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cs.LG2026
A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings
Hei Ting, Hei Ting Chan, Chan +9
Medical AI has demonstrated specialist-level diagnostic accuracy, yet these capabilities remain largely inaccessible in resource-constrained rural settings where bandwidth is scarc…
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.LG2024
Eagle: Efficient Training-Free Router for Multi-LLM Inference
Zesen Zhao, Shuowei Jin, Z. Morley Mao
The proliferation of Large Language Models (LLMs) with varying capabilities and costs has created a need for efficient model selection in AI systems. LLM routers address this need…