, Busra, et al.
Published: (2025)