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

Journal Article Proceedings of the conference. Association for Computational Linguistics. Meeting · July 2025 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, ... Open Access Cite
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