3 papers
cs.CL2024
Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning
Omkar Khade, Shruti Jagdale, Abhishek Phaltankar +2
Large Language Models (LLMs) have demonstrated remarkable multilingual capabilities, yet challenges persist in adapting these models for low-resource languages. In this study, we i…
cs.CL2023★ 2 cited
Leveraging Language Identification to Enhance Code-Mixed Text Classification
Gauri Takawane, Abhishek Phaltankar, Varad Patwardhan +3
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, especiall…
cs.CL2023★ 21 cited
Comparative Study of Pre-Trained BERT Models for Code-Mixed Hindi-English Data
Aryan Patil, Varad Patwardhan, Abhishek Phaltankar +2
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 o…