2 papers
cs.CL2026
BBOWP-Bench: Evaluating LLMs on Black-Box Optimization Word Problems
Yutaro Yamada, Kei Hiroshima, Nozomu Yoshinari +2
Formulating an optimization problem strongly affects the quality of the final solution, yet good formulations usually require substantial expertise. Recent studies have therefore e…
cs.LG2026
Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning
Kei Hiroshima, Kento Uchida, Shinichi Shirakawa
Continual learning (CL) aims to train models sequentially on multiple tasks while mitigating catastrophic forgetting of previously learned knowledge. Recent advances in large pre-t…