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20242026
most citedImproving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs

1 citations · 5 across the 8 of their papers we have counts for

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cs.CL2025★ 1 cited

Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations

Johannes Moll, Markus Graf, Tristan Lemke +7

Vision-language models (VLMs) often produce chain-of-thought (CoT) explanations that sound plausible yet fail to reflect the underlying decision process, undermining trust in high-…

cs.CL2025★ 1 cited

Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs

Juraj Vladika, Annika Domres, Mai Nguyen +10

Large language models (LLMs) exhibit extensive medical knowledge but are prone to hallucinations and inaccurate citations, which pose a challenge to their clinical adoption and reg…