KV-cache compression
KVFlow
Superseded baseline#56 of 234 most-superseded
Superseded — cited as a baseline and beaten by newer methods
2 papers critique it · 1 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites KVFlow as a baseline.
This assumption fails on realistic dynamic workloads, where workflows are runtime-dependent.
“KVFlow also employs a proactive prefetching mechanism, but it is designed for agentic workflows with known prefix patterns. In contrast, ShadowServe supports general serving without this prior knowledge.”
Beaten on benchmarks
Head-to-head results where a newer method reports beating KVFlow. Values are copied from the source paper's tables — verify against the cited paper.
Full PBKV beats KVFlow
53.44 vs 39.87
Cache Hit Rate (%) · [FinanceBench + CrewAI (static), Qwen3-32B]
Efficient Serving for Dynamic Agent Workflows with Prediction-based KV-Cache Management
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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.
- May 7, 2026
- Sep 21, 2025