Result for "Large Language Models",180

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

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/

Abstracts of all papers, ICA2003

Linear ICA Models Revisited   (Prog)     Jan Eriksson, Visa Koivunen (Signal Processing Lab, Helsinki

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/abst.html

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

Learning and Intelligent Systems Research Group | NTT Communication Science Laboratories | NTT R&D Website

, Atsutoshi Kumagai, Yuuki Yamanaka, Tomoya Yamashita, "Positive-Unlabeled Diffusion Models for Preventing

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

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/

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

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/

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/

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/

メディア認識研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

. Yamada, and N. Ueda, "Nonparametric relational models with superrectangulation," in Proc. International

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

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/

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

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

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/

NTT R&D Forum 2019 Report｜NTT R&D Website

anywhere (focus-free). However, conventional light sources were too large to build into eyewear devices and

https://www.rd.ntt/e/forum/2019/

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

(2023). Understanding Desire to Touch Using Large-scale Twitter Data. NTT Technical Review, 21 (1), 30

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

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

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

N. Ueda, "Nonparametric relational models with superrectangulation," in Proc. International

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

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

AI活用によるネットワークキャリアのオペレーション高度化～自己進化型ZTOフレームワーク～ | NIC Tech Talks

を推進していきます。 さらには、昨今研究が盛んに行われている大規模言語モデル（LLM：Large Language Models）を活用した新たなNW-AIの組み込みも予定しています。 具体的には、過去

https://www.rd.ntt/ntc/article/0048.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

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/

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

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

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/

知能創発環境研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

, Atsutoshi Kumagai, Yuuki Yamanaka, Tomoya Yamashita, "Positive-Unlabeled Diffusion Models for Preventing

https://www.rd.ntt/cs/team_project/icl/ls/

実世界インタラクション研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

systems with incremental processing and large language models, in Proc. IWSDS, pp. 1-6, 2024. 2022 論文

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

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/

自然言語処理 | NTT R&D Website

Prefilling Improves Theory of Mind in Large Language Models", in Proceedings of Findings of the Association

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

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/

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/

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/

Wataru Matsuda | 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

BRL Seminars | Basic Research Laboratories | NTT R&D Website

Edges of Quantum Hall Systems in a Cosmology Language　-Hawking Radiation from de Sitter Horizon in Edge

https://www.rd.ntt/e/brl/overview/brl-seminar.html

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

-- including large language models (LLMs), natural language processing, and knowledge graph construction -- to

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

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

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/

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

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

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

The Future of Photonics-electronics Convergence Technologies and Super Computers | NTT R&D Website

practical problem is the waste due to large amounts of energy used in the wiring when generating optical

https://www.rd.ntt/e/forum/2024/panel_discussion_2.html

List of Exhibitions | NTT R&D Website

Development Generative AI δ01-01The evolution of 'tsuzumi': NTT's large language models NTT's LLM 'tsuzumi' is

https://www.rd.ntt/e/forum/2024/exhibit.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

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

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

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/

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

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

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