15 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.SD2025
MQAD: A Large-Scale Question Answering Dataset for Training Music Large Language Models
Zhihao Ouyang, Ju-Chiang Wang, Daiyu Zhang +3
Question-answering (QA) is a natural approach for humans to understand a piece of music audio. However, for machines, accessing a large-scale dataset covering diverse aspects of mu…
cs.CL2024★ 2 cited
MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting
Tianhao Li, Shangjie Li, Binbin Xie +2
The advent of large language models (LLMs) has predominantly catered to high-resource languages, leaving a disparity in performance for low-resource languages. Conventional Continu…
cs.CL2023★ 15 cited
PolyLM: An Open Source Polyglot Large Language Model
Xiangpeng Wei, Haoran Wei, Huan Lin +15
Large language models (LLMs) demonstrate remarkable ability to comprehend, reason, and generate following nature language instructions. However, the development of LLMs has been pr…