Large language model supply chain: A research agenda
The rapid advancement of large language models (LLMs) has revolutionized artificial
intelligence, introducing unprecedented capabilities in natural language processing and …
intelligence, introducing unprecedented capabilities in natural language processing and …
What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims
Background: Software Package Registries (SPRs) are an integral part of the software supply
chain. These collaborative platforms unite contributors, users, and code for streamlined …
chain. These collaborative platforms unite contributors, users, and code for streamlined …
Signing in four public software package registries: Quantity, quality, and influencing factors
TR Schorlemmer, KG Kalu, L Chigges… - … IEEE Symposium on …, 2024 - ieeexplore.ieee.org
Many software applications incorporate open-source third-party packages distributed by
public package registries. Guaranteeing authorship along this supply chain is a challenge …
public package registries. Guaranteeing authorship along this supply chain is a challenge …
Challenges and practices of deep learning model reengineering: A case study on computer vision
Context Many engineering organizations are reimplementing and extending deep neural
networks from the research community. We describe this process as deep learning model …
networks from the research community. We describe this process as deep learning model …
Analysis of failures and risks in deep learning model converters: A case study in the onnx ecosystem
Software engineers develop, fine-tune, and deploy deep learning (DL) models using a
variety of development frameworks and runtime environments. DL model converters move …
variety of development frameworks and runtime environments. DL model converters move …
Exploring naming conventions (and defects) of pre-trained deep learning models in hugging face and other model hubs
W Jiang, C Cheung, GK Thiruvathukal… - arXiv preprint arXiv …, 2023 - arxiv.org
As innovation in deep learning continues, many engineers want to adopt Pre-Trained deep
learning Models (PTMs) as components in computer systems. PTMs are part of a research-to …
learning Models (PTMs) as components in computer systems. PTMs are part of a research-to …
Peatmoss: A dataset and initial analysis of pre-trained models in open-source software
The development and training of deep learning models have become increasingly costly
and complex. Consequently, software engineers are adopting pre-trained models (PTMs) for …
and complex. Consequently, software engineers are adopting pre-trained models (PTMs) for …
Ecosystem of Large Language Models for Code
The availability of vast amounts of publicly accessible data of source code and the advances
in modern language models, coupled with increasing computational resources, have led to …
in modern language models, coupled with increasing computational resources, have led to …
Deep learning model reuse in the huggingface community: Challenges, benefit and trends
M Taraghi, G Dorcelus, A Foundjem, F Tambon… - arXiv preprint arXiv …, 2024 - arxiv.org
The ubiquity of large-scale Pre-Trained Models (PTMs) is on the rise, sparking interest in
model hubs, and dedicated platforms for hosting PTMs. Despite this trend, a comprehensive …
model hubs, and dedicated platforms for hosting PTMs. Despite this trend, a comprehensive …
Interoperability in deep learning: a user survey and failure analysis of ONNX model converters
Software engineers develop, fine-tune, and deploy deep learning (DL) models using a
variety of development frameworks and runtime environments. DL model converters move …
variety of development frameworks and runtime environments. DL model converters move …