2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.DC2026
DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization
Hyeonjun An, Sihyun Kim, Chaerim Lim +9
Multimodal Large Language Models (MLLMs) have achieved remarkable advances by integrating text, image, and audio understanding within a unified architecture. However, existing dist…
cs.CV2022★ 2 cited
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
Kanghyun Choi, Hye Yoon Lee, Deokki Hong +4
Model quantization is considered as a promising method to greatly reduce the resource requirements of deep neural networks. To deal with the performance drop induced by quantizatio…