5 citations · 5 across the 4 of their papers we have counts for
4 papers
Compositional preference models for aligning LMs
Dongyoung Go, Tomasz Korbak, Germán Kruszewski +2
As language models (LMs) become more capable, it is increasingly important to align them with human preferences. However, the dominant paradigm for training Preference Models (PMs)…
Aligning Language Models with Preferences through f-divergence Minimization
Dongyoung Go, Tomasz Korbak, Germán Kruszewski +3
Aligning language models with preferences can be posed as approximating a target distribution representing some desired behavior. Existing approaches differ both in the functional…
lsirm12pl: An R package for latent space item response modeling
Dongyoung Go, Gwanghee Kim, Jina Park +3
The item response model in latent space (LSIRM; Jeon et al., 2021) uncovers unobserved interactions between respondents and items in the item response data by embedding both in a s…
Quantile Regression with Multiple Proxy Variables
Dongyoung Go, Jongho Im, Ick Hoon Jin
Data integration has become increasingly popular owing to the availability of multiple data sources. This study considered quantile regression estimation when a key covariate had m…