most citedRakutenAI-7B: Extending Large Language Models for Japanese

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

A Large Language Model Based Method for Complex Logical Reasoning over Knowledge Graphs

Ziyan Zhang, Chao Wang, Zhuo Chen +3

Reasoning over knowledge graphs (KGs) with first-order logic (FOL) queries is challenging due to the inherent incompleteness of real-world KGs and the compositional complexity of l…

cs.SE2025

PSD2Code: Automated Front-End Code Generation from Design Files via Multimodal Large Language Models

Yongxi Chen, Lei Chen

Design-to-code generation has emerged as a promising approach to bridge the gap between design prototypes and deployable frontend code. However, existing methods often suffer from…

cs.NE2025

Effective Self-Attention-Based Deep Learning Model with Evolutionary Grid Search for Robust Wave Farm Energy Forecasting

Amin Abdollahi Dehkordi, Mehdi Neshat, Nataliia Y. Sergiienko +5

Achieving carbon neutrality, a key focus of UN SDG #13, drives the exploration of wave energy, a renewable resource with the potential to generate 30,000 TWh of clean electricity a…

cs.CL2024

Reducing Distraction in Long-Context Language Models by Focused Learning

Zijun Wu, Bingyuan Liu, Ran Yan +2

Recent advancements in Large Language Models (LLMs) have significantly enhanced their capacity to process long contexts. However, effectively utilizing this long context remains a…

cs.CL2024★ 1 cited

RakutenAI-7B: Extending Large Language Models for Japanese

Rakuten Group, Aaron Levine, Connie Huang +27

We introduce RakutenAI-7B, a suite of Japanese-oriented large language models that achieve the best performance on the Japanese LM Harness benchmarks among the open 7B models. Alon…