QREAM (Retrieval-augmented generation): current frontier — recent, not yet superseded in the knowledge base. 0 paper(s) critique it, 0 beat it on benchmarks — not ranked as a superseded baseline. Sub-problem: cluster led by RECOMP. Newer alternatives in the same sub-problem include Bottleneck Attention Intervention for Recovery (BAIR), QREAM, CoCR-RAG, XProvence, Crucible.

Retrieval-augmented generation

QREAM

Align Documents to Questions: Question-Oriented Document Rewriting for Retrieval-Augmented Generation

On the frontierfirst seen Apr 19, 2026

Current frontier — recent, not yet superseded in the knowledge base

0 papers critique it · 0 beat it on benchmarks

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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.

Bottleneck Attention Intervention for Recovery (BAIR)The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation
May 7, 2026
QREAMAlign Documents to Questions: Question-Oriented Document Rewriting for Retrieval-Augmented Generation
Apr 19, 2026
CoCR-RAGCoCR-RAG: Enhancing Retrieval-Augmented Generation in Web Q&A via Concept-oriented Context Reconstruction
Mar 25, 2026
XProvenceXProvence: Zero-Cost Multilingual Context Pruning for Retrieval-Augmented Generation
Jan 26, 2026
CrucibleIncorporating Q&A Nuggets into Retrieval-Augmented Generation
Jan 19, 2026
AttnCompAttnComp: Attention-Guided Adaptive Context Compression for Retrieval-Augmented Generation
Sep 22, 2025
Contextual Influence Value (CI value)Influence Guided Context Selection for Effective Retrieval-Augmented Generation
Sep 21, 2025