Survey: why self-improvement mechanisms for multimodal agents transfer unevenly
Jingjing Jiang · hf · 2026-11-13
A survey analyzes why self-improvement mechanisms for multimodal agents transfer unevenly across four scenarios: multimodal reasoning, generation, GUI/Web navigation, and embodied manipulation.
- Uses a three-stage self-evolving loop (experience generation, feedback acquisition, update consolidation) as the analytical framework, ordering scenarios by rollout ceilings and feedback fidelity
- Recasts each mechanism as a trade-off over scarce factors and task-structural resources, judging it portable, conditional, blocked, or redundant
- Attributes the asymmetry to divergent combinations of scarce factors across opposite transfer directions and proposes matched-budget measurements
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