PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in
Open-Source Software

PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software

1 February 2024

Nicholas Synovic

Nathaniel Bielanski

George K. Thiruvathukal

Papers citing "PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software"

6 / 6 papers shown

Title
Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs Jian Zhao Shenao Wang Yanjie Zhao Xinyi Hou Kailong Wang Peiming Gao Yuanchao Zhang Chen Wei Haoyu Wang 31 10 0 14 Sep 2024
A Large-Scale Study of Model Integration in ML-Enabled Software Systems Yorick Sens Henriette Knopp Sven Peldszus Thorsten Berger AIFin 24 2 0 12 Aug 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 233 2,232 0 22 Mar 2023
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision Wenxin Jiang Vishnu Banna Naveen Vivek Abhinav Goel Nicholas Synovic George K. Thiruvathukal James C. Davis VLM 26 18 0 13 Mar 2023
A Systematic Survey of Chemical Pre-trained Models Jun-Xiong Xia Yanqiao Zhu Yuanqi Du Stan Z.Li AI4CE 54 51 0 29 Oct 2022
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair Nan Jiang Thibaud Lutellier Lin Tan NAI 132 233 0 26 Feb 2021