Researchers have developed a method to reduce code duplication in large software projects called Large-scale Near-deduplication. This technique, part of the BigCode project, aims to identify and remove duplicate code snippets from massive codebases. The approach uses a combination of machine learning models and graph-based algorithms to efficiently detect duplicates. --- Why it matters: Engineers working on large-scale software development projects will be interested in this research as it can help reduce code maintenance costs and improve overall project efficiency by minimizing the need for redundant code. Source: https://huggingface.co/blog/dedup