Method Drift›Retrieval-augmented generation
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R$^3$AG
R$^3$AG: Retriever Routing for Retrieval-Augmented GenerationRetrieval-augmented generation · first seen Apr 22, 2026
current frontier — recent, not yet superseded in the knowledge base
0 papers critique it · 0 beat it on benchmarks
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.
- May 26, 2026
- May 18, 2026
- ConflictRAGConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented GenerationMay 17, 2026
- SEMA-RAGSEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical ReasoningMay 16, 2026
- PyRAGRetrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented GenerationMay 13, 2026
- CoRM-RAGBeyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented GenerationMay 2, 2026
- STEMSTEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented GenerationApr 24, 2026
- Apr 22, 2026
- Self-Correcting RAGSelf-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTSApr 12, 2026
- Mar 7, 2026
- Cooperative Retrieval-Augmented Generation (CoRAG)Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making ProblemFeb 21, 2026
- Jan 29, 2026