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pro vyhledávání: '"Veeramani P"'
In the evolving landscape of Environmental, Social, and Corporate Governance (ESG) impact assessment, the ML-ESG-2 shared task proposes identifying ESG impact types. To address this challenge, we present a comprehensive system leveraging ensemble lea
Externí odkaz:
http://arxiv.org/abs/2402.10772
Autor:
Ding, Yifan, Poudel, Amrit, Zeng, Qingkai, Weninger, Tim, Veeramani, Balaji, Bhattacharya, Sanmitra
The ability of Large Language Models (LLMs) to generate factually correct output remains relatively unexplored due to the lack of fact-checking and knowledge grounding during training and inference. In this work, we aim to address this challenge thro
Externí odkaz:
http://arxiv.org/abs/2402.06738
Natural language understanding (NLU) using neural network pipelines often requires additional context that is not solely present in the input data. Through Prior research, it has been evident that NLU benchmarks are susceptible to manipulation by neu
Externí odkaz:
http://arxiv.org/abs/2312.09932
This paper describes our system for addressing SMM4H 2023 Shared Task 2 on "Classification of sentiment associated with therapies (aspect-oriented)". In our work, we adopt an approach based on Natural language inference (NLI) to formulate this task a
Externí odkaz:
http://arxiv.org/abs/2312.03737
Autor:
Abburi, Harika, Roy, Kalyani, Suesserman, Michael, Pudota, Nirmala, Veeramani, Balaji, Bowen, Edward, Bhattacharya, Sanmitra
Recent Large Language Models (LLMs) have demonstrated remarkable capabilities in generating text that closely resembles human writing across wide range of styles and genres. However, such capabilities are prone to potential abuse, such as fake news g
Externí odkaz:
http://arxiv.org/abs/2311.03084
Autor:
Dipti Baskar, Seena Vengalil, Kiran Polavarapu, Veeramani Preethish-Kumar, Gautham Arunachal, Ramya Sukrutha, Mainak Bardhan, Akshata Huddar, Gopikrishnan Unnikrishnan, Girish Baburao Kulkarni, Yasha T. Chickabasaviah, Rashmi Santhosh Kumar, Atchayaram Nalini, Saraswati Nashi
Publikováno v:
Global Medical Genetics, Vol 11, Iss 04, Pp 297-303 (2024)
Introduction ORAI-1 is a plasma membrane calcium release-activated calcium channel that plays a crucial role in the excitation–contraction of skeletal muscles. Loss-of-function mutations of ORAI-1 cause severe combined immunodeficiency, nonprogress
Externí odkaz:
https://doaj.org/article/cf549a7ea159480b91bed6d9fa940577
Autor:
Manu Santhappan Girija, Deepak Menon, Kiran Polavarapu, Veeramani Preethish-Kumar, Seena Vengalil, Saraswati Nashi, Madassu Keertipriya, Mainak Bardhan, Priya Treesa Thomas, Valasani Ravi Kiran, Vikas Nishadham, Arun Sadasivan, Akshata Huddar, Gopi Krishnan Unnikrishnan, Ashita Barthur, Atchayaram Nalini
Publikováno v:
Annals of Indian Academy of Neurology, Vol 27, Iss 5, Pp 552-557 (2024)
Background and Objectives: Cardiovascular magnetic resonance imaging (CMRI) is the noninvasive technique of choice for early detection of cardiac involvement in Duchenne and Becker muscular dystrophy (DMD and BMD, respectively), but is seldom used in
Externí odkaz:
https://doaj.org/article/38c2098435744099ac7e752bf86f779b
Autor:
Abburi, Harika, Chaudhary, Tanya, Ilyas, Haider, Manne, Lakshmi, Mittal, Deepak, Williams, Don, Snaidauf, Derek, Bowen, Edward, Veeramani, Balaji
Rolling bearing fault diagnosis has garnered increased attention in recent years owing to its presence in rotating machinery across various industries, and an ever increasing demand for efficient operations. Prompt detection and accurate prediction o
Externí odkaz:
http://arxiv.org/abs/2309.17001
Autor:
Abburi, Harika, Suesserman, Michael, Pudota, Nirmala, Veeramani, Balaji, Bowen, Edward, Bhattacharya, Sanmitra
Large Language Models (LLMs) have shown impressive performance across a variety of Artificial Intelligence (AI) and natural language processing tasks, such as content creation, report generation, etc. However, unregulated malign application of these
Externí odkaz:
http://arxiv.org/abs/2309.07755
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