Less can be More: Towards a Parameter-Efficient Fine-Tuning of Wav2Vec2 XLSR for Low-Resource Cape Verdean Creole ASR

Full Fine-Tuning vs. Parameter-Efficient Adaptation for Low-Resource African ASR: A Controlled Study with Whisper-Small

Parameter-Efficient Tuning vs. Full Fine-Tuning in Cross-Lingual Dense Retrieval for Low-Resource Languages

Effective cross-lingual dense retrieval methods that rely on multilingual pre-trained language model

glorybagai/Domain-Shift-Aware-Parameter-Efficient-Fine-Tuning-for-Malaria-Detection-in-Low-Resource-Settings

# Domain-Shift-Aware-Parameter-Efficient-Fine-Tuning-for-Malaria-Detection-in-Low-Resource-Settings

IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning

With the increasing size of pre-trained language models (PLMs), fine-tuning all the parameters in th

Gradient-Based Importance Smoothing for Dynamic Rank Allocation in Parameter-Efficient Fine-Tuning for Low-Resource Languages

Abstract Large pre-trained language models (PLMs) achieve state-of-the-art perform

Scaling Pre-training Data Size and Domain-Specific Fine-Tuning in XLSR-53 for Low-Resource Perso-Arabic ASR

Although commercial Arabic automatic speech recognition (ASR) systems support Modern Standard Arabic