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pro vyhledávání: '"Phaltankar, Abhishek"'
Large Language Models (LLMs) have demonstrated remarkable multilingual capabilities, yet challenges persist in adapting these models for low-resource languages. In this study, we investigate the effects of Low-Rank Adaptation (LoRA) Parameter-Efficie
Externí odkaz:
http://arxiv.org/abs/2411.18571
Autor:
Takawane, Gauri, Phaltankar, Abhishek, Patwardhan, Varad, Patil, Aryan, Joshi, Raviraj, Takalikar, Mukta S.
The usage of more than one language in the same text is referred to as Code Mixed. It is evident that there is a growing degree of adaption of the use of code-mixed data, especially English with a regional language, on social media platforms. Existin
Externí odkaz:
http://arxiv.org/abs/2306.04964
The term "Code Mixed" refers to the use of more than one language in the same text. This phenomenon is predominantly observed on social media platforms, with an increasing amount of adaptation as time goes on. It is critical to detect foreign element
Externí odkaz:
http://arxiv.org/abs/2305.15722
Autor:
Takawane, Gauri, Phaltankar, Abhishek, Patwardhan, Varad, Patil, Aryan, Joshi, Raviraj, Takalikar, Mukta S.
Publikováno v:
In Natural Language Processing Journal December 2023 5
