most citedDance Generation with Style Embedding: Learning and Transferring Latent Representations of Dance Styles

4 citations · 5 across the 4 of their papers we have counts for

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cs.AI2025★ 1 cited

DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning

Jucheng Hu, Surong Yang, Lijun Wu +1

Ad-hoc instruction fine-tuning of large language models (LLMs) is widely adopted for domain-specific adaptation. While domain-specific supervised fine-tuning (SFT) is effective and…