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ComfyUI-R1: Exploring Reasoning Models for Workflow Generation (2026.findings-acl)

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Challenge: ComfyUI-R1 is the first large reasoning model for automated workflow generation.
Approach: They propose a large reasoning model for automated workflow generation that builds on curated knowledge bases and a two-stage framework to fine-tune models for cold start and reinforcement learning for incentivizing reasoning capability.
Outcome: The proposed model achieves 97% format validity rate, high pass rate, node-level and graph-level F1 scores, surpassing prior state-of-the-art methods that employ leading closed-source models such as GPT-4o and Claude series.

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