Retrieval-augmented generation
Contriever
Superseded — cited as a baseline and beaten by newer methods
0 papers critique it · 4 beat it on benchmarks
Beaten on benchmarks
Head-to-head results where a newer method reports beating Contriever. Values are copied from the source paper's tables — verify against the cited paper.
CERA beats Contriever
0.2016 vs 0.0214
Recall@1 · [Evidence Inference Dataset 2.0]
Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAGFairFilter-Contriever beats Contriever
0.044 vs 0.571
Overall Fairness · [Llama3.2-1b with Contriever]
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented GenerationCAR beats Contriever
49.042 vs 48.167
NDCG@5 AVG · [Contriever retriever only]
CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented GenerationPURPLE beats Contriever
13.2 vs 13.0
ROUGE-L · [Phi-4-Mini-Instruct (3.84B)]
Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
What to use instead
Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.
- Beyond Topical SimilarityBeyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAGMay 31, 2026
- Experience-RAG SkillAn Agent-Oriented Pluggable Experience-RAG Skill for Experience-Driven Retrieval Strategy OrchestrationMay 5, 2026
- LFRAGLFRAG: Layout-oriented Fine-grained Retrieval-Augmented Generation on Multimodal Document UnderstandingApr 18, 2026
- Don't Retrieve, NavigateDon't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAGApr 16, 2026
- Feb 25, 2026
- SEAL-RAGReplace, Don't Expand: Mitigating Context Dilution in Multi-Hop RAG via Fixed-Budget Evidence AssemblyDec 11, 2025
- ModernBERT + ColBERTModernBERT + ColBERT: Enhancing biomedical RAG through an advanced re-ranking retrieverOct 6, 2025
- Cluster-based Adaptive Retrieval (CAR)Cluster-based Adaptive Retrieval: Dynamic Context Selection for RAG ApplicationsOct 2, 2025