3 papers
cs.CV2026
Parallel In-context Learning for Large Vision Language Models
Shin'ya Yamaguchi, Daiki Chijiwa, Tamao Sakao +1
Large vision-language models (LVLMs) employ multi-modal in-context learning (MM-ICL) to adapt to new tasks by leveraging demonstration examples. While increasing the number of demo…
cs.CL2025
Lossless Vocabulary Reduction for Auto-Regressive Language Models
Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida +4
Tokenization -- the process of decomposing a given text into a sequence of subwords called tokens -- is one of the key components in the development of language models. Particularl…
nucl-ex2025
Cross section Measurements for C and C Reactions at 1.8 GeV
Woo Seung Jung, Yudai Ichikawa, Byung Min Kang +30
We present a measurement of the production of and in the C reaction at an incident beam momentum of 1.8 GeV/, based on high-statistics dat…