Author

Hao-Dong Li

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Preprint Oct 2026

The Trinity: Capability-Driven Recursive Self-Improvement for Multimodal Agents

Multimodal intelligence can be viewed as human-guided co-evolution between worlds and agents through interaction. However, scaling this process faces two bottlenecks: constructing heterogeneous, verifiable environments is costly, and manual Harness iteration cannot keep pace with growing task diversity and complexity....

Wei-Dong Tang, Rui-Heng Wang, Jing-Xuan Zhang et al. · 2 citations

#artificial intelligence Preprint Oct 2026

The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents

The Trinity is introduced, a recursive self-improvement framework coupling world generation with Harness evolution through three roles: Creator, Explorer, and Evolver, which introduces Capability-Driven Real2Sim2Real: for heterogeneous tasks at the same node, Creator abstracts their common requirements into simplified,...

Wei-Dong Tang, Rui-Heng Wang, Jing-Xuan Zhang et al. · 0 citations