5 papers · 1 filter
When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face
Adekunle Ajibode, Oussama Ben Sghaier, Bram Adams +1
Pre-trained Language Models (PTLMs) are increasingly reused as dependencies in modern software systems, even though prior work has documented persistent structural problems in PTLM…
Towards Imputation of Pre-Trained Language Model Metadata using Semantic Fingerprinting
Adekunle Ajibode, Oussama Ben Sghaier, Keheliya Gallaba +2
Pre-trained language models (PTLMs) hosted on platforms such as Hugging Face form complex lineage structures similar to software dependency graphs. However, unlike traditional soft…
On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository
Adekunle Ajibode, Abdul Ali Bangash, Oussama Ben Sghaier +2
Pre-trained language models (PTLMs) have transformed natural language processing (NLP), enabling major advances in tasks such as text generation and translation. Similar to softwar…
Towards Semantic Versioning of Open Pre-trained Language Model Releases on Hugging Face
Adekunle Ajibode, Abdul Ali Bangash, Filipe Roseiro Cogo +2
The proliferation of open Pre-trained Language Models (PTLMs) on model registry platforms like Hugging Face (HF) presents both opportunities and challenges for companies building p…
Systematic literature review on forecasting and prediction of technical debt evolution
Adekunle Ajibode, Yvon Apedo, Temitope Ajibode
Context: Technical debt (TD) refers to the additional costs incurred due to compromises in software quality, providing short-term advantages during development but potentially comp…