Jiang Shu

IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences

Transformer-based models have achieved state-of-the-art performance in document classification but struggle with long-text processing due to the quadratic computational complexity in the self-attention module. Existing solutions, such as sparse attention, hierarchical models, and key sentence extrac…