1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 1 cited
Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences
Shanshan Han, Salman Avestimehr, Chaoyang He
We present Wildflare GuardRail, a guardrail pipeline designed to enhance the safety and reliability of Large Language Model (LLM) inferences by systematically addressing risks acro…
cs.DC2024★ 1 cited
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency
Yuhang Yao, Han Jin, Alay Dilipbhai Shah +7
Large language models (LLMs) have surged in popularity and are extensively used in commercial applications, where the efficiency of model serving is crucial for the user experience…