Sayan Ghosh

Hello!
I am currently a 4th year PhD Student at the University of Southern California.
These days, I am very interested in LLM evaluation, characterizing LLM behaviors by analyzing their longform text outputs, test-time scaling, and finding out whether we can better control the trade-off between the peaky distributions induced by alignment and the wilder, untamed distributions learnt by base models.
Previously, I was a research engineer at ASAPP. I studied Math and Computer Science at the University of Michigan, where I was fortunate to be advised by David Jurgens and Joyce Chai. I worked on several projects in areas ranging from pragmatics, sociolinguistics, network theory, and bias/fairness.
I am always willing to help and advise undergrad or masters students interested in NLP research. If you are interested in collaborating, please email me at ghoshsay@usc.edu!
Here is a current CV.
news
Oct 7, 2025 | Presenting workshop version of new preprint at SCALR @ COLM 2025: Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs |
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Nov 12, 2024 | Presented Separability at EMNLP 2024 in Miami! |
Jul 3, 2024 | New preprint: Compare without Despair: Reliable Preference Evaluation with Generation Separability |
Jul 18, 2022 | I will be joining USC as a PhD Student in Fall 2022! |