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Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning

Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning

Omkar Khade
Shruti Jagdale
Abhishek Phaltankar
Gauri Takalikar
Raviraj Joshi
ArXiv (abs)PDFHTML

Papers citing "Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning"

5 / 5 papers shown
Title
Typhoon T1: An Open Thai Reasoning Model
Typhoon T1: An Open Thai Reasoning Model
Pittawat Taveekitworachai
Potsawee Manakul
Kasima Tharnpipitchai
Kunat Pipatanakul
OffRLLRM
223
0
0
13 Feb 2025
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
248
398
0
21 Mar 2024
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
502
10,526
0
17 Jun 2021
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
Y. Tang
C. Tran
Xian Li
Peng-Jen Chen
Naman Goyal
Vishrav Chaudhary
Jiatao Gu
Angela Fan
CLL
134
462
0
02 Aug 2020
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
Julian Martin Eisenschlos
Sebastian Ruder
Piotr Czapla
Marcin Kardas
Sylvain Gugger
Jeremy Howard
51
99
0
10 Sep 2019

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