Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Oda Yusuke"'
Autor:
LLM-jp, Aizawa, Akiko, Aramaki, Eiji, Chen, Bowen, Cheng, Fei, Deguchi, Hiroyuki, Enomoto, Rintaro, Fujii, Kazuki, Fukumoto, Kensuke, Fukushima, Takuya, Han, Namgi, Harada, Yuto, Hashimoto, Chikara, Hiraoka, Tatsuya, Hisada, Shohei, Hosokawa, Sosuke, Jie, Lu, Kamata, Keisuke, Kanazawa, Teruhito, Kanezashi, Hiroki, Kataoka, Hiroshi, Katsumata, Satoru, Kawahara, Daisuke, Kawano, Seiya, Keyaki, Atsushi, Kiryu, Keisuke, Kiyomaru, Hirokazu, Kodama, Takashi, Kubo, Takahiro, Kuga, Yohei, Kumon, Ryoma, Kurita, Shuhei, Kurohashi, Sadao, Li, Conglong, Maekawa, Taiki, Matsuda, Hiroshi, Miyao, Yusuke, Mizuki, Kentaro, Mizuki, Sakae, Murawaki, Yugo, Nakamura, Ryo, Nakamura, Taishi, Nakayama, Kouta, Nakazato, Tomoka, Niitsuma, Takuro, Nishitoba, Jiro, Oda, Yusuke, Ogawa, Hayato, Okamoto, Takumi, Okazaki, Naoaki, Oseki, Yohei, Ozaki, Shintaro, Ryu, Koki, Rzepka, Rafal, Sakaguchi, Keisuke, Sasaki, Shota, Sekine, Satoshi, Suda, Kohei, Sugawara, Saku, Sugiura, Issa, Sugiyama, Hiroaki, Suzuki, Hisami, Suzuki, Jun, Suzumura, Toyotaro, Tachibana, Kensuke, Takagi, Yu, Takami, Kyosuke, Takeda, Koichi, Takeshita, Masashi, Tanaka, Masahiro, Taura, Kenjiro, Tolmachev, Arseny, Ueda, Nobuhiro, Wan, Zhen, Yada, Shuntaro, Yahata, Sakiko, Yamamoto, Yuya, Yamauchi, Yusuke, Yanaka, Hitomi, Yokota, Rio, Yoshino, Koichiro
This paper introduces LLM-jp, a cross-organizational project for the research and development of Japanese large language models (LLMs). LLM-jp aims to develop open-source and strong Japanese LLMs, and as of this writing, more than 1,500 participants
Externí odkaz:
http://arxiv.org/abs/2407.03963
This paper proposes an approach to improve the runtime efficiency of Japanese tokenization based on the pointwise linear classification (PLC) framework, which formulates the whole tokenization process as a sequence of linear classification problems.
Externí odkaz:
http://arxiv.org/abs/2406.17185
A less complex and more straightforward program is a crucial factor that enhances its maintainability and makes writing secure and bug-free programs easier. However, due to its heavy workload and the risks of breaking the working programs, programmer
Externí odkaz:
http://arxiv.org/abs/2311.11690
Autor:
Shirafuji, Atsushi, Watanobe, Yutaka, Ito, Takumi, Morishita, Makoto, Nakamura, Yuki, Oda, Yusuke, Suzuki, Jun
Using large language models (LLMs) for source code has recently gained attention. LLMs, such as Transformer-based models like Codex and ChatGPT, have been shown to be highly capable of solving a wide range of programming problems. However, the extent
Externí odkaz:
http://arxiv.org/abs/2306.14583
Publikováno v:
Software: Practice and Experience (SPE), 53(6): 1332-1361, 2023
Multiple pattern matching in strings is a fundamental problem in text processing applications such as regular expressions or tokenization. This paper studies efficient implementations of double-array Aho-Corasick automata (DAACs), data structures for
Externí odkaz:
http://arxiv.org/abs/2207.13870
Finetuning large pre-trained language models with a task-specific head has advanced the state-of-the-art on many natural language understanding benchmarks. However, models with a task-specific head require a lot of training data, making them suscepti
Externí odkaz:
http://arxiv.org/abs/2205.09295
Autor:
Oda, Yusuke, Sawada, Satoru, Itouyama, Noboru, Matsuoka, Ken, Kasahara, Jiro, Kawasaki, Akira, Matsuo, Akiko, Funaki, Ikkoh
Publikováno v:
In Proceedings of the Combustion Institute 2024 40(1-4)
Autor:
Hayashi, Hiroaki, Oda, Yusuke, Birch, Alexandra, Konstas, Ioannis, Finch, Andrew, Luong, Minh-Thang, Neubig, Graham, Sudoh, Katsuhito
This document describes the findings of the Third Workshop on Neural Generation and Translation, held in concert with the annual conference of the Empirical Methods in Natural Language Processing (EMNLP 2019). First, we summarize the research trends
Externí odkaz:
http://arxiv.org/abs/1910.13299
This document describes the findings of the Second Workshop on Neural Machine Translation and Generation, held in concert with the annual conference of the Association for Computational Linguistics (ACL 2018). First, we summarize the research trends
Externí odkaz:
http://arxiv.org/abs/1806.02940
Autor:
Akita, Tomomi, Oda, Yusuke, Kimura, Ryosuke, Nagai, Mio, Tezuka, Ayano, Shimamura, Mizuki, Washizu, Kaho, Oka, Jun-Ichiro, Yamashita, Chikamasa
Publikováno v:
In Journal of Controlled Release November 2022 351:573-580