Heasung Kim
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
ML×1AI×1
Frequent co-authors
Research Timeline
2026
Foundation-Preserving Adaptation via Generalized Rayleigh-Quotient Optimization
The paper introduces FoLoRA, a novel optimization framework that uses a generalized Rayleigh quotient to achieve a superior balance between adapting foundation models to specific tasks and preserving their general, pretraining-acquired capabilities.
Highlighted terms show continued research focus across papers
Papers
cs.LGcs.AIRecentMay 28, 2026
Foundation-Preserving Adaptation via Generalized Rayleigh-Quotient Optimization
Dongjun Kim, Adrian de Wynter, Huancheng Chen, Heasung Kim +1 more
The paper introduces FoLoRA, a novel optimization framework that uses a generalized Rayleigh quotient to achieve a superior balance between adapting foundation models to specific tasks and preserving…
View →