1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Cross-Agent Learning Signals Enable Coordinated Role-Decomposed LLM Training
Jaewan Park, Solbee Cho, Jay-Yoon Lee
Agentic search systems must coordinate evidence acquisition and response generation, yet existing approaches either couple both roles under a single agent objective or decompose th…
cs.CL2024★ 1 cited
Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean
ChangSu Choi, Yongbin Jeong, Seoyoon Park +11
Large language models (LLMs) use pretraining to predict the subsequent word; however, their expansion requires significant computing resources. Numerous big tech companies and rese…