TARA: Task-Adaptive Rank Allocation for Efficient Large Language Model Fine-Tuning in Geo-Information Text Classification
Geo-information texts, including geospatial data-use regulations and Earth observation metadata, are central to data governance and compliance auditing in remote sensing ecosystems. Full fine-tuning of large pre-trained language models is often computationally impractical, while standard LoRA reduces cost but assigns a...