Researchers have developed a unified framework called Euclid-Omni for tackling plane geometry problems. This system combines formal geometry with large language models and vision-language models to solve both calculation- and proving-style problems up to Olympiad-level difficulty. The framework includes a symbolic geometry solver that generates reasoning steps through deductive inference and algebraic computation, as well as a data-generation pipeline that creates synthetic datasets for training these models. Experiments show that Euclid-Omni outperforms other systems on certain tasks, using significantly less computational resources. --- Why it matters: This matters to AI researchers because it demonstrates a new approach to combining symbolic reasoning with deep learning, which could have implications for solving complex problems in various domains. Source: https://arxiv.org/abs/2608.14585