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cs.DC2026
InferScale: GPU-Native KV Injection for Personalized LLM Serving
Peter Li, Prashant Pandey
Large language models are increasingly deployed with persistent personalized context, such as accumulated memory profiles or long conversation histories, that is shared across a us…
cs.DS2026
How to Train Your Filter: Should You Learn, Stack or Adapt?
Diandre Miguel Sabale, Wolfgang Gatterbauer, Prashant Pandey
Filters are ubiquitous in computer science, enabling space-efficient approximate membership testing. Since Bloom filters were introduced in 1970, decades of work improved their spa…