Method Drift›Retrieval-augmented generation
Contriever
Retrieval-augmented generation
superseded — cited as a baseline and beaten by newer methods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.
- Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
PURPLE beats Contriever · ROUGE-L [Phi-4-Mini-Instruct (3.84B)]
13.2 vs 13.0
- The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation
FairFilter-Contriever beats Contriever · Overall Fairness [Llama3.2-1b with Contriever]
0.044 vs 0.571
- CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation
CAR beats Contriever · NDCG@5 AVG [Contriever retriever only]
49.042 vs 48.167
- Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
CERA beats Contriever · Recall@1 [Evidence Inference Dataset 2.0]
0.2016 vs 0.0214
- Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
CERA beats Contriever · Recall@3 [Evidence Inference Dataset 2.0]
0.4169 vs 0.0640
- Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
CERA beats Contriever · Recall@5 [Evidence Inference Dataset 2.0]
0.5608 vs 0.1169
- Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
CERA beats Contriever · Recall@10 [Evidence Inference Dataset 2.0]
0.7442 vs 0.2035
- Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
CERA beats Contriever · Recall@20 [Evidence Inference Dataset 2.0]
0.8947 vs 0.3392
- Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
CERA beats Contriever · Recall@50 [Evidence Inference Dataset 2.0]
0.9802 vs 0.6027
- Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
CERA beats Contriever · Precision@1 [Evidence Inference Dataset 2.0]
0.2593 vs 0.0302
- Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
CERA beats Contriever · Precision@3 [Evidence Inference Dataset 2.0]
0.1863 vs 0.0299
- Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
CERA beats Contriever · Precision@5 [Evidence Inference Dataset 2.0]
0.1504 vs 0.0315
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.
- 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