LLaMA 3.1 extracts visual rating scores from Dutch neuroradiology reports with 87-96% balanced accuracy but only 66-80% on numerical counts, with few-shot prompting raising the latter to 81-92%.
Nat Lang Process J 10:100124
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Parallel chunk processing with evidence-anchored consolidation reduces omission errors by 84%, boosts traceability by 130%, and cuts unsupported claims by 91% in LLM long-document analysis.
citing papers explorer
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Automatic Extraction of Structured Information from Brain MRI Reports Using an Open-Weight Large Language Model
LLaMA 3.1 extracts visual rating scores from Dutch neuroradiology reports with 87-96% balanced accuracy but only 66-80% on numerical counts, with few-shot prompting raising the latter to 81-92%.
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Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction
Parallel chunk processing with evidence-anchored consolidation reduces omission errors by 84%, boosts traceability by 130%, and cuts unsupported claims by 91% in LLM long-document analysis.