Improving Recursive Transformers with Mixture of LoRAs

This article, sourced from ArXiv, likely presents a research paper. The title suggests an exploration of enhancing recursive transformers, a type of neural network architecture, using a mixture of LoRAs (Low-Rank Adaptation). The focus is on improving the performance or efficiency of these models. The use of LoRAs indicates an approach to parameter-efficient fine-tuning, which is a common technique in the field of large language models (LLMs).