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cs.LG2025
KAIROS: Scalable Model-Agnostic Data Valuation
Jiongli Zhu, Parjanya Prajakta Prashant, Alex Cloninger +1
Training data increasingly shapes not only model accuracy but also regulatory compliance and market valuation of AI assets. Yet existing valuation methods remain inadequate: model-…
stat.AP2025
Using Causal Inference to Explore Government Policy Impact on Computer Usage
Mingjia Zhu, Lechuan Wang, Julien Sebot +3
We explore the causal relationship between COVID-19 lockdown policies and changes in personal computer usage. In particular, we examine how lockdown policies affected average daily…
cs.LG2025
A Lightweight Method to Disrupt Memorized Sequences in LLM
Parjanya Prajakta Prashant, Kaustubh Ponkshe, Babak Salimi
As language models scale, their performance improves dramatically across a wide range of tasks, but so does their tendency to memorize and regurgitate parts of their training data…