arxiv
PublishedOctober 9, 2026 at 4:00 AM
MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement
Publisher summary· verbatim
arXiv:2610.11959v1 Announce Type: new Abstract: 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
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Originally published on arxiv ↗