2 papers
cs.DS2026
Context Compaction Theory
Hayder Tirmazi, Sam Markelon, Allison Bishop +1
Large Language Models (LLMs) have a bounded context window. The context window is the maximum input size an LLM can consume for a single inference. AI agents rely on a process call…
cs.CR2025
Adversary Resilient Learned Bloom Filters
Ghada Almashaqbeh, Allison Bishop, Hayder Tirmazi
A learned Bloom filter (LBF) combines a classical Bloom filter (CBF) with a learning model to reduce the amount of memory needed to represent a given set while achieving a target f…