Abstract Low-Rank Adaptation (LoRA), which updates the dense neural network layers with
pluggable low-rank matrices, is one of the best performed parameter efficient fine-tuning …

Large Language Models (LLMs) demonstrate remarkable emergent abilities across various
tasks, yet fall short of complex reasoning and planning tasks. The tree-search-based …

The use of foundation models in climate science has recently gained significant attention.
However, a critical issue remains: the lack of a comprehensive evaluation framework …

Code smells are suboptimal coding practices that negatively impact the quality of software
systems. Existing detection methods, relying on heuristics or Machine Learning (ML) and …

Foundational vision transformer models have shown impressive few shot performance on
many vision tasks. This research presents a novel investigation into the application of …