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cs.CV2024
Empower Vision Applications with LoRA LMM
Liang Mi, Weijun Wang, Wenming Tu +10
Large Multimodal Models (LMMs) have shown significant progress in various complex vision tasks with the solid linguistic and reasoning capacity inherited from large language models…
cs.RO2024
Adapting Image-based RL Policies via Predicted Rewards
Weiyao Wang, Xinyuan Fang, Gregory D. Hager
Image-based reinforcement learning (RL) faces significant challenges in generalization when the visual environment undergoes substantial changes between training and deployment. Un…
cs.AI2024
LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design
Rui Kong, Qiyang Li, Xinyu Fang +7
Recent literature has found that an effective method to customize or further improve large language models (LLMs) is to add dynamic adapters, such as low-rank adapters (LoRA) with…