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...
Xiao-Zhen Qiao, Zi-Yue Hua, Zi-Rui Ou et al.· 10 citations
A small detector is trained to predict the internal development of answer readiness and stop reasoning at that point, connecting the internal development of answer readiness to a practical rule for allocating reasoning computation.
EvoOntology is introduced, a self-evolving ontology layer for data agents that encapsulates the ontology as an MCP server comprising a schema layer, a content layer, and a tool layer, enabling agents to actively query and interact with the ontology at runtime.
Mei-Duo Chong, Shao-Lei Zhang, Ju Fan et al.· 0 citations
SkillAdam, an Adam-inspired framework for optimizing discrete and non-differentiable skill documents, is introduced, an Adam-inspired framework for optimizing discrete and non-differentiable skill documents with substantially fewer optimization iterations and lower cost than prior methods.
Gao-Yuan Li, Mei-Hao Fan, Yi-Zhe Liu et al.· 5 citations· ⚡3
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