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pro vyhledávání: '"Raghuram A"'
Autor:
Purohit, Kiran, V, Venktesh, Devalla, Raghuram, Yerragorla, Krishna Mohan, Bhattacharya, Sourangshu, Anand, Avishek
Answering reasoning-based complex questions over text and hybrid sources, including tables, is a challenging task. Recent advances in large language models (LLMs) have enabled in-context learning (ICL), allowing LLMs to acquire proficiency in a speci
Externí odkaz:
http://arxiv.org/abs/2411.03877
Our work aims to build a model that performs dual tasks of image captioning and image generation while being trained on only one task. The central idea is to train an invertible model that learns a one-to-one mapping between the image and text embedd
Externí odkaz:
http://arxiv.org/abs/2410.20171
Users can divulge sensitive information to proprietary LLM providers, raising significant privacy concerns. While open-source models, hosted locally on the user's machine, alleviate some concerns, models that users can host locally are often less cap
Externí odkaz:
http://arxiv.org/abs/2410.17127
Autor:
Li, Yilong, Liu, Jingyu, Zhang, Hao, Narayanan, M Badri, Sharma, Utkarsh, Zhang, Shuai, Hu, Pan, Zeng, Yijing, Raghuram, Jayaram, Banerjee, Suman
Deploying large language models (LLMs) locally on mobile devices is advantageous in scenarios where transmitting data to remote cloud servers is either undesirable due to privacy concerns or impractical due to network connection. Recent advancements
Externí odkaz:
http://arxiv.org/abs/2410.05315
Autor:
Sathya N. Dornala, Raghuram Ayyagari
Publikováno v:
Journal of Ayurveda and Integrative Medicine, Vol 13, Iss 2, Pp 100426- (2022)
Morbidity and mortality statistical trends of COVID-19 pandemic reveal that, “The coronavirus may be with us for a long time, and we have to learn to live with it rather than hope to vanquish its threat”. Considering these trends, it is imperativ
Externí odkaz:
https://doaj.org/article/66c07b41a46944939d571b1cfcdebce2
Autor:
Darshan, Nasit, Raghuram, A.
The main result of this article proves the nonvanishing of cuspidal cohomology for $GL(n)$ over a number field which is Galois over its maximal totally real subfield. The proof uses the internal structure of a strongly-pure weight that can possibly s
Externí odkaz:
http://arxiv.org/abs/2407.10859
Autor:
Maddox, Benjamin P., Mortlock, Jonathan M., Hepworth, Tom R., Raghuram, Adarsh P., Gregory, Philip D., Guttridge, Alexander, Cornish, Simon L.
Many experimental platforms for quantum science depend on state control via laser fields. Frequently, however, the control fidelity is limited by optical phase noise. This is exacerbated in stabilized laser systems where high-frequency phase noise is
Externí odkaz:
http://arxiv.org/abs/2407.09119
Backdoor data poisoning, inserted within instruction examples used to fine-tune a foundation Large Language Model (LLM) for downstream tasks (\textit{e.g.,} sentiment prediction), is a serious security concern due to the evasive nature of such attack
Externí odkaz:
http://arxiv.org/abs/2406.07778
Autor:
Manu Raj, Abish Sudhakar, Suma Balan, Arun Tiwari, Abdul Rauf, Mahesh Kappanayil, Sajith Kesavan, Suchitra Sivadas, Anil Kumar Vasudevan, Pranav Chickermane, Ajay Vijayan, Shaji Thomas John, Sasidharan CK, Raghuram A Krishnan
Publikováno v:
BMJ Paediatrics Open, Vol 5, Iss 1 (2021)
Objectives To study (1) epidemiological factors, clinical profile and outcomes of COVID-19 related multisystem inflammatory syndrome in children (MIS-C), (2) clinical profile across age groups, (3) medium-term outcomes and (4) parameters associated w
Externí odkaz:
https://doaj.org/article/133cf397ddf2428cbef309caea6b0362
Publikováno v:
Journal of Ophthalmic & Vision Research, Vol 14, Pp 1-5 (2019)
Purpose: Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a rare, life-threatening multi-system adverse drug reaction characterized by febrile skin rash, hematologic abnormalities, and involvement of internal organs. We repor
Externí odkaz:
https://doaj.org/article/91044947c0294c4b98abc75c276b713f