36 citations · 56 across the 7 of their papers we have counts for
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cs.LG2026
MARS: Harmonizing Multimodal Convergence via Adaptive Rank Search
Minkyoung Cho, Insu Jang, Shuowei Jin +5
Fine-tuning Multimodal Large Language Models (MLLMs) with parameter-efficient methods like Low-Rank Adaptation (LoRA) is crucial for task adaptation. However, imbalanced training d…
cs.LG2025
Mordal: Automated Pretrained Model Selection for Vision Language Models
Shiqi He, Insu Jang, Mosharaf Chowdhury
Incorporating multiple modalities into large language models (LLMs) is a powerful way to enhance their understanding of non-textual data, enabling them to perform multimodal tasks.…
cs.LG2023★ 18 cited
Reducing Energy Bloat in Large Model Training
Jae-Won Chung, Yile Gu, Insu Jang +3
Training large AI models on numerous GPUs consumes a massive amount of energy, making power delivery one of the largest limiting factors in building and operating datacenters for A…