Rohan Sethi

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Stackelberg Game

Semantic Role Labeling

Similarity Metrics

Software Repositories

Top Venues

Publications

Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE (2023)
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. CoRR (2023)
Chandralika Chakraborty, Rohan Sethi, Vidushi Chauhan, Bhairab Sarma, Udit Kumar Chakraborty
Automatic Short Answer Grading Using Universal Sentence Encoder. ICL (1) (2022)
Nicholas Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. CoRR (2022)
Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain. SCORED@CCS (2022)
Nicholas M. Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. ASE (2022)