ResidualQuant: KV Cache Quantization for Looped Transformers with 2-Bit Residuals

ResidualQuant: KV Cache Quantization for Looped Transformers with 2-Bit Residuals. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.