As a work exploring the existing trade-off between accuracy and efficiency in the context of point cloud processing, Point Transformer V3 (PTV3) has made significant advancements in computational ...

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Thank you for your excellent work and for sharing your code! I have a question regarding the positional encoding strategy used in the model. From the code, I noticed that after obtaining the Sonata ...

As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history evaluation, it is crucial to recognize the limitations of these models. While ...

The attention mechanism is a core primitive in modern large language models (LLMs) and AI more broadly. Since attention by itself is permutation-invariant, position encoding is essential for modeling ...

ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...

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 ...