Paper: https://arxiv.org/abs/2605.06554 Code: https://github.com/ighoshsubho/lighthouse-attention HF: https://huggingface.co/papers/2605.065…

Lighthouse Attention is a novel attention mechanism that improves efficiency in transformer models by selectively focusing computation on the most relevant tokens, similar to how a lighthouse beam illuminates key points. The approach is presented in a research paper with accompanying code implementation and model resources on Hugging Face. This technique aims to reduce computational overhead while maintaining or improving performance in language model inference and training.

Source: Nous Research (X) | 2026-05-15