3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Random Is Hard to Beat: Active Selection in online DPO with Modern LLMs
Giyeong Oh, Junghyun Lee, Jaehyun Park +3
Modern LLMs inherit strong priors from web-scale pretraining, which can limit the headroom of post-training data-selection strategies. While Active Preference Learning (APL) seeks…
cs.AI2023★ 3 cited
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer
Jaehyun Park, Jaegyun Im, Sanha Hwang +4
In the pursuit of artificial general intelligence (AGI), we tackle Abstraction and Reasoning Corpus (ARC) tasks using a novel two-pronged approach. We employ the Decision Transform…
cs.LG2023
Understanding Contrastive Learning Through the Lens of Margins
Daniel Rho, TaeSoo Kim, Sooill Park +2
Contrastive learning, along with its variations, has been a highly effective self-supervised learning method across diverse domains. Contrastive learning measures the distance betw…