NTT's Large Language Models 'tsuzumi 2' | NTT R&D Website
NTT's Large Language Models 'tsuzumi 2' | NTT R&D Website NTT R&D Website Research&Activity NTT's
https://www.rd.ntt/e/research/LLM_tsuzumi.html
P01_leaf_e.pdf
customizable Large language model “tsuzumi” NTT version Large Language Models Copyright © 2023 Nippon Telegraph
https://www.rd.ntt/forum/2023/doc/P01_leaf_e.pdf
NTT's Large Language Model "tsuzumi":A High-performance and Low-energy-consumption Large Language Model with Expertise in Specific Fields | NTT R&D Website
large language models (LLMs), including NTT's tsuzumi, which was announced in November 2023. Since
https://www.rd.ntt/e/research/JN202406_26659.html
Natural language processing | NTT R&D Website
retrieval. In recent years, NTT has focused on methods that use large-scale language models, which are
https://www.rd.ntt/e/hil/category/language/
P10_leaf_e.pdf
Background Large-scale language models, including ChatGPT, have made significant strides, striving
https://www.rd.ntt/forum/2023/doc/P10_leaf_e.pdf
P11_leaf_e.pdf
dive NTT version Large Language Models Copyright © 2023 Nippon Telegraph and Telephone Corporation All
https://www.rd.ntt/forum/2023/doc/P11_leaf_e.pdf
Toward a More Accurate and Easy-to-use System for Rapidly Evolving Machine Translation | NTT R&D Website
translation using large language models (LLMs) and machine translation using a Japanese-English bilingual
https://www.rd.ntt/e/research/JN202402_24997.html
Knowledge and Language-processing Technology that Supports and Substitutes Customer-contact Work|NTT R&D Website
tasks other than machine reading has also improved significantly, and language models are attracting
https://www.rd.ntt/e/research/JN202010_7462.html
NTT Human Informatics Laboratories | NTT R&D Website
intelligence through Large Language Models, World Models that replicate and predict real-world dynamics
https://www.rd.ntt/e/hil/
Research on Symbiotic Intelligence for Achieving Symbiosis among People and between People and Machines|NTT R&D Website
constructing large-scale pre-training language models for Japanese and conducting R&D to further improve their
https://www.rd.ntt/e/research/JN202110_15632.html
D01-01-e.pdf
the fiscal year 2027. 01-01 The evolution of 'tsuzumi’: NTT’s large language models Enhance its
https://www.rd.ntt/forum/2024/doc/D01-01-e.pdf
Kyosuke Nishida | NTT R&D Website
large language models, "tsuzumi". We aim to develop a question answering system capable of answering all
https://www.rd.ntt/e/organization/researcher/superior/s_033.html
NTT's LLM "tsuzumi": Capable of Comprehending Graphical Documents | NTT R&D Website
comprehension Large language models (LLMs) are being applied to fields such as healthcare, customer support, and
https://www.rd.ntt/e/research/JN202406_26653.html
P04_leaf_e.pdf
speaking abilities NTT version Large Language Models Copyright © 2023 Nippon Telegraph and Telephone
https://www.rd.ntt/forum/2023/doc/P04_leaf_e.pdf
Security for AI at NTT R&D | AI for Good Global Summit 2026 Exhibition | SocioTechnical-Hub | Social Informatics Laboratories
large language models (LLMs), to reduce privacy risks and enable the safe deployment of AI systems
https://www.rd.ntt/e/sil/media/0026.html
Speech Recognition for Computers | NTT Communication Science Laboratories | NTT R&D Website
highly accurate acoustic and language models, such as dMMI (*1)-based discriminative acoustic model
https://www.rd.ntt/e/cs/team_project/media/signal/research_media05.html
P02_leaf_e.pdf
“tsuzumi” for understanding graphic documents NTT version Large Language Models Copyright © 2023 Nippon
https://www.rd.ntt/forum/2023/doc/P02_leaf_e.pdf
P08_leaf_e.pdf
: Cybersecurity operation technology NTT version Large Language Models Copyright © 2023 Nippon Telegraph and
https://www.rd.ntt/forum/2023/doc/P08_leaf_e.pdf
NTT's LLM "tsuzumi" | NTT R&D Website
multimodal In November 2023, NTT announced tsuzumi, a large language model (LLM) based on NTT laboratories
https://www.rd.ntt/e/research/JN202406_26651.html
JParaCrawl|NTTコミュニケーション科学基礎研究所|NTT R&D Website
English-Japanese training set (v2.0, 10.0M sentences, deduped): Download NMT Models (based on v3.0
https://www.rd.ntt/cs/team_project/icl/lirg/jparacrawl/
P03_leaf_e.pdf
multimodal understanding NTT version Large Language Models Copyright © 2023 Nippon Telegraph and Telephone
https://www.rd.ntt/forum/2023/doc/P03_leaf_e.pdf
Language Acquisition / Social Cognition | NTT Communication Science Laboratories | NTT R&D Website
Language Acquisition / Social Cognition | NTT Communication Science Laboratories | NTT R&D Website
https://www.rd.ntt/e/cs/team_project/icl/cd/research_innovative09.html
NTT Communication Science Laboratories Open House 2019
order for AI to visually perceive the world around it and to use language to communicate, it needs a
https://www.rd.ntt/cs/event/openhouse/2019/exhibition20/index_en.html
P07_leaf_e.pdf
development NTT version Large Language Models Copyright © 2023 Nippon Telegraph and Telephone Corporation/ NTT
https://www.rd.ntt/forum/2023/doc/P07_leaf_e.pdf
NTT Communication Science Laboratories Open House 2013 How can we overcome language barriers? - Statistical machine translation from foreign languages to Japanese -
NTT Communication Science Laboratories Open House 2013 How can we overcome language barriers
https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media1/index_en.html
NTT Computer and Data Science Laboratories | NTT R&D Website
leverage AI more flexibly and creatively while addressing the weaknesses of large language models. Fellows
https://www.rd.ntt/e/cds/
AI for Quality Growth──NTTグループのAI研究・ビジネス | NTT R&D Website
します。 tsuzumi 2 LLM 生成AI tsuzumi: 国産大規模言語モデルの挑戦 膨大な計算リソースやセキュリティリスクといった課題を抱えるLLM(Large Language Models)に対し、NTT
https://www.rd.ntt/research/JN202606_39544.html
Meta-learning Achieves High Accuracy with a Small Amount of Training Data | NTT R&D Website
artificial intelligence meta-learning machine learning Large language models and generative artificial
https://www.rd.ntt/e/research/JN202404_25752.html
poster_en13.pdf
Related works Contact 13 How can we overcome language barriers? Abstract----- Statistical machine
https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media1/poster_en13.pdf
スライド 1
language processing, 𝑀 = the number of vocabulary is very large, and a lot of parameters are required if
https://www.rd.ntt/cs/event/openhouse/2019/download/04_a_en.pdf
P09_leaf_e.pdf
: Detecting phishing sites NTT version Large Language Models Copyright © 2023 Nippon Telegraph and Telephone
https://www.rd.ntt/forum/2023/doc/P09_leaf_e.pdf
ITEA | Exhibits | Tsukuba Forum 2026
language through integration with Large Language Models (LLMs). TOSYS CORPORATION NDS Co.,Ltd. C-CUBE
https://www.rd.ntt/e/as/tforum/companylist_itea.html
Multilingual Speech Recognition Platform - Dual Channel Speech Recognition System|NTT R&D Website
result text for the next speech recognition Judging the recent topics and selecting language models
https://www.rd.ntt/e/research/HI0002.html
NTT Human Informatics Laboratories: Researching and Developing Technologies That Nurture True Humanity | NTT R&D Website
research directly tied to the humanities. On the basis of these areas, we have set large language models
https://www.rd.ntt/e/research/JN202402_24970.html
Research Theme | NTT Digital Twin Computing Research Center | NTT R&D Website
ability model of perception knowledge, language ability, physical ability, etc.). By making models react
https://www.rd.ntt/e/dtc/introduction_research/
About Us | Service Innovation Laboratory Group | NTT R&D Website
Kanekiyo As one of the major technological advances in recent years, "large language models" (LLMs) have
https://www.rd.ntt/e/svlab/overview/
音声情報処理 | NTT R&D Website
EXPLORATION OF LANGUAGE DEPENDENCY FOR JAPANESE SELF-SUPERVISED SPEECH REPRESENTATION MODELS", In Proc
https://www.rd.ntt/hil/category/voice/
Speech information processing | NTT R&D Website
EXPLORATION OF LANGUAGE DEPENDENCY FOR JAPANESE SELF-SUPERVISED SPEECH REPRESENTATION MODELS", In Proc
https://www.rd.ntt/e/hil/category/voice/
スライド 1
AI to visually perceive the world around it and to use language to communicate, it needs a dictionary
https://www.rd.ntt/cs/event/openhouse/2019/download/20_c_en.pdf
Position under active recruitment: Research and development of technologies for forecasting the future of the global environment|Careers|NTT Space Environment and Energy Laboratories|NTT R&D Website
technology, aimed at the social implementation and operation of ocean sensing data. Focusing on large-scale
https://www.rd.ntt/e/se/recruitment/focus07.html
Next-Generation AI | NTT R&D Website
an “AI constellation” concept that we have been working on since last year. Currently, Large Language
https://www.rd.ntt/e/forum/2024/panel_discussion_1.html
P06_leaf_e.pdf
” with physical senses and a robot body NTT version Large Language Models Copyright © 2023 Nippon
https://www.rd.ntt/forum/2023/doc/P06_leaf_e.pdf
P05_leaf_e.pdf
understands user situations NTT version Large Language Models Copyright © 2023 Nippon Telegraph and Telephone
https://www.rd.ntt/forum/2023/doc/P05_leaf_e.pdf
NTT版LLM「tsuzumi」の研究開発、商用化動向 | NTT R&D Website
特集では、軽量でありながら世界トップレベルの日本語処理性能を持つNTT版大規模言語モデル(LLM:Large Language Models)「tsuzumi」の最新の研究開発、および商用化の動向
https://www.rd.ntt/research/JN202406_26649.html
IOWN∴Quantum Leap | NTT R&D Website
large-scale models We are developing what we call a large action model. A language model predicts the
https://www.rd.ntt/e/forum/2025/keynote_2.html
NTT Communication Science Laboratories Open House 2015 Program
Science Can you beat TOROBO-kun? - Evaluating the naturalness of sentences using language models - "Wanwan
https://www.rd.ntt/cs/event/openhouse/2015/program_en.html
Wataru Matsuda | NTT Social Informatics Laboratories | NTT R&D Website
Cybersecurity Information Using Large Language Models, Journal of Information Processing 33, 139-155 Authored
https://www.rd.ntt/e/sil/overview/evangelist/wataru_matsuda.html
西田 京介 | NTT R&D Website
, Kosuke Nishida, Ryota Tanaka "Recent Advances in Large Language Models and Vision-and-Language Models
https://www.rd.ntt/organization/researcher/superior/s_033.html
List of exhibits|NTT R&D FORUM 2023 — IOWN ACCELERATION Report
exhibits List of IOWN Pick Up exhibits Themes of exhibition Explanation of the theme Large Language Model
https://www.rd.ntt/e/forum/2023/exhibit.html
collaborative-ai.pdf
Vision-Language Understanding with Advanced Large Language Models. CoRR abs/2304.10592 (2023) 20. Junnan
https://www.rd.ntt/hil/2023/05/22/collaborative-ai.pdf