5 citations · 8 across the 6 of their papers we have counts for
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cs.CL2025★ 1 cited
A Survey on Inference Engines for Large Language Models: Perspectives on Optimization and Efficiency
Sihyeong Park, Sungryeol Jeon, Chaelyn Lee +3
Large language models (LLMs) are widely applied in chatbots, code generators, and search engines. Workload such as chain-of-throught, complex reasoning, agent services significantl…
cs.CL2024★ 2 cited
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
Jemin Lee, Sihyeong Park, Jinse Kwon +2
Quantization has gained attention as a promising solution for the cost-effective deployment of large and small language models. However, most prior work has been limited to perplex…