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cs.CL2025
An LLM-Powered AI Agent Framework for Holistic IoT Traffic Interpretation
Daniel Adu Worae, Spyridon Mastorakis
Internet of Things (IoT) networks generate diverse and high-volume traffic that reflects both normal activity and potential threats. Deriving meaningful insight from such telemetry…
cs.CL2025
SemShareKV: Efficient KVCache Sharing for Semantically Similar Prompts via Token-Level LSH Matching
Xinye Zhao, Spyridon Mastorakis
As large language models (LLMs) continue to scale, the memory footprint of key-value (KV) caches during inference has become a significant bottleneck. Existing approaches primarily…
cs.CL2025
Helping Large Language Models Protect Themselves: An Enhanced Filtering and Summarization System
Sheikh Samit Muhaimin, Spyridon Mastorakis
The recent growth in the use of Large Language Models has made them vulnerable to sophisticated adversarial assaults, manipulative prompts, and encoded malicious inputs. Existing c…