Xiaoke Huang @xiaoke_shawn_h
CS PhD student @ucsc, @BaskinEng. Prev @Tsinghua_Uni, @MSFTResearch, @BNU_1902. xk-huang.github.io Joined February 2018-
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Open baselines matter! MedVLThinker delivers practical, reproducible recipes for training and evaluating medical reasoning LMMs. Looking forward to community feedback! Thanks to my collaborators and advisor, this was a team effort!
Open baselines matter! MedVLThinker delivers practical, reproducible recipes for training and evaluating medical reasoning LMMs. Looking forward to community feedback! Thanks to my collaborators and advisor, this was a team effort!
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Xiaoke Huang retweeted
Reasoning LLMs are now able to tackle much tougher questions than ever—but what really drives their success? Is it Knowledge 📖 or Reasoning 🤔? 🔎 We present a new step-by-step framework to evaluate how LLMs think. 🧵 Thread:
Xiaoke Huang retweeted
Want to build R1-like multimodal models but unable to find suitable reasoning data for training/tuning? Meet our preliminarily released 🔥VL-Thinking🤔: An R1-Derived Vision-Language Dataset for Thinkable LVLMs 🔥 Specifically, we use a 4-step process to infuse R1-style…
Xiaoke Huang retweeted
Super excited to share our latest work in collaboration with the groups of @yuyinzhou_cs & @ZhichengJi ! 🎉 🧬 MethylProphet – a gene-guided Transformer for DNA methylation inference at unmeasured CpGs. 🧬 EpiFoundation – a foundation model for scATAC-seq. Check them out! 🔬👇
Xiaoke Huang retweeted
🔥🔥Introducing Ola! State-of-the-art omni-modal understanding model with advanced progressive modality alignment strategy! Ola ranks #1 on OpenCompass Leaderboard (<10B)@OpenCompass. 📜Paper: arxiv.org/abs/2502.04328 🛠️Code: github.com/Ola-Omni/Ola
Xiaoke Huang retweeted
🚨 New preprint alert! "Story-Adapter: A Training-free Iterative Framework For Long Story Visualization"! 🎨🖼️ - a training-free and computationally efficient framework for long story visualization up to 100 frames 🌐 Project Website: jwmao1.github.io/storyadapter/ 📄 Paper:…
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