الملخص
Agentic workflows enable large language models (LLMs) to solve complex tasks by coordinating reasoning, tool use, and verification. However, a workflow optimized for an entire task collection can overlook differences in the reasoning strategies that individual queries need, while searching for a new workflow for every query repeats costly optimization. To address this tradeoff, we introduce RA-MoWE, a framework that uses workflow-affinity embeddings to cluster queries and guide the generation of reusable expert workflows. Each embedding records how well a fixed set of reference workflows solves a query, revealing similarities in which reasoning strategies are effective. RA-MoWE uses each cluster's queries and average embedding to initialize and refine a specialized workflow through execution feedback. An embedding encoder predicts these embeddings from query text, allowing new queries to select a generated expert without first executing the reference workflows. On a 300-query test set drawn from four benchmarks spanning mathematics, science, and programming, RA-MoWE improves average task score by 4.04 percentage points over selecting among the reference workflows, while using 27.7% fewer language-model calls at inference.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
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اقتبس هذه المقالة
APA 7
Cheng, Q., Chen, S., Cheng, W., Xie, Y., Wang, H., Chen, H., & Jia, X. (2026). RA-MoWE: Workflow-Affinity Embeddings for Query Clustering and Agentic Workflow Generation. https://omanscience.com/ar/articles/ra-mowe-workflow-affinity-embeddings-for-query-clustering-and-agentic-workflow-generation
MLA 9
Cheng, Qi, et al. "RA-MoWE: Workflow-Affinity Embeddings for Query Clustering and Agentic Workflow Generation." https://omanscience.com/ar/articles/ra-mowe-workflow-affinity-embeddings-for-query-clustering-and-agentic-workflow-generation.
شيكاغو (المؤلف–التاريخ)
Cheng, Qi, Shengyu Chen, Wei Cheng, Yiqun Xie, Haoyu Wang, Haifeng Chen, and Xiaowei Jia. 2026. "RA-MoWE: Workflow-Affinity Embeddings for Query Clustering and Agentic Workflow Generation." https://omanscience.com/ar/articles/ra-mowe-workflow-affinity-embeddings-for-query-clustering-and-agentic-workflow-generation.
هارفارد
Cheng, Q., Chen, S., Cheng, W., Xie, Y., Wang, H., Chen, H. and Jia, X. (2026) 'RA-MoWE: Workflow-Affinity Embeddings for Query Clustering and Agentic Workflow Generation', Available at: https://omanscience.com/ar/articles/ra-mowe-workflow-affinity-embeddings-for-query-clustering-and-agentic-workflow-generation.
فانكوفر
Cheng Q, Chen S, Cheng W, Xie Y, Wang H, Chen H, et al. RA-MoWE: Workflow-Affinity Embeddings for Query Clustering and Agentic Workflow Generation. https://omanscience.com/ar/articles/ra-mowe-workflow-affinity-embeddings-for-query-clustering-and-agentic-workflow-generation
IEEE
Q. Cheng, S. Chen, W. Cheng, Y. Xie, H. Wang, H. Chen, and X. Jia, "RA-MoWE: Workflow-Affinity Embeddings for Query Clustering and Agentic Workflow Generation," https://omanscience.com/ar/articles/ra-mowe-workflow-affinity-embeddings-for-query-clustering-and-agentic-workflow-generation.