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20172026
most citedPreservation of the Global Knowledge by Not-True Distillation in Federated Learning

44 citations · 50 across the 12 of their papers we have counts for

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cs.AI2024

BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization

Gihun Lee, Minchan Jeong, Yujin Kim +4

While learning to align Large Language Models (LLMs) with human preferences has shown remarkable success, aligning these models to meet the diverse user preferences presents furthe…

cs.AI2017

Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles

Jung-hun Kim, Se-Young Yun, Minchan Jeong +3

We study contextual linear bandit problems under feature uncertainty, where the features are noisy and have missing entries. To address the challenges posed by this noise, we analy…