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20232025
most citedDynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs

5 citations · 8 across the 7 of their papers we have counts for

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cs.CV2023★ 2 cited

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts

Jiang-Xin Shi, Tong Wei, Zhi Zhou +3

The fine-tuning paradigm in addressing long-tail learning tasks has sparked significant interest since the emergence of foundation models. Nonetheless, how fine-tuning impacts perf…