Image de couverture de livre

Towards Semantic Versioning of Open Pre-trained Language Model Releases on Hugging Face

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ajibode, Adekunle, Bangash, Abdul Ali, Cogo, Filipe Roseiro, Adams, Bram, Hassan, Ahmed E.
Format:	Preprint
Publié:	2024
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository
par: Ajibode, Adekunle, et autres
Publié: (2025)

On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
par: Zhao, Zhimin, et autres
Publié: (2024)

Understanding Prompt Management in GitHub Repositories: A Call for Best Practices
par: Li, Hao, et autres
Publié: (2025)

Systematic literature review on forecasting and prediction of technical debt evolution
par: Ajibode, Adekunle, et autres
Publié: (2024)

HAFix: History-Augmented Large Language Models for Bug Fixing
par: Shi, Yu, et autres
Publié: (2025)

From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem
par: Jewitt, James, et autres
Publié: (2025)

Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild
par: Zhao, Zhimin, et autres
Publié: (2026)

An Empirical Study of Challenges in Machine Learning Asset Management
par: Zhao, Zhimin, et autres
Publié: (2024)

Output Format Biases in the Evaluation of Large Language Models for Code Translation
par: Macedo, Marcos, et autres
Publié: (2024)

The State of the SBOM Tool Ecosystems: A Comparative Analysis of SPDX and CycloneDX
par: Bangash, Abdul Ali, et autres
Publié: (2025)

Leveraging the Crowd for Dependency Management: An Empirical Study on the Dependabot Compatibility Score
par: Rombaut, Benjamin, et autres
Publié: (2024)

Compiler.next: A Search-Based Compiler to Power the AI-Native Future of Software Engineering
par: Cogo, Filipe R., et autres
Publié: (2025)

The State of Documentation Practices of Third-party Machine Learning Models and Datasets
par: Oreamuno, Ernesto Lang, et autres
Publié: (2023)

Does Using Bazel Help Speed Up Continuous Integration Builds?
par: Zheng, Shenyu, et autres
Publié: (2024)

I depended on you and you broke me: An empirical study of manifesting breaking changes in client packages
par: Venturini, Daniel, et autres
Publié: (2023)

InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation
par: Macedo, Marcos, et autres
Publié: (2024)

A State-of-the-practice Release-readiness Checklist for Generative AI-based Software Products
par: Patel, Harsh, et autres
Publié: (2024)

An Empirical Framework for Evaluating Semantic Preservation Using Hugging Face
par: Jia, Nan, et autres
Publié: (2025)

AgenticSZZ: Temporal Knowledge Graph-Guided Agentic Bug-Inducing Commit Identification
par: Shi, Yu, et autres
Publié: (2026)

An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software
par: Bhatia, Aaditya, et autres
Publié: (2023)

Assessing and Improving the Representativeness of Code Generation Benchmarks Using Knowledge Units (KUs) of Programming Languages -- An Empirical Study
par: Ahasanuzzaman, Md, et autres
Publié: (2026)

Automated categorization of pre-trained models for software engineering: A case study with a Hugging Face dataset
par: Di Sipio, Claudio, et autres
Publié: (2024)

IRJIT: A Simple, Online, Information Retrieval Approach for Just-In-Time Software Defect Prediction
par: Sahar, Hareem, et autres
Publié: (2022)

On the Effect of Token Merging on Pre-trained Models for Code
par: Saad, Mootez, et autres
Publié: (2025)

Exploring the Role of Women in Hugging Face Organizations
par: Salinas, Maria Tubella, et autres
Publié: (2025)

On the Adoption of AI Coding Agents in Open-source Android and iOS Development
par: Khan, Muhammad Ahmad, et autres
Publié: (2026)

An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face
par: Liu, Yujian, et autres
Publié: (2026)

HAFixAgent: History-Aware Program Repair Agent
par: Shi, Yu, et autres
Publié: (2025)

Continuous Integration Practices in Machine Learning Projects: The Practitioners` Perspective
par: Bernardo, João Helis, et autres
Publié: (2025)

Lessons Learned from Mining the Hugging Face Repository
par: Castaño, Joel, et autres
Publié: (2024)

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions
par: Hasan, Mohammed Mehedi, et autres
Publié: (2026)

OmniLLP: Enhancing LLM-based Log Level Prediction with Context-Aware Retrieval
par: Ouatiti, Youssef Esseddiq, et autres
Publié: (2025)

An Empirical Study of Testing Practices in Open Source AI Agent Frameworks and Agentic Applications
par: Hasan, Mohammed Mehedi, et autres
Publié: (2025)

Novice Developers Produce Larger Review Overhead for Project Maintainers while Vibe Coding
par: Asdaque, Syed Ammar, et autres
Publié: (2026)

On the Footprints of Reviewer Bots Feedback on Agentic Pull Requests in OSS GitHub Repositories
par: Fatima, Syeda Kaneez, et autres
Publié: (2026)

On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
par: Singh, Jaskirat, et autres
Publié: (2024)

Cataloguing Hugging Face Models to Software Engineering Activities: Automation and Findings
par: González, Alexandra, et autres
Publié: (2025)

Analyzing the Evolution and Maintenance of ML Models on Hugging Face
par: Castaño, Joel, et autres
Publié: (2023)

Data Quality Antipatterns for Software Analytics
par: Bhatia, Aaditya, et autres
Publié: (2024)

Permissive-Washing in the Open AI Supply Chain: A Large-Scale Audit of License Integrity
par: Jewitt, James, et autres
Publié: (2026)