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cs.LG2026
kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail
Mahmoud Abdelfattah, Hamid Nasiri, Peter Garraghan
Large language models (LLMs) are increasingly deployed in domains requiring guardrails to detect unsafe, off-topic, or adversarial prompts. Existing guardrails predominantly rely o…
cs.CL2026
Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference
Marta Adamska, Daria Smirnova, Hamid Nasiri +2
Large Language Models (LLMs) have become widely used across various domains spanning search engines, code generation, and text creation. However, a major concern associated with th…
cs.AI2026
Cost-Aware Model Orchestration for LLM-based Systems
Daria Smirnova, Hamid Nasiri, Marta Adamska +2
As modern artificial intelligence (AI) systems become more advanced and capable, they can leverage a wide range of tools and models to perform complex tasks. The task of orchestrat…