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Found 3 papers, 1 papers with code
LLaMandement: Large Language Models for Summarization of French Legislative Proposals
This report introduces LLaMandement, a state-of-the-art Large Language Model, fine-tuned by the French government and designed to enhance the efficiency and efficacy of processing parliamentary sessions (including the production of bench memoranda and documents required for interministerial meetings) by generating neutral summaries of legislative proposals.
Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge
Here, we present a DL model for aneurysm detection that overcomes the issue with ''weak'' labels: oversized annotations which are considerably faster to create.
An anatomically-informed 3D CNN for brain aneurysm classification with weak labels
We compare two strategies for negative patch sampling that have an increasing level of difficulty for the network and we show how this choice can strongly affect the results.
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