Classifier-Augmented Generation for Structured Workflow Prediction (2025.emnlp-industry)
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| Challenge: | a new system translates natural language descriptions into executable workflows . configuring stages and their properties is time consuming and requires deep tool knowledge. |
| Approach: | They propose a system that translates natural language descriptions into executable workflows . it uses a Classifier-Augmented Generation approach that combines utterance decomposition with a classifier and stage-specific prompting to produce accurate stage predictions. |
| Outcome: | The proposed system outperforms existing models and reduces token usage by 60%. |
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