Author

V. Lakshman

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#machine learning Preprint Nov 2026

CacheGraft: Enhancing Retrieval-Augmented Generation via Latent-Space Document Enrichment

Recent work in machine learning has demonstrated that transformer-based language model agents can communicate state not only through text, but also directly in latent space via key-value (KV) caches. In this paper, we argue that such cache-to-cache translation can provide utility beyond the original motivating applicat...

Vihan Lakshman, P. Chen, Zhuo-Han Gu et al. · 0 citations

#machine learning Preprint Oct 2026

Geometric Kernel Diversity: An Axiomatic Diversity Measure in Euclidean Space

Quantifying the diversity of a set of objects is a fundamental problem in machine learning and statistics. Mironov and Prokhorenkova (2025) recently showed that three axioms-monotonicity, uniqueness, and continuity-are crucial for a reliable diversity measure and that none of the standard metrics in the literature sati...

Ditbul Ban, Younghun Roh, Julian Shun et al. · 0 citations