Long-context / context-window extension
LongLLMLingua
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Superseded baseline#32 of 53 most-superseded · first seen Oct 10, 2023
Superseded — cited as a baseline and beaten by newer methods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 LongLLMLingua as a baseline.
the compressed length still grows linearly with the original context length. This fails to fundamentally alter the asymptotic order of spatiotemporal complexity and can only improve efficiency by reducing constant factors
Beaten on benchmarks
Head-to-head results where a newer method reports beating LongLLMLingua. Values are copied from the source paper's tables — verify against the cited paper.
CoMeT beats LongLLMLingua
40.10 vs 37.36
Avg · [SCROLLS benchmark, 3k memory budget]
CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling
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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.