2 papers
physics.optics2026
Data-Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning
Sunghyun Nam, Chan Y. Park, Min Seok Jang
In neural network surrogate solvers for electromagnetic simulations, accurately modeling resonant phenomena remains a central challenge. High-amplitude resonances generate strongly…
cs.CL2024
SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment
Quan Ze Chen, K. J. Kevin Feng, Chan Young Park +1
When different groups' values differ, one approach to model alignment is to steer models at inference time towards each group's preferences. However, techniques like in-context lea…