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pro vyhledávání: '"SUBBA, REDDY"'
Transformer-based models have revolutionized the field of natural language processing. To understand why they perform so well and to assess their reliability, several studies have focused on questions such as: Which linguistic properties are encoded
Externí odkaz:
http://arxiv.org/abs/2410.02611
Identifying user's opinions and stances in long conversation threads on various topics can be extremely critical for enhanced personalization, market research, political campaigns, customer service, conflict resolution, targeted advertising, and cont
Externí odkaz:
http://arxiv.org/abs/2406.16833
Despite known differences between reading and listening in the brain, recent work has shown that text-based language models predict both text-evoked and speech-evoked brain activity to an impressive degree. This poses the question of what types of in
Externí odkaz:
http://arxiv.org/abs/2311.04664
Autor:
Oota, Subba Reddy, Chen, Zijiao, Gupta, Manish, Bapi, Raju S., Jobard, Gael, Alexandre, Frederic, Hinaut, Xavier
Can we obtain insights about the brain using AI models? How is the information in deep learning models related to brain recordings? Can we improve AI models with the help of brain recordings? Such questions can be tackled by studying brain recordings
Externí odkaz:
http://arxiv.org/abs/2307.10246
Autor:
Neerudu, Pavan Kalyan Reddy, Oota, Subba Reddy, Marreddy, Mounika, Kagita, Venkateswara Rao, Gupta, Manish
Transformer-based pretrained models like BERT, GPT-2 and T5 have been finetuned for a large number of natural language processing (NLP) tasks, and have been shown to be very effective. However, while finetuning, what changes across layers in these mo
Externí odkaz:
http://arxiv.org/abs/2305.14453
Syntactic parsing is the task of assigning a syntactic structure to a sentence. There are two popular syntactic parsing methods: constituency and dependency parsing. Recent works have used syntactic embeddings based on constituency trees, incremental
Externí odkaz:
http://arxiv.org/abs/2302.08589
Publikováno v:
Tetrahedron Chem, Vol 12, Iss , Pp 100104- (2024)
A novel palladium(II) catalyzed C–H annulation strategy has been developed for the synthesis of a diverse range of furo[3′,4':5,6]pyrido[3,4-b]indole-1,5(3H)-dione scaffolds. This is the first report on the construction of polycyclic carboline fr
Externí odkaz:
https://doaj.org/article/3744da7bc451470ab26957fd9a458fc6
Autor:
Garba Goswami, Nirmal K. Manna, Dipak Kumar Mandal, Rama Subba Reddy Gorla, Nirmalendu Biswas
Publikováno v:
International Journal of Thermofluids, Vol 24, Iss , Pp 100949- (2024)
This study investigates heat transfer efficiency and irreversibility generation in multi-sided porous thermal systems filled with a Cu-Al2O3-water hybrid nanofluid. The research examines convective heat transfer across various polygonal geometries, r
Externí odkaz:
https://doaj.org/article/98d6624512f34175af1164d0da4d7c00
Document summarization aims to create a precise and coherent summary of a text document. Many deep learning summarization models are developed mainly for English, often requiring a large training corpus and efficient pre-trained language models and t
Externí odkaz:
http://arxiv.org/abs/2212.12937
Language models have been shown to be very effective in predicting brain recordings of subjects experiencing complex language stimuli. For a deeper understanding of this alignment, it is important to understand the correspondence between the detailed
Externí odkaz:
http://arxiv.org/abs/2212.08094