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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…
cs.CL2024
Application Specific Compression of Deep Learning Models
Rohit Raj Rai, Angana Borah, Amit Awekar
Large Deep Learning models are compressed and deployed for specific applications. However, current Deep Learning model compression methods do not utilize the information about the…
cs.CL2023
Effect of dimensionality change on the bias of word embeddings
Rohit Raj Rai, Amit Awekar
Word embedding methods (WEMs) are extensively used for representing text data. The dimensionality of these embeddings varies across various tasks and implementations. The effect of…