Výsledky vyhledávání - "Ghukasyan A."

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Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning

Autor: Radha, Santosh Kumar, Jelyani, Yasamin Nouri, Ghukasyan, Ara, Goktas, Oktay

Iterative human engagement is a common and effective means of leveraging the advanced language processing power of large language models (LLMs). Using well-structured prompts in a conversational manner, human users can effectively influence an LLM to

Externí odkaz: http://arxiv.org/abs/2409.12618

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Akademický článek

Organization of seed breeding activities for leguminous crops and introduction of new varieties in conditions of piedmont and mountainous zones of Armenia

Autor: Matevosyan L.G., Barbaryan A.A., Ghukasyan A.G., Ghazaryan R.G., Alikhanyan N.A., Shaboyan G.G.

Publikováno v: E3S Web of Conferences, Vol 420, p 01022 (2023)

The article presents the results of breeding new leguminous crop varieties at the Scientific Center of Agriculture of the Republic of Armenia and the study results related to their testing and introduction in the piedmont and mountainous zones of the

Externí odkaz: https://doaj.org/article/1cdb981ac7d64e19b5c5e259c60f95d6

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Quantum-Classical Multiple Kernel Learning

Autor: Ghukasyan, Ara, Baker, Jack S., Goktas, Oktay, Carrasquilla, Juan, Radha, Santosh Kumar

As quantum computers become increasingly practical, so does the prospect of using quantum computation to improve upon traditional algorithms. Kernel methods in machine learning is one area where such improvements could be realized in the near future.

Externí odkaz: http://arxiv.org/abs/2305.17707

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Parallel hybrid quantum-classical machine learning for kernelized time-series classification

Autor: Baker, Jack S., Park, Gilchan, Yu, Kwangmin, Ghukasyan, Ara, Goktas, Oktay, Radha, Santosh Kumar

Supervised time-series classification garners widespread interest because of its applicability throughout a broad application domain including finance, astronomy, biosensors, and many others. In this work, we tackle this problem with hybrid quantum-c

Externí odkaz: http://arxiv.org/abs/2305.05881

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A Simple and Effective Method of Cross-Lingual Plagiarism Detection

Autor: Avetisyan, Karen, Malajyan, Arthur, Ghukasyan, Tsolak, Avetisyan, Arutyun

We present a simple cross-lingual plagiarism detection method applicable to a large number of languages. The presented approach leverages open multilingual thesauri for candidate retrieval task and pre-trained multilingual BERT-based language models

Externí odkaz: http://arxiv.org/abs/2304.01352

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Deep Lake: a Lakehouse for Deep Learning

Autor: Hambardzumyan, Sasun, Tuli, Abhinav, Ghukasyan, Levon, Rahman, Fariz, Topchyan, Hrant, Isayan, David, McQuade, Mark, Harutyunyan, Mikayel, Hakobyan, Tatevik, Stranic, Ivo, Buniatyan, Davit

Traditional data lakes provide critical data infrastructure for analytical workloads by enabling time travel, running SQL queries, ingesting data with ACID transactions, and visualizing petabyte-scale datasets on cloud storage. They allow organizatio

Externí odkaz: http://arxiv.org/abs/2209.10785

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