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QSGT: Quantum-Inspired Sparse Gated Transformer for Faithful Multi-modal Radiology Report Summarization

The paper introduces QSGT, a quantum-inspired hybrid model combining token pruning and mixture of experts with clinical regularization terms to significantly improve the entity-level faithfulness and clinical accuracy of multi-modal radiology report summarization, outperforming state-of-the-art methods on the MIMIC-CXR dataset.

Original authors: Somenath Nag Choudhury, Anup Kumar Kolya, Amit Kumar Verma, Asif Ekbal, Samarjit Kar

Published 2026-10-23
📖 1 min read☕ Coffee break read

Original authors: Somenath Nag Choudhury, Anup Kumar Kolya, Amit Kumar Verma, Asif Ekbal, Samarjit Kar

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

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