MM-EUREKA is an innovative multimodal reasoning tool jointly developed by Shanghai Artificial Intelligence Laboratory, Shanghai Jiaotong University and other authorities. The tool adopts rule-based reinforcement learning technology as the core realization means, and its main breakthrough point is that it successfully extends the traditional text-based reasoning capability to the multimodal domain.
As a fully open-source project, MM-EUREKA makes the codebase, training models, and associated datasets fully public on GitHub. The tool enables the model to process both image and text information through an innovative training method. Typical application scenarios include visual reasoning and mathematical problem solving, for example, the performance of the model trained using only 54K graphic data has surpassed that of similar products trained on millions of data.
The project consists of two main models: a basic version with 8B parameters and a high-performance version with 38B parameters, which developers can choose flexibly according to their computational resources. This technical realization path reduces data requirements and significantly improves the quality of multimodal task completion.
This answer comes from the articleMM-EUREKA: A Multimodal Reinforcement Learning Tool for Exploring Visual ReasoningThe
