@ddvd233
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Student @MIT Media Lab | Multimodal LLMs | MS in Computer Science @Stanford, RA at @StanfordSVL supervised by @drfeifei | 艾默里归宅部荣誉部员｜日本語本当下手
Palo Alto, CA
Joined October 2015
DnD!.
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Google and Tsinghua have the most papers lol.
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RT @pliang279: I am very excited about David's @ddvd233 line of work in developing generalist multimodal clinical foundation models. CLIMB….
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RT @SonglinYang4: Flash Linear Attention ( will no longer maintain support for the RWKV series (existing code will….
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最耗键盘的游戏）.
吸血鬼幸存者的开发者开发了一个你不需要精确按键而是需要猛！烈！砸！击！键！盘！就能出招的roguelite游戏.简单试了半个小时我啊啊啊啊啊啊啊啊啊啊哈哈哈哈啊啊啊啊啊啊啊啊哈哈哈啊啊啊啊啊啊啊啊啊
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🚀 QoQ-Med is now live on @huggingface!.Load it in seconds with ddvd233/QoQ-Med-VL-7B in your favorite 🤗 Transformers pipeline. No code? No problem: fire up LM Studio (or any llama.cpp GUI), search “QoQ”, and start chatting. Weights + docs →
Thanks @iScienceLuvr for posting about our recent work! . We're excited to introduce QoQ-Med, a multimodal medical foundation model that jointly reasons across medical images, videos, time series (ECG), and clinical texts. Beyond the model itself, we developed a novel training
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Thanks @iScienceLuvr for posting about our recent work! . We're excited to introduce QoQ-Med, a multimodal medical foundation model that jointly reasons across medical images, videos, time series (ECG), and clinical texts. Beyond the model itself, we developed a novel training
QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training. "we introduce QoQ-Med-7B/32B, the first open generalist clinical foundation model that jointly reasons across medical images, time-series signals, and text reports. QoQ-Med is trained with
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RT @iScienceLuvr: QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training. "we introduce QoQ-Med-7B/32B, th….
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RT @jas_x_flowers: Well. a new chapter is starting! I'm over the moon to be joining @MITEECS / @MIT_CSAIL as an Assistant Professor, star….
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但其实阵亡将士节的时候也会有人说不该说 Happy Memorial Day.（当然大部分人也不会在意）
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RT @yuyinzhou_cs: Can MLLMs truly understand the full context from multiple medical images to answer complex clinical questions? 🤔. ✨ Intro….
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