Zobrazeno 1 - 10
of 2 599
pro vyhledávání: '"Sitaram P"'
Publikováno v:
Exploratory Animal and Medical Research, Vol 13, Iss Ethnomedicine Special, Pp 71-77 (2023)
The present paper deals with the traditional uses of 20 medicinal plant species by some ethnic populace of the Angul district of Odisha. This ethnomedicinal study shows that the leaf, root, and fruit are the top three plant parts used. Vanda tessel
Externí odkaz:
https://doaj.org/article/47bc4d93d5e6429bae033a355dd2f4e5
Autor:
Sitaram Prasad
Publikováno v:
Indian Journal of Plastic Surgery, Vol 56, Iss 03, Pp 197-200 (2023)
Externí odkaz:
https://doaj.org/article/e5c0590d712d4e7287e8dc7a95a0f6b5
Autor:
Hsu, Aliyah R., Zhu, James, Wang, Zhichao, Bi, Bin, Mehrotra, Shubham, Pentyala, Shiva K., Tan, Katherine, Mao, Xiang-Bo, Omrani, Roshanak, Chaudhuri, Sougata, Radhakrishnan, Regunathan, Asur, Sitaram, Cheng, Claire Na, Yu, Bin
LLMs have demonstrated impressive proficiency in generating coherent and high-quality text, making them valuable across a range of text-generation tasks. However, rigorous evaluation of this generated content is crucial, as ensuring its quality remai
Externí odkaz:
http://arxiv.org/abs/2411.02448
Benchmark contamination refers to the presence of test datasets in Large Language Model (LLM) pre-training or post-training data. Contamination can lead to inflated scores on benchmarks, compromising evaluation results and making it difficult to dete
Externí odkaz:
http://arxiv.org/abs/2410.16186
Large Language Models (LLMs) demonstrate exceptional capabilities in a multitude of NLP tasks. However, the efficacy of such models to languages other than English is often limited. Prior works have shown that encoder-only models such as BERT or XLM-
Externí odkaz:
http://arxiv.org/abs/2410.16168
A common challenge towards the adaptability of Large Language Models (LLMs) is their ability to learn new languages over time without hampering the model's performance on languages in which the model is already proficient (usually English). Continual
Externí odkaz:
http://arxiv.org/abs/2410.16006
Assessing the capabilities and limitations of large language models (LLMs) has garnered significant interest, yet the evaluation of multiple models in real-world scenarios remains rare. Multilingual evaluation often relies on translated benchmarks, w
Externí odkaz:
http://arxiv.org/abs/2410.13671
Information in speech can be divided into two categories: what is being said (content) and how it is expressed (other). Current state-of-the-art (SOTA) techniques model speech at fixed segments, usually 10-25 ms, using a single embedding. Given the o
Externí odkaz:
http://arxiv.org/abs/2410.11086
Autor:
Manjula V Ramsali, Koshy G Puduchira, Sitaram P Maganti, Sarada Devi Vankaylapatti, Surender Pasupuleti, Dilipkumar Kulkarni
Publikováno v:
Journal of Anaesthesiology Clinical Pharmacology, Vol 37, Iss 1, Pp 119-123 (2021)
Background and Aims: Steven-Johnson Syndrome (SJS) is a rare and severe form of erythema exudative multiforme. Multisystem involvement in SJS and the suspicion of precipitation of the disease with exposure to anesthetic drugs makes anesthesia a chall
Externí odkaz:
https://doaj.org/article/1dd62b9547ba4485af45cd534e87570f
Autor:
Dubey, Swadheen, Kazakov, Georgy A., Heizenreder, Benedikt, Zhou, Sheng, Bennetts, Shayne, Schäffer, Stefan Alaric, Sitaram, Ananya, Schreck, Florian
Continuous superradiance using a narrow optical transition has the potential to improve the short-term stability of state-of-the-art optical clocks. Even though pulsed superradiant emission on a mHz linewidth clock transition has been shown, true con
Externí odkaz:
http://arxiv.org/abs/2409.06575