1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2026
CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
Shuo Wang, Ziyu Chen, Ming Tang
Fine-tuning large language models (LLMs) with backpropagation achieves high performance but incurs substantial memory overhead, limiting scalability on resource-constrained hardwar…
cs.CV2025
NOTA: Multimodal Music Notation Understanding for Visual Large Language Model
Mingni Tang, Jiajia Li, Lu Yang +5
Symbolic music is represented in two distinct forms: two-dimensional, visually intuitive score images, and one-dimensional, standardized text annotation sequences. While large lang…
cs.SD2024★ 1 cited
The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models
Jiajia Li, Lu Yang, Mingni Tang +4
Benchmark plays a pivotal role in assessing the advancements of large language models (LLMs). While numerous benchmarks have been proposed to evaluate LLMs' capabilities, there is…