Method Drift›Retrieval-augmented generation
ICAE
Retrieval-augmented generation
superseded — cited as a baseline and beaten by newer methods
2 papers critique it · 2 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites ICAE as a baseline.
“Methods that over-compress inputs (e.g. ICAE) risk discarding critical content.”
— SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression“While explicit methods are generally agnostic to downstream LLMs and therefore more practical, they may suffer from higher compression loss due to the over-removal of input tokens.”
— Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation
Beaten on benchmarks
Head-to-head results where a newer method reports beating ICAE. Values are copied from the source paper's tables — verify against the cited paper.
- SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
SARA beats ICAE · F1 [512 tokens]
36.23 vs 26.64
- SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
SARA beats ICAE · ROUGE-L [512 tokens]
39.17 vs 23.53
- SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
SARA beats ICAE · F1 [1024 tokens]
40.37 vs 31.82
- SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
SARA beats ICAE · ROUGE-L [1024 tokens]
42.24 vs 33.32
- SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
SARA beats ICAE · Faithfulness [512 tokens]
43.83 vs 21.19
- Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation
FlexRAG w. SC. beats ICAE · Average (LMQA) [8x compression ratio]
29.93 vs 16.79
- Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation
FlexRAG w. SC. beats ICAE · Average (ODQA) [8x compression ratio]
45.37 vs 7.73
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.
- Bottleneck Attention Intervention for Recovery (BAIR)The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented GenerationMay 7, 2026
- QREAMAlign Documents to Questions: Question-Oriented Document Rewriting for Retrieval-Augmented GenerationApr 19, 2026
- CoCR-RAGCoCR-RAG: Enhancing Retrieval-Augmented Generation in Web Q&A via Concept-oriented Context ReconstructionMar 25, 2026
- Jan 26, 2026
- Jan 19, 2026
- Sep 22, 2025
- Contextual Influence Value (CI value)Influence Guided Context Selection for Effective Retrieval-Augmented GenerationSep 21, 2025