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Flexible position encoding helps LLMs follow complex instructions and shifting states
Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
Abstract: This article introduces an inexpensive Wiegand-sensor-based rotary encoder that avoids rotating magnets and is suitable for electrical-drive applications. So far, Wiegand-sensor-based ...
Abstract: Recently graph auto-encoders have received increasingly widespread attention as one of the important models in the field of deep learning. Existing graph auto-encoder models only use graph ...
The HardwareTimer library aims to provide access to part of STM32 hardware Timer feature (If other features are required, they could be accessed through STM32Cube HAL/LL). The use of this library ...
We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
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