Author

Sreetama Sarkar

University of Southern California

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#artificial intelligence Preprint Oct 2026

RaReCache: Bridging the Gap in Cross-Model KV Cache Reuse via Rank disagreement-based Selective Recomputation

Cross-model KV-cache reuse remains a key challenge in modern LLM serving. Coding agents and multi-model systems increasingly route a shared context across models: a user may switch models mid-session, or a cascade may escalate a difficult query. Because KV caches contain model-specific representations, each switch typi...

Sreetama Sarkar, Saptarshi Mitra, Si-Tao Huang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Hardware-Aware Learned Representation Compression for Distributed In-Sensor Vision

OASIS, a distributed in-sensor vision framework that uses a lightweight encoder to generate compact, task-relevant representations before off-chip transmission, is presented, demonstrating a practical hardware-algorithm co-design path for communication-efficient in-sensor vision.

Cheng-Wei Zhou, Abu Masum, Xu-Ming Chen et al. · 0 citations