GitHub

Transformer Model: Encoder–Decoder Architecture in PyTorch

Implementation of the Transformer architecture from scratch using PyTorch. This project demonstrates the key building blocks of Transformers—positional encoding, multi-head attention, encoder and ...
GitHub

Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding

This paper aims to overcome the "lost-in-the-middle" challenge of large language models (LLMs). While recent advancements have successfully enabled LLMs to perform stable language modeling with up to ...
techxplore

Flexible position encoding helps LLMs follow complex instructions and shifting states

The team tested its ability to follow the most recent "write" command despite many distracting steps and multi-step recall tests, tasks that are difficult for standard positional encoding methods like ...
IEEE

How Positional Encoding Influence the 3D Reconstruction with Neural Radiance Field

Abstract: Neural Radiance Fields (NeRF) has been a milestone in 3D reconstruction. However, researchers seldom explore the influence of positional encoding, which is counted in the NeRF. Thus, we ...
Learn With Jay on MSN

Positional encoding in transformers explained clearly

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full ...
IEEE

End-to-End Radar Human Segmentation with Differentiable Positional Encoding

Abstract: The Radar dEtection TRansformer (RETR) has recently been introduced to fuse multi-view millimeter-wave radar heatmaps using a detection transformer framework and a simple geometric learning ...