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MoFlow: Multi-Objective Agentic Workflow Generation
Not provided in the abstract
workflow generationmulti-objective optimizationMarkov decision processMonte Carlo Tree Search
2609.38294
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1h ago80%
Abstract
MoFlow generates workflows that optimize multiple objectives simultaneously, allowing for flexible preference adjustments without retraining.
Reality Card
Core Claim
MoFlow can generate workflows optimized for varied preferences without the need for retraining, achieving the highest average hypervolume compared to strong baselines.
Method / Result
MoFlow uses a multi-objective Markov decision process and achieves the highest average hypervolume in evaluations against six strong baselines.
Limitations
The comparison with baselines is difficult due to their design as single-scalar optimizers, which may not generalize well.
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