MohammadHossein Rezaei
I am a Machine Learning Research Engineer at Scale AI
where I work on post-training and evaluation of LLMs. I worked on OnlineRubrics, an approach for post-training LLMs with evolving rubrics to improve alignment in tasks without verifiable ground-truth.
I earned a B.S. in Computer Science from the University of Arizona
. I was a member of the Computational Language Understanding (CLU) Lab, advised by Eduardo Blanco, where I worked on making SLMs more robust against negation by further pre-training and paraphrasing in affirmative terms.
Previously, I was a research intern at Stanford University
in the SALT Lab advised by Diyi Yang. There, I co-created EgoNormia, a benchmark for evaluating physical-social norm understanding in vision-language models.