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multimodal agents

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RESEARCH · 1 SOURCE · arXiv cs.AI

The Trinity: capability-driven recursive self-improvement for multimodal agents (arXiv:2610.36077v1)

This paper introduces The Trinity, a recursive self-improvement framework for multimodal agents that couples procedurally generated simulated worlds with iterative "Harness" evolution via three roles — Creator, Explorer, and Evolver. It proposes Capability-Driven Real2Sim2Real and a capability/harness tree organization (plus a Capability-Aware Harness Router); the authors report mean performance improvements of 34 points across 28 training benchmarks and 26 points across 18 unseen benchmarks, including two real-world embodied tasks.

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