IMCBench is a new benchmark for image-grounded multi-turn medical conversations that evaluates eight multimodal LLMs on safety, accuracy, and uncertainty, finding Claude Opus highest overall but safety drops for malignant and rare conditions.
arXiv preprint arXiv:2405.19567 , year=
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TIF-GRPO uses integral feedback on pseudo-temporal trajectories to regulate anatomy-aware rewards in RL for clinical faithfulness in volumetric CT analysis.
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IMCBench: A benchmark for multimodal LLMs in Image-grounded Medical Conversations
IMCBench is a new benchmark for image-grounded multi-turn medical conversations that evaluates eight multimodal LLMs on safety, accuracy, and uncertainty, finding Claude Opus highest overall but safety drops for malignant and rare conditions.
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Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis
TIF-GRPO uses integral feedback on pseudo-temporal trajectories to regulate anatomy-aware rewards in RL for clinical faithfulness in volumetric CT analysis.