2 papers
cs.LG2026
Alignment Adapter to Improve the Performance of Compressed Deep Learning Models
Rohit Raj Rai, Abhishek Dhaka, Amit Awekar
Compressed Deep Learning (DL) models are essential for deployment in resource-constrained environments. But their performance often lags behind their large-scale counterparts. To b…
cs.CL2025
Models in the Same Family are NOT Trust-Equivalent
Rohit Raj Rai, Chirag Kothari, Siddhesh Shelke +2
Within a model family, a smaller variant is often deployed as a drop-in replacement for a larger one when their performance is similar. However, performance alone does not tell the…