Summary of Lora Diffusion: Zero-shot Lora Synthesis For Diffusion Model Personalization, by Ethan Smith et al.
LoRA Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model Personalizationby Ethan Smith, Rami Seid, Alberto Hojel,…
Summary of Unlocking Tuning-free Few-shot Adaptability in Visual Foundation Models by Recycling Pre-tuned Loras, By Zixuan Hu and Yongxian Wei and Li Shen and Chun Yuan and Dacheng Tao
Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAsby Zixuan Hu, Yongxian…
Summary of Efficient Llm Inference Using Dynamic Input Pruning and Cache-aware Masking, by Marco Federici et al.
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Maskingby Marco Federici, Davide Belli, Mart…
Summary of Rilq: Rank-insensitive Lora-based Quantization Error Compensation For Boosting 2-bit Large Language Model Accuracy, by Geonho Lee et al.
RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracyby Geonho Lee,…
Summary of Unified Parameter-efficient Unlearning For Llms, by Chenlu Ding et al.
Unified Parameter-Efficient Unlearning for LLMsby Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang,…
Summary of Sure-vqa: Systematic Understanding Of Robustness Evaluation in Medical Vqa Tasks, by Kim-celine Kahl et al.
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasksby Kim-Celine Kahl, Selen Erkan, Jeremias…
Summary of Initialization Using Update Approximation Is a Silver Bullet For Extremely Efficient Low-rank Fine-tuning, by Kaustubh Ponkshe et al.
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuningby Kaustubh Ponkshe,…
Summary of Personalized Federated Fine-tuning For Llms Via Data-driven Heterogeneous Model Architectures, by Yicheng Zhang et al.
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architecturesby Yicheng Zhang, Zhen Qin, Zhaomin…
Summary of Desire: Dynamic Knowledge Consolidation For Rehearsal-free Continual Learning, by Haiyang Guo et al.
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learningby Haiyang Guo, Fei Zhu, Fanhu Zeng, Bing…
Summary of Challenges in Adapting Multilingual Llms to Low-resource Languages Using Lora Peft Tuning, by Omkar Khade et al.
Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuningby Omkar Khade, Shruti…