mlsanityData to 7 Oct 2026

RakutenAI-7B: Extending Large Language Models for Japanese

arXiv 2403.15484 ↗First posted 21 Mar 2024cs.CL cs.LGcited by 13

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Abstract (arXiv)

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. Along with the foundation model, we release instruction- and chat-tuned models, RakutenAI-7B-instruct and RakutenAI-7B-chat respectively, under the Apache 2.0 license.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 10 of its 17 references that are in the map. First posted on arXiv 21 Mar 2024.

Builds on

10 of 17 references.

References · 10

  1. 2020Measuring Massive Multitask Language Understandingcited by 7,768
  2. 2018Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challengecited by 4,710
  3. 2019HellaSwag: Can a Machine Really Finish Your Sentence?cited by 4,018
  4. 2021TruthfulQA: Measuring How Models Mimic Human Falsehoodscited by 2,919
  5. 2018CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledgecited by 1,793
  6. 2022Language Models are Multilingual Chain-of-Thought Reasonerscited by 518
  7. 2021Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpuscited by 481
  8. 2021XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languagescited by 346
  9. 2020The Multilingual Amazon Reviews Corpuscited by 142
  10. 2018ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Taskscited by 66

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 7; 2025: 4; 2026: 2.

13 papers.

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