博客
Essays and notes on machine learning, representation learning, and adjacent ideas.
精选文章
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What Does InfoNCE Actually Do to Representation Geometry?
How InfoNCE shapes representation distributions through alignment potentials, entropic dispersion, and cross-modal coupling.
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The Coverage Lock: What Next-Token Prediction Can and Cannot Teach Multimodal LLMs About the Visual World
On why next-token prediction can make multimodal systems useful without fully aligning language with the visual world.
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The New Locus of Representation? A Researcher's Perspective on the Large-Model Era with Limited Compute
A short take on where representation learning lives in the era of large multimodal models and limited compute.
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The Shimmering Gap
Reflections on minds, intelligence, and knowing.
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When the Internal Map Gets Warped: Why Identifiable Representations Are Crucial for Responsible AI
Why identifiable representations are crucial for responsible AI.