Automating document-intensive workflows, improving data consistency and reducing operational delays could reshape how structured products are analysed, distributed and serviced, but the quality of the client experience remains central to competition.
Reinforcement learning (RL) is the central training paradigm for advancing large foundation models towards self-improvement. This report introduces the MiMo-V2.6 series, an omni-modal family that pushes the frontier of model intelligence by scaling RL compute. Prior to RL, we conduct mid-training on a broad multimodal corpus to provide ample exploration space, and build a solid…
