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M. Chinazzi

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#machine learning Sep 2025

SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA

SimulRAG, a simulator-based RAG framework with a generalized retrieval interface that translates between text and simulator parameters/outputs, is proposed, which improves informativeness and factuality over the strongest adapted RAG baselines, while UE+SBA enhances claim-level efficiency and quality.

Haozhou Xu, D. Wu, M. Chinazzi et al. · 3 citations