FCPRAG paper reports more stable fusion of retrieved evidence in parametric RAG
A paper accepted to EMNLP 2026 proposes FCPRAG, a controller that selectively combines passage-specific LoRA adapters in parametric retrieval-augmented generation. The authors report higher F1 scores than standard and parametric RAG baselines across four question-answering datasets, with gains of up to 7.55%.