Process supervision via RAG-Gym produces more reliable and generalizable search agents, with gains driven by higher-quality queries on out-of-domain multi-hop tasks.
Simrag: Self-improving retrieval-augmented generation for adapting large language models to specialized domains
2 Pith papers cite this work. Polarity classification is still indexing.
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Hybrid SFT and RAG on Qwen2.5-7B achieves 0.481 exact-match citation accuracy on the RTA with zero hallucinations, outperforming SFT-only, RAG-only, and larger retrieval pipelines.
citing papers explorer
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Supervising the search process produces reliable and generalizable information-seeking agents
Process supervision via RAG-Gym produces more reliable and generalizable search agents, with gains driven by higher-quality queries on out-of-domain multi-hop tasks.
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Train, Retrieve, or Both? A Four-Arm Head-to-Head for Correct Statutory Citation on the Ontario Residential Tenancies Act
Hybrid SFT and RAG on Qwen2.5-7B achieves 0.481 exact-match citation accuracy on the RTA with zero hallucinations, outperforming SFT-only, RAG-only, and larger retrieval pipelines.