81 citations · 83 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Mixture-Trained Merging for Unified Multi-Objective Models
SeongHyeon Kim, Chaeyun Jang, Seungyoo Lee +4
Unified language models are increasingly expected to combine heterogeneous capabilities, such as mathematics, code, instruction following, and controllable thinking behavior, withi…
cs.CL2025★ 2 cited
Kanana: Compute-efficient Bilingual Language Models
Kanana LLM Team, Yunju Bak, Hojin Lee +26
We introduce Kanana, a series of bilingual language models that demonstrate exceeding performance in Korean and competitive performance in English. The computational cost of Kanana…
cs.CV2023★ 81 cited
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
Kihyun You, Jawook Gu, Jiyeon Ham +5
A large-scale image-text pair dataset has greatly contributed to the development of vision-language pre-training (VLP) models, which enable zero-shot or few-shot classification wit…