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cs.CL2026
Learning What to Remember: Long-horizon Counterfactual Memory Optimization
Jiaming Tang, Mingyan Liu, Armin Sarabi
Persistent textual memory allows language models to carry information across long interactions, but learning what to remember is fundamentally a credit-assignment problem. A memory…
cs.CR2026
Decoding the Legalese: A Scalable and Quantitative Framework for Analyzing Corporate Privacy Policies
Jiaming Tang, Chenlan Wang, Mingyan Liu +1
Even though privacy policies are the primary mechanism organizations use to disclose how they collect, process, and share personal data, they are difficult for average users to int…
cs.CR2026
Estimating the Social Cost of Corporate Data Breaches
Lina Alkarmi, Armin Sarabi, Mingyan Liu
While the size of a data breach is typically measured by the number of (consumer, customer, or user) records exposed or compromised, its economic impact is generally measured from…