首个面向图像医疗对话的多模态大模型基准，填补医学影像与临床问答评估空白。
arXiv:2606.28556v1 Announce Type: new Abstract: Recent advances in large language models and vision-language models have enabled reasoning over multim…
用评分标准做增量训练，让大模型在开放式医疗对话中也能高效对齐，突破传统RL局限。
arXiv:2510.15859v4 Announce Type: replace-cross Abstract: Reinforcement learning (RL) has driven recent breakthroughs in large language models (LLMs),…
多轮LLM迭代优化，法语医疗对话转录准确率与说话人归属大幅提升，突破30%词错误率瓶颈
arXiv:2603.00086v2 Announce Type: replace Abstract: Automatic speech recognition for French medical conversations remains challenging, with word error…
医学对话系统如何理解数轮前的病史？这篇被AAMAS 2026录用的论文提出合成与评估长程历史感知对话的新方法。
arXiv:2605.19766v1 Announce Type: new Abstract: An effective healthcare agent must be able to recall and reason over a patient's longitudinal medical …