Summary of Sbora: Low-rank Adaptation with Regional Weight Updates, by Lai-man Po et al.
SBoRA: Low-Rank Adaptation with Regional Weight Updatesby Lai-Man Po, Yuyang Liu, Haoxuan Wu, Tianqi Zhang,…
SBoRA: Low-Rank Adaptation with Regional Weight Updatesby Lai-Man Po, Yuyang Liu, Haoxuan Wu, Tianqi Zhang,…
LoRA-GA: Low-Rank Adaptation with Gradient Approximationby Shaowen Wang, Linxi Yu, Jian LiFirst submitted to arxiv…
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuningby Aleksander Ficek, Jiaqi Zeng,…
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Modelsby Hayder Elesedy, Pedro M.…
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuningby Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu…
A Comprehensive Solution to Connect Speech Encoder and Large Language Model for ASRby Van Tung…
BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocksby Amrutha Varshini…
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learningby Ziyu Zhao, Leilei Gan, Guoyin Wang,…
Unlocking the Global Synergies in Low-Rank Adaptersby Zixi Zhang, Cheng Zhang, Xitong Gao, Robert D.…
FLoCoRA: Federated learning compression with low-rank adaptationby Lucas Grativol Ribeiro, Mathieu Leonardon, Guillaume Muller, Virginie…