Method Drift›Retrieval-augmented generation
Superseded baseline#43 of 1,179 most-superseded
ReliabilityRAG
ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-SearchRetrieval-augmented generation · first seen Sep 27, 2025
superseded — cited as a baseline and beaten by newer methods
3 papers critique it · 2 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites ReliabilityRAG as a baseline.
“However, these methods introduce significant runtime overhead, as the retrieve-and-filter process must be performed for every user question, and they often achieve limited effectiveness and/or degrade the utility of the RAG system”
— CleanBase: Detecting Malicious Documents in RAG Knowledge Databases“However, as this problem is NP-hard, processing large scale retrieval sets requires discarding a substantial number of documents to reduce computational costs, leading to significant information loss.”
— BiRD: A Bidirectional Ranking Defense Mechanism for Retrieval Augmented Generation“Heuristic aggregation or filtering~xiang2024certifiably often causes utility loss, while optimization-based consistency selection~shenreliabilityrag typically relies on approximations without strong guarantees.”
— RADAR: Defending RAG Dynamically against Retrieval Corruption
Beaten on benchmarks
Head-to-head results where a newer method reports beating ReliabilityRAG. Values are copied from the source paper's tables — verify against the cited paper.
- BiRD: A Bidirectional Ranking Defense Mechanism for Retrieval Augmented Generation
BiRD beats ReliabilityRAG · Runtime [Qwen2.5-7B + all retrievers]
3.00 vs 25.90
- RADAR: Defending RAG Dynamically against Retrieval Corruption
RADAR beats ReliabilityRAG · Acc. [PIA attack, k=10, Pos 1]
72.0 vs 66.6
- RADAR: Defending RAG Dynamically against Retrieval Corruption
RADAR beats ReliabilityRAG · Acc. [Top-k=50, Poison, Pos 1]
71.0 vs 64.0
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.
- May 26, 2026
- May 19, 2026
- May 1, 2026
- Beyond Factual GroundingBeyond Factual Grounding: The Case for Opinion-Aware Retrieval-Augmented GenerationApr 13, 2026
- RAGShieldRAGShield: Provenance-Verified Defense-in-Depth Against Knowledge Base Poisoning in Government Retrieval-Augmented Generation SystemsApr 1, 2026
- Mar 24, 2026
- Jan 13, 2026
- Oct 10, 2025
- RADARRADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized CollaborationSep 28, 2025
- RAGOriginWho Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented GenerationSep 17, 2025