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pro vyhledávání: '"Behnamghader A"'
Autor:
BehnamGhader, Parishad, Adlakha, Vaibhav, Mosbach, Marius, Bahdanau, Dzmitry, Chapados, Nicolas, Reddy, Siva
Large decoder-only language models (LLMs) are the state-of-the-art models on most of today's NLP tasks and benchmarks. Yet, the community is only slowly adopting these models for text embedding tasks, which require rich contextualized representations
Externí odkaz:
http://arxiv.org/abs/2404.05961
Retriever-augmented instruction-following models are attractive alternatives to fine-tuned approaches for information-seeking tasks such as question answering (QA). By simply prepending retrieved documents in its input along with an instruction, thes
Externí odkaz:
http://arxiv.org/abs/2307.16877
Publikováno v:
Materials Today Bio, Vol 28, Iss , Pp 101164- (2024)
Externí odkaz:
https://doaj.org/article/11236585e4ed41e1a28ff493679b5ca8
Publikováno v:
International Journal of Nanomedicine, Vol 2011, Iss default, Pp 2375-2384 (2011)
Azadeh Asefnejad1, Mohammad Taghi Khorasani2, Aliasghar Behnamghader3, Babak Farsadzadeh1, Shahin Bonakdar4 1Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran; 2Iran Polymers and Petrochemical In
Externí odkaz:
https://doaj.org/article/0effe3e9eb434dbc951f0599c1c1c3e3
Augmenting pretrained language models with retrievers has shown promise in effectively solving common NLP problems, such as language modeling and question answering. In this paper, we evaluate the strengths and weaknesses of popular retriever-augment
Externí odkaz:
http://arxiv.org/abs/2212.09146
Although large pre-trained language models have achieved great success in many NLP tasks, it has been shown that they reflect human biases from their pre-training corpora. This bias may lead to undesirable outcomes when these models are applied in re
Externí odkaz:
http://arxiv.org/abs/2211.14402
Publikováno v:
In Surfaces and Interfaces August 2024 51
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/d507fd82b9fb490b9ad7c0c05cb5f0cd
Autor:
Behzad Houshmand, Zeinab Rezaei Esfahroodi, Aliasghar Behnamghader, Sadegh Mohammadreza, Aytan Azizi, Kave Ramezani
Publikováno v:
Journal of Advanced Periodontology and Implant Dentistry, Vol 15, Iss 2, Pp 117-122 (2023)
Background. The success rate of dental implants diminishes over time; the lack of osseointegration and infection are the major causes of most implant failures. One of the effective methods to improve the surface properties is to irradiate ultraviolet
Externí odkaz:
https://doaj.org/article/94c542486bc346138eebc6c2faa76518
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