Zobrazeno 1 - 10
of 282
pro vyhledávání: '"P A Belyĭ"'
Autor:
Qian, Kun, Sang, Yisi, Bayat, Farima Fatahi, Belyi, Anton, Chu, Xianqi, Govind, Yash, Khorshidi, Samira, Khot, Rahul, Luna, Katherine, Nikfarjam, Azadeh, Qi, Xiaoguang, Wu, Fei, Zhang, Xianhan, Li, Yunyao
Prompt engineering is an iterative procedure often requiring extensive manual effort to formulate suitable instructions for effectively directing large language models (LLMs) in specific tasks. Incorporating few-shot examples is a vital and effective
Externí odkaz:
http://arxiv.org/abs/2408.04637
Retrieval-Augmented Generation (RAG) has become a standard architectural pattern for incorporating domain-specific knowledge into user-facing chat applications powered by Large Language Models (LLMs). RAG systems are characterized by (1) a document r
Externí odkaz:
http://arxiv.org/abs/2407.11005
Autor:
McKinzie, Brandon, Gan, Zhe, Fauconnier, Jean-Philippe, Dodge, Sam, Zhang, Bowen, Dufter, Philipp, Shah, Dhruti, Du, Xianzhi, Peng, Futang, Weers, Floris, Belyi, Anton, Zhang, Haotian, Singh, Karanjeet, Kang, Doug, Jain, Ankur, Hè, Hongyu, Schwarzer, Max, Gunter, Tom, Kong, Xiang, Zhang, Aonan, Wang, Jianyu, Wang, Chong, Du, Nan, Lei, Tao, Wiseman, Sam, Yin, Guoli, Lee, Mark, Wang, Zirui, Pang, Ruoming, Grasch, Peter, Toshev, Alexander, Yang, Yinfei
In this work, we discuss building performant Multimodal Large Language Models (MLLMs). In particular, we study the importance of various architecture components and data choices. Through careful and comprehensive ablations of the image encoder, the v
Externí odkaz:
http://arxiv.org/abs/2403.09611
Autor:
Qian, Kun, Belyi, Anton, Wu, Fei, Khorshidi, Samira, Nikfarjam, Azadeh, Khot, Rahul, Sang, Yisi, Luna, Katherine, Chu, Xianqi, Choi, Eric, Govind, Yash, Seivwright, Chloe, Sun, Yiwen, Fakhry, Ahmed, Rekatsinas, Theo, Ilyas, Ihab, Qi, Xiaoguang, Li, Yunyao
The quality of a knowledge graph directly impacts the quality of downstream applications (e.g. the number of answerable questions using the graph). One ongoing challenge when building a knowledge graph is to ensure completeness and freshness of the g
Externí odkaz:
http://arxiv.org/abs/2312.09424
Autor:
Bayat, Farima Fatahi, Qian, Kun, Han, Benjamin, Sang, Yisi, Belyi, Anton, Khorshidi, Samira, Wu, Fei, Ilyas, Ihab F., Li, Yunyao
Detecting factual errors in textual information, whether generated by large language models (LLM) or curated by humans, is crucial for making informed decisions. LLMs' inability to attribute their claims to external knowledge and their tendency to ha
Externí odkaz:
http://arxiv.org/abs/2310.17119
Publikováno v:
Терапевтический архив, Vol 86, Iss 10, Pp 77-81 (2014)
The incidence of chronic viral hepatitides (CVH) has increased 2.2-fold in the Russian Federation over the past decade. This increase is mainly determined by an almost threefold rise in the incidence of chronic hepatitis C (CHC): from 12.9 in 1999 to
Externí odkaz:
https://doaj.org/article/a908ff40e99d458aa5827dd28a564765
Autor:
N D Iushchuk, O O Znoĭko, N A Iakushechkina, S K Zyrianov, S A Shut'ko, P A Belyĭ, A N Kozina, S A Chapurin, Iu Iu Churilin, E A Lugovskikh
Publikováno v:
Терапевтический архив, Vol 85, Iss 12, Pp 79-85 (2013)
AIM: To evaluate the impact of using the innovative antiviral drugs in patients with chronic hepatitis C (CHC) on the disease burden in the long term. Materials and methods. A program was developed to increase the availability of innovative antiviral
Externí odkaz:
https://doaj.org/article/e39ba430426e48ccabd1c939d02b9d88
Autor:
N D Iushchuk, O O Znoĭko, I P Balmasova, N V Fedoseeva, E V Shmeleva, K R Dudina, E A Klimova, T V Petrova, D Iu Trofimov, P A Belyĭ, N Kh Safiullina, E V Pypkina
Publikováno v:
Терапевтический архив, Vol 84, Iss 11, Pp 11-17 (2012)
Aim. To determine the correlation between interleukin 28B (IL28B) gene polymorphism in patients with chronic hepatitis C (CHC), the presence or absence a rapid virologic response to antiviral therapy, and a number of immunological characteristics as
Externí odkaz:
https://doaj.org/article/653a5ea1b04941b889cca3faad59438e
Akademický článek
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Community detection is one of the pivotal tools for discovering the structure of complex networks. Majority of community detection methods rely on optimization of certain quality functions characterizing the proposed community structure. Perhaps, the
Externí odkaz:
http://arxiv.org/abs/1712.05110