2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
Cheng Lin, Lujun Li, Dezhi Li +3
In this paper, we introduce Nested Low-Rank Adaptation (NoRA), a novel approach to parameter-efficient fine-tuning that extends the capabilities of Low-Rank Adaptation (LoRA) techn…
cs.SD2024★ 2 cited
Can LLMs "Reason" in Music? An Evaluation of LLMs' Capability of Music Understanding and Generation
Ziya Zhou, Yuhang Wu, Zhiyue Wu +7
Symbolic Music, akin to language, can be encoded in discrete symbols. Recent research has extended the application of large language models (LLMs) such as GPT-4 and Llama2 to the s…