2 papers
cs.CL2025
Learning-Time Encoding Shapes Unlearning in LLMs
Ruihan Wu, Konstantin Garov, Kamalika Chaudhuri
As large language models (LLMs) are increasingly deployed in the real world, the ability to ``unlearn'', or remove specific pieces of knowledge post hoc, has become essential for a…
cs.LG2025
A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection
Konstantin Garov, Kamalika Chaudhuri
Machine learning algorithms often encounter different or "out-of-distribution" (OOD) data at deployment time, and OOD detection is frequently employed to detect these examples. Whi…