12 citations · 38 across the 16 of their papers we have counts for
4 papers · 1 filter
Self-Preference Bias in LLM-as-a-Judge
Koki Wataoka, Tsubasa Takahashi, Ryokan Ri
Automated evaluation leveraging large language models (LLMs), commonly referred to as LLM evaluators or LLM-as-a-judge, has been widely used in measuring the performance of dialogu…
Self-Translate-Train: Enhancing Cross-Lingual Transfer of Large Language Models via Inherent Capability
Ryokan Ri, Shun Kiyono, Sho Takase
Zero-shot cross-lingual transfer by fine-tuning multilingual pretrained models shows promise for low-resource languages, but often suffers from misalignment of internal representat…
Large Vocabulary Size Improves Large Language Models
Sho Takase, Ryokan Ri, Shun Kiyono +1
This paper empirically investigates the relationship between subword vocabulary size and the performance of large language models (LLMs) to provide insights on how to define the vo…
LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation
Ikuya Yamada, Ryokan Ri
Adapting English-based large language models (LLMs) to other languages has become increasingly popular due to the efficiency and potential of cross-lingual transfer. However, exist…