AI RESEARCH
Test-Time Strategies for More Efficient and Accurate Agentic RAG
arXiv CS.AI
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ArXi:2603.12396v1 Announce Type: cross Retrieval-Augmented Generation (RAG) systems face challenges with complex, multihop questions, and agentic frameworks such as Search-R1 (Jin, 2025), which operates iteratively, have been proposed to address these complexities. However, such approaches can In this paper, we investigate test-time modifications to the Search-R1 pipeline to mitigate these identified shortcomings.