Sameer Singh
About
Dr. Sameer Singh is a Professor of Computer Science at UC Irvine. He is working primarily on the robustness and interpretability of machine learning algorithms and models that reason with text and structure for natural language processing. Sameer was a postdoctoral researcher at the University of Washington and received his Ph.D. from the University of Massachusetts, Amherst. He has been named the Kavli Fellow by the National Academy of Sciences, received the NSF CAREER award, UCI Distinguished Early Career Faculty award, the Hellman Faculty Fellowship, and was selected as a DARPA Riser. His group has received funding from Allen Institute for AI, Amazon, NSF, DARPA, Adobe Research, Hasso Plattner Institute, NEC, Base 11, and FICO. Sameer has published extensively at machine learning and natural language processing venues and received conference paper awards at KDD 2016, ACL 2018, EMNLP 2019, AKBC 2020, ACL 2020, and NAACL 2022.
Research Performance Summary
First Recorded Paper
Modeling Performance of Different Classification Methods: Deviation from the Power Law
Year: 2005
Citations: 23
Venue: Project Report, Department of Computer Science, Vanderbilt University, USA
Latest Recorded Paper
Entropy-Aligned Decoding of LMs for Better Writing and Reasoning
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2601.01714
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.