Result for "Large Language Models",179

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

AI Constellation ― a collaboration of diverse AIs | NTT R&D Website

, pp. 19–27, Apr. 2025.) NTT Group and NTT R&D About AI at NTT | NTT NTT's Large Language Models

https://www.rd.ntt/e/cds/ai-constellation/

Report on the NTT R&D FORUM｜NTT R&D FORUM 2023 — IOWN ACCELERATION

ACCELERATION," introduced some of the latest developments in IOWN, such as NTT's large-language model (LLM

https://www.rd.ntt/e/forum/2023/

松田 亘｜NTT社会情報研究所｜NTT R&D Website

Mitsunaga, K Watanabe, Efficient Curation of ICS Cybersecurity Information Using Large Language Models

https://www.rd.ntt/sil/overview/evangelist/wataru_matsuda.html

Media Information Laboratory Past news | NTT Communication Science Laboratories | NTT R&D Website

Language Models Improves End-to-End Speech Summarization” ・Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka

https://www.rd.ntt/e/cs/team_project/media/past_news.html

Media Information Laboratory | NTT Communication Science Laboratories | NTT R&D Website

, Atsunori Ogawa & Marc Delcroix (2023). Transfer Learning from Pre-trained Language Models Improves End-to

https://www.rd.ntt/e/cs/team_project/media/

NTT Communication Science Laboratories Open House 2016 Program

challenges in open domain natural language processing - Ryuichiro Higashinaka, Innovative Communication

https://www.rd.ntt/cs/event/openhouse/2016/program_en.html

自然言語処理 | NTT R&D Website

, Kyosuke Nishida, Sen Yoshida, "Task-adaptive Pre-training of Language Models with Word Embedding

https://www.rd.ntt/hil/category/language/

RECOMMENDED EXHIBITIONS | NTT R&D Website

'tsuzumi': NTT's large language models NTT Laboratories aims to equip the large-scale language model

https://www.rd.ntt/e/forum/2024/recommend.html

Long-term future-scenario-analysis technology | NTT Space Environment and Energy Laboratories | NTT R&D Website

analysis and prediction of future scenarios utilizing AI technologies such as large language models (LLMs

https://www.rd.ntt/e/se/technology/future_scenario.html

メディア情報研究部｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

, Atsunori Ogawa & Marc Delcroix (2023). Transfer Learning from Pre-trained Language Models Improves End-to

https://www.rd.ntt/cs/team_project/media/

Keynote Speech 3｜NTT R&D FORUM 2023 — IOWN ACCELERATION Report

-scale language models are in a competition for the number of parameters, becoming very large in scale

https://www.rd.ntt/e/forum/2023/keynote_3.html

New Developments in Communication Science Research in the Generative AI Era--Exploring the Nature of Humans and Information for Co-creating Human-centered Technologies with AI | NTT R&D Website

Generative Pretrained Transformer (GPT) is a large language model (LLM) that is the result of learning a

https://www.rd.ntt/e/research/JN202409_29257.html

NTT Laboratories | NTT R&D Website

advanced intelligence through Large Language Models, World Models that replicate and predict real-world

https://www.rd.ntt/e/organization/laboratory/

AIコンステレーション®実現に向けた研究開発 | NTT R&D Website

チエージェントシステム議論では、複数の大規模言語モデル（LLM：Large Language Models）を活用することで、多様な視点に基づく課題解決が期待されています。一方、単純に言語モデルを組み合わせるだけでは、発言

https://www.rd.ntt/research/JN202509_36100.html

Signal Processing Research Group | NTT Communication Science Laboratories | NTT R&D Website

, Atsunori Ogawa & Marc Delcroix (2023). Transfer Learning from Pre-trained Language Models Improves End-to

https://www.rd.ntt/e/cs/team_project/media/signal/

Unraveling the Old-yet-new Problem of Common Ground Using Cutting-edge Technology to Enable Computer-to-human Communication | NTT R&D Website

"Creating a Real-time Multimodal Dialogue System with Python and Large Language Models" (co-authored

https://www.rd.ntt/e/research/JN202507_34709.html

Keynote Speech 1｜NTT R&D FORUM 2023 — IOWN ACCELERATION Report

increases. AI will continue to grow and expand, but large language models like Chat GPT require as much as 1

https://www.rd.ntt/e/forum/2023/keynote_1.html

Memory-centric Architecture for Disaggregated Computers｜NTT R&D Website

a large memory pool is placed in the center of all processors. Memory-centric architecture, on the

https://www.rd.ntt/e/research/JN202105_13614.html

NTT R&D FORUM 2025 Event Report | NTT R&D Website

cutting-edge research projects and research results, including the large-scale language-based LLM "Tsuzumi

https://www.rd.ntt/e/forum/2025/

NTT Communication Science Laboratories Open House 2017 Program

discovery based on probabilistic latent variable models Tomoharu Iwata, Ueda Research Laboratory 6/2 (Fri

https://www.rd.ntt/cs/event/openhouse/2017/program_en.html

Language Technologies in a Multilingual World

Language Technologies in a Multilingual World Kevin Duh & 歐陽靖民 Supporting Communications in Global

https://www.rd.ntt/cs/event/openhouse/2011/talk/research1/openhouse-kevinalbert.pdf

IOWN INTEGRAL | NTT R&D Website

This article introduces the initiatives, practical examples, and future outlook of NTT’s Large Language

https://www.rd.ntt/e/forum/2024/keynote_2.html

メディア情報研究部　過去のニュース｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

, ” Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization” ・Takuhiro

https://www.rd.ntt/cs/team_project/media/past_news.html

LLMの安全な活用を支える - 統合セキュリティ技術 | AI for Good Global Summit 2026出展 | SocioTechnical-Hub | 社会情報研究所

Large Language Models via Self-Constructed Knowledge Triplets [4][2509.15631] Sparse-Autoencoder-Guided

https://www.rd.ntt/sil/media/0026.html

Challenges Facing Human Digital Twin Computing and Its Future Prospects | NTT R&D Website

tendency, personality, and values or an ability model that models perception, knowledge, language ability

https://www.rd.ntt/e/research/JN202007_5786.html

Initiatives toward Development of the Exploring Engine for the Future Society｜NTT R&D Website

twins of the real world in real time and simulations that are specific to individual models to visualize

https://www.rd.ntt/e/research/JN202201_16960.html

Studying Multimodal Interactions: Understanding Dialogue Mechanisms through Combined Observation of Speech, Language, and Body Movement｜NTT R&D Website

of Speech, Language, and Body Movement｜NTT R&D Website NTT R&D Website Research&Activity Studying

https://www.rd.ntt/e/research/RDNTT20210901.html

Efforts to Improve and Utilize Security Transparency in Software Supply Chains | NTT R&D Website

estimate packages using large language models (LLMs) to supplement missing packages. We believe that these

https://www.rd.ntt/e/research/JN202409_29278.html

tsuzumi: 国産大規模言語モデルの挑戦 | NTT R&D Website

（にしだ　きょうすけ） NTT人間情報研究所 目次 国産ソブリンAIの挑戦 近年、ChatGPTをはじめとするLLM（Large Language Models）への注目が高まる一方で、膨大な学習データと計算リソ

https://www.rd.ntt/research/JN202606_39540.html

NTT版大規模言語モデル「tsuzumi」 | NTT R&D Website

や申請書などのドキュメント生成。 解説図表 用語解説 大規模言語モデル（LLM） Large Language Models：大量のテキストデータを使って学習された言語モデルで、言語の理解や文章の生成

https://www.rd.ntt/research/HI0016.html

階層型行動理解技術 | NTT R&D Website

Language Models：LLMs） 多数のパラメータ（数千万から数十億）を持つニューラルネットワークで構成される言語モデルで、膨大なテキストデータを用いて学習される。 担当部署 ソフ

https://www.rd.ntt/research/SIC0058.html

It's not just about predicting the future, it's about guiding someone toward a future that is better for them.｜NTT R&D Website

automatically creating models with large amounts of data without any pre-requisite knowledge. I often compare

https://www.rd.ntt/e/research/RDNTT20210101.html

Carrier Cloud for Deep Learning to Enable Highly Efficient Inference Processing | NTT R&D Website

and his group at the 2012 ImageNet Large Scale Visual Recognition Challenge (ILSVRC). As a result

https://www.rd.ntt/e/research/JN20191114_h.html

Science and Technology Are the Collective Wisdom of Our Predecessors. It Is Our Mission-the Researchers of Today-to Make Them Even Better | NTT R&D Website

data . This approach is effective when a large amount of parallel data can be collected. In many

https://www.rd.ntt/e/research/JN202305_21819.html

ai_constellation_blueprint_en.pdf

and WIRED Japan. In response to the recent rise of large-scale language models (LLMs), there has been

https://www.rd.ntt/e/cds/ai-constellation/ai_constellation_blueprint_en.pdf

en_01

to digital twins of various real-world objects will lead to higher demands for large-scale

https://www.rd.ntt/e/dtc/DTC_Whitepaper_en_2_0_0.pdf

Solving social issues through the Industry AI Cloud powered by IOWN | NTT R&D Website

expanding its development infrastructure for Graphics Processing Units (GPUs) that power Large Language

https://www.rd.ntt/e/forum/2024/keynote_1.html

Creating Bio-digital Twins by Using Crossmodal Representation Learning | NTT R&D Website

(AI) based on large language models has been attracting attention. Generative AI also operates on the

https://www.rd.ntt/e/research/JN202407_27025.html

Position under active recruitment: Research on long-term future-scenario-analysis technology｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

machine learning Knowledge and application experience regarding large language models (LLMs) and

https://www.rd.ntt/e/se/recruitment/focus05.html

Interaction Research Group | NTT Communication Science Laboratories | NTT R&D Website

language models, in Proc. IWSDS, pp. 1-6, 2024. 2022 Journal Papers Hiroaki Sugiyama, Kenji Nakamura (2022

https://www.rd.ntt/e/cs/team_project/icl/ir/

The Day a System Becomes a Conversation Partner—Exploring New Horizons in Social Dialogue Systems with Large-scale Deep Learning｜NTT R&D Website

text data, has become important. General-purpose language models trained using this method can achieve

https://www.rd.ntt/e/research/JN202107_14467.html

「AIコンステレーション®」 ――人とAIが協調する世界をめざして | NTT R&D Website

コンステレーション®実現に向けた研究開発 「AIコンステレーション®」をはじめとするマルチエージェントシステム議論では、複数の大規模言語モデル（LLM：Large Language Models）を活用

https://www.rd.ntt/research/JN202509_36104.html

信号処理研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Learning from Pre-trained Language Models Improves End-to-End Speech Summarization. Proc. Interspeech

https://www.rd.ntt/cs/team_project/media/signal/

行動モデリング | NTT R&D Website

Propensity for Dementia-Related Stigma in Large Language Models." In Extended Abstracts of the 2026 CHI

https://www.rd.ntt/hil/category/behavior_modeling/

MediaGnosis Is a Multimodal Foundation Model That Can Think and Accumulate Knowledge Like a Human | NTT R&D Website

advance, and the spread of generative AI using large language models is making it more accessible. However

https://www.rd.ntt/e/research/JN202411_30171.html

Cutting-edge Algorithms to Overcome Combinatorial Explosion | NTT R&D Website

can also be utilized in the field of language, and even with large language models, a certain degree

https://www.rd.ntt/e/research/JN202501_31214.html

より良い未来を創るセキュリティR&D | NTT R&D Website

ル（LLM：Large Language Models）は、議事録作成や英語レポートの翻訳・要約などを自動化し、業務効率を大幅に向上させています。その一方で、LLMを活用したシステムには、従来のITセキ

https://www.rd.ntt/research/JN202509_36092.html

階層型行動理解技術 | NTT R&D Website

は複数の行動や物体情報を組み合わせた複合行動認識をさらに発展させ、マニュアル等の外部知識や大規模言語モデル（Large Language Models: LLMs）を活用して柔軟に様々な業界の行動説明

https://www.rd.ntt/iown_tech/post_43.html

Communication Traffic, Quality and Operation Research Project | Research and Development Projects | NTT Network Service Systems Laboratories | NTT R&D Website

. By applying rapidly developing and spreading large-scale language models to maintenance operator

https://www.rd.ntt/e/ns/theme/qos.html

Updates | NTT R&D Website

's Large Language Models 'tsuzumi' have been added 04/24/2024 Achieving Complete Wireless

https://www.rd.ntt/e/update_information/