Papers with hierarchical retrieval mechanism

2 papers
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation (2021.acl-long)

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Challenge: Existing methods for medical image analysis use predefined template databases or ignore hierarchical nature of medical report generation.
Approach: They propose a hierarchical retrieval mechanism to extract both report and sentence-level templates for clinically accurate report generation.
Outcome: The proposed model extracts both report and sentence-level templates for clinically accurate report generation.
TAGS: A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and Verification (2026.findings-acl)

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Challenge: Existing efforts to improve medical question answering performance follow two directions.
Approach: They propose a framework that combines a generalist with a domain-specific specialist without any model fine-tuning or parameter updates.
Outcome: The proposed framework boosts GPT-4o accuracy by 13.8%, deepseek-R1 by 16.8%, and improves a vanilla 7B model from 14.1% to 23.9%.

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