Author
Institute of Automation, Chinese Academy of Sciences
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The MiMo-V2.6 series is introduced, an omni-modal family that pushes the frontier of model intelligence by scaling RL compute by building infrastructure for mixed-task agentic RL, including a unified trajectory representation, high-concurrency multi-framework rollout, decoupled control and data planes, and training-inf...
SWE-Touch is introduced, a framework that stress-tests this setting through validated Counter-Edits: plausible edits to task-relevant code that conflict with task completion, and point to detecting workspace changes, reconciling conflicting edits with the task, and verifying the affected behavior as key capabilities fo...
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