by Qitao Tan Papers

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Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning

Qitao Tan, Jun Liu, Zheng Zhan et al.

NEURIPS 2025arXiv:2502.03304
10
citations

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning

Sheng Li, Qitao Tan, Yue Dai et al.

ICLR 2025