Method Drift›Retrieval-augmented generation
Superseded baseline#150 of 1,179 most-superseded
PA-RAG
PA-RAG: RAG Alignment via Multi-Perspective Preference OptimizationRetrieval-augmented generation · first seen Dec 19, 2024
superseded — cited as a baseline and beaten by newer methods
1 papers critique it · 1 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites PA-RAG as a baseline.
“However, a limitation remains regarding the granularity of adaptation. By relying on dense optimization strategies such as full-parameter fine-tuning or layer-level parameter-efficient fine-tuning, existing approaches overlook the potential of neuron-level sparsity.”
— Neuro-RIT: Neuron-Guided Instruction Tuning for Robust Retrieval-Augmented Language Model
Beaten on benchmarks
Head-to-head results where a newer method reports beating PA-RAG. Values are copied from the source paper's tables — verify against the cited paper.
- Neuro-RIT: Neuron-Guided Instruction Tuning for Robust Retrieval-Augmented Language Model
NeuRIT beats PA-RAG · Avg. [Base (no refinement module)]
66.28 vs 64.15
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.
- Stable-RAGStable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented GenerationApr 21, 2026
- Apr 2, 2026
- Feb 24, 2026
- Jan 16, 2026
- Nov 6, 2025