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benchmarking gap 1health AI 1large language models 1red teaming 1safety evaluation 1

From the 1 of 27 linked papers with an AI index.

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20242026
most citedAddressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming

2 citations · 2 across the 6 of their papers we have counts for

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cs.CL2026

Weighting What Matters: Boosting Sample Efficiency in Medical Report Generation via Token Reweighting

Alexander Weers, Daniel Rueckert, Martin J. Menten

Training vision-language models (VLMs) for medical report generation is often hindered by the scarcity of high-quality annotated data. This work evaluates the use of a weighted los…

cs.CL2024

Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings

Andrea Posada, Daniel Rueckert, Felix Meissen +1

Since the Transformer architecture emerged, language model development has grown, driven by their promising potential. Releasing these models into production requires properly unde…