Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the same as "The box was on the cat." Over a long text, like a financial ...

First off, thank you for your amazing work and for open-sourcing the highly efficient tool. I'm sure it will be a significant contribution to the 3D community. After reviewing the paper, I have a ...

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GenAI isn’t just revolutionizing software—it’s poised to reshape the physical world in ways that solve some of society’s most urgent challenges. One of the most pressing is agriculture. As the global ...

This important study investigates whether neural prediction of words can be measured through pre-activation of neural network word representations in the brain; solid evidence is provided that neural ...

Transformers have emerged as foundational tools in machine learning, underpinning models that operate on sequential and structured data. One critical challenge in this setup is enabling the model to ...

After reviewing the code, I noticed that the positional encoding in Qwen2.5-VL is implemented based on 2D-RoPE, where the position embeddings for height and width are concatenated along the channel ...