Author

C. M. Verdun

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Preprint Aug 2026

KV Cache Compression Through the Lens of Transform Coding

The key-value (KV) cache stores information from past tokens and is a major memory bottleneck in long-context inference. Existing quantization methods address this bottleneck by representing the KV cache uniformly with lower-precision data types and designing quantization schemes to minimize reconstruction error in the...

Hannah Laus, C. M. Verdun, Hao Wang et al. · 1 citation

Jul 2026

An Instrument to Evaluate Governance Proposals: AI Policy Analysis at Scale

A mixed-methods approach that integrates qualitative insights from subject matter experts with computational text analysis to inform the design of policy attribute rubrics, intended to support policymakers, analysts, and researchers navigating complex AI governance environments.

Paulo Carvão, C. M. Verdun, Isabel Adler et al. · arXiv.org · 0 citations