hpool Enables Flexible Compression Settings at Inference
antoine_chaffin · x · 2026-07-07
A major advantage of hpool is allowing compression levels to be set during inference. More flexible than fixed methods, it lets users define the trade-off between performance and compression on demand—simply by cutting at any desired position on the dendrogram.
Related event: hpool Enables Flexible and Adaptive Compression for Retrieval Models(5 posts)→
More from Research
- Kolab Benchmark Uses Pro Screen Recordings to Show AI Agents Overestimate Collaboration Quality — minnesotanlp · 2026-10-27
- One BBQ Example Pushes LLM Fairness Scores Past 90%, EMNLP Paper Questions Benchmarks — radamihalcea · 2026-10-27
- Real2Sem2Real turns one phone video into 2,000+ robot demos, matching 150 teleop demos — Scobleizer · 2026-10-27
- Understanding MuonH (Hyperball) through weight norm geometry of scale-invariant networks — jasondeanlee · 2026-10-27
- Sail equivalence proof and riscv-coq cross-checks uncover real RISC-V spec bugs — xennygrimmato_ · 2026-10-27
- Kokotajlo challenges CoT monitorability evals: what if the model didn't refuse? — dfrsrchtwts · 2026-10-27