This program is tentative and subject to change.
The rapid proliferation of publicly available artificial intelligence models on platforms such Hugging Face has formed a complex model supply chain, where base models are continually transformed, e.g., by fine-tuning, quantization, and merging, into new derived models. Despite its critical importance for reuse, provenance, and risk management, this supply chain remains poorly characterized at scale.
We construct the first comprehensive model supply chain based on models on Hugging Face as of June 25, 2025, which consists of 1.82 million models as well as 0.54 million dependency relations. Then, we conduct the first systematic study to characterize the usage, evolution, quality, and risk of this model supply chain. Finally, we provide actionable implications for model maintainers, consumers, platform designers, and researchers to foster this new direction in the era of AI.
This program is tentative and subject to change.
Thu 16 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
16:00 - 17:30 | Software Engineering for AI 6Journal-first Papers / Demonstrations / Research Track / New Ideas and Emerging Results (NIER) at Oceania VII | ||
16:00 15mTalk | TenderChat with Dynamic RAG: A Prompt-Adaptive RAG Framework for Australian Government Tender Analysis Demonstrations Hayden Fowler University of Technology Sydney, Ruihan Xie University of Technology Sydney, Morteza Saberi University of Technology Sydney, Ali Braytee University of Technology Sydney | ||
16:15 15mTalk | PreServe: Intelligent Management for LMaaS Systems via Hierarchical Prediction Research Track Zhihan Jiang The Chinese University of Hong Kong, Yujie Huang The Chinese University of Hong Kong, Guangba Yu The Chinese University of Hong Kong, Junjie Huang The Chinese University of Hong Kong, Jiazhen Gu Chinese University of Hong Kong, Michael Lyu The Chinese University of Hong Kong | ||
16:30 15mTalk | From Tea Leaves to System Maps: Context-awareness in Monitoring Operational Machine Learning Models Journal-first Papers Joran Leest Vrije Universiteit Amsterdam, Claudia Raibulet Vrije Universiteit Amsterdam, Patricia Lago Vrije Universiteit Amsterdam, Ilias Gerostathopoulos Vrije Universiteit Amsterdam | ||
16:45 15mTalk | Specification and Detection of LLM Code Smells New Ideas and Emerging Results (NIER) Brahim Mahmoudi École de technologie supérieure, Zacharie Chenail-Larcher École de technologie supérieure (ÉTS), Naouel Moha École de Technologie Supérieure (ETS), Quentin Stiévenart Université du Québec à Montréal, Florent AVELLANEDA Université du Québec à Montréal | ||
17:00 15mTalk | A First Look at Model Supply Chain: From the Risk Perspective Research Track Ziqian Chen Fudan University, Zekai Chen Fudan University, Susheng Wu Fudan University, Bihuan Chen Fudan University, Wenyan Song Carnegie Mellon University, Yiheng Huang Fudan University, Zhuotong Zhou Fudan University, Yiheng Cao Fudan University, Xin Peng Fudan University | ||
17:15 15mTalk | An Efficient Model Maintenance Approach for MLOps Journal-first Papers Forough Majidi Polytechnique Montreal, Foutse Khomh Polytechnique Montréal, Heng Li Polytechnique Montréal, Amin Nikanjam Huawei Canada | ||