GitHub

Replication Package: Does Model Size Matter? A Comparison of Small and Large Language Models for Requirements Classification

[Context and motivation] Large language models (LLMs) show promising results in natural language processing (NLP) tasks for requirements engineering (RE). However, their use is limited by high ...
IEEE

HZSCM: Hyperspectral Image Zero-Shot Classification via Vision-Language Models

Abstract: Most hyperspectral image (HSI) classification methods assume that all classes in the test set are present during training. However, in real-world applications, acquiring labeled training ...
IEEE

Hyperspectral Image Classification Based on Subgraph-Dependent Neural Network

Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...