1 citations · 1 across the 5 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
MIDUS: Memory-Infused Depth Up-Scaling
Taero Kim, Hoyoon Byun, Youngjun Choi +2
Expanding pre-trained language models offers a practical way to increase capacity without training larger models from scratch. Depth Up-Scaling (DUS) does so by duplicating Transfo…
cs.LG2025
Adaptive Task Vectors for Large Language Models
Joonseong Kang, Soojeong Lee, Subeen Park +5
In-Context Learning (ICL) enables Large Language Models (LLMs) to perform tasks without parameter updates by conditioning on a few demonstrations provided in the prompt. Despite it…