Result for "Large Language Models",180

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｜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 | NTT Communication Science Laboratories | NTT R&D Website

& Shoko Araki (2022). Lattice Rescoring Based on Large Ensemble of Complementary Neural Language Models

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

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

Diffusion/Flow-Matching Models” has been accepted to IEEE Transactions on Audio, Speech and Language

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

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

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

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

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

Based on Large Ensemble of Complementary Neural Language Models. ICASSP 2022 - 2022 IEEE International

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

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/

Message from Shingo Kinoshita, Senior Vice President, Head of R&D Planning Department, NTT Corporation｜NTT R&D Website

processing, NTT commercialized NTT's Large Language Models, 'tsuzumi', in 2024 and launched tsuzumi 2, its

https://www.rd.ntt/e/about/message.html

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

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

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に優れた能力をもつもの。 アダプタチューニング 事前学習済みモデルの外部に追加されるサブモジュール。ファ

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

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

Conversion with Latent Diffusion/Flow-Matching Models」がIEEE Transactions on Acoustics, Speech and Language

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

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

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/

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

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

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/

Thought-processing Technology for Understanding, Reproducing, and Extending Human Thinking Ability｜NTT R&D Website

text written in natural language (i.e., the language used in our daily lives) and understands its

https://www.rd.ntt/e/research/JN202110_15620.html