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cs.LG2024
Can Low-Rank Knowledge Distillation in LLMs be Useful for Microelectronic Reasoning?
Nirjhor Rouf, Fin Amin, Paul D. Franzon
In this work, we present empirical results regarding the feasibility of using offline large language models (LLMs) in the context of electronic design automation (EDA). The goal is…
cs.LG2024
Addressing Large Action Spaces in 3D Floorplanning via Spatial Generalization
Fin Amin, Nirjhor Rouf, Tse-Han Pan +3
Many recent machine learning approaches to floorplanning represent placement decisions using discrete canvas coordinates, which creates scalability bottlenecks as the action space…
cs.LG2024
The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms
Fin Amin, Jung-Eun Kim
When neural networks are confronted with unfamiliar data that deviate from their training set, this signifies a domain shift. While these networks output predictions on their input…