Result for "Large Language Models",178

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

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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

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/

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/

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 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

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/

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/

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

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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

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/

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/

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/

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

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/

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/

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/

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/