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Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders
用稀疏自编码器在LLM特征空间合成多样化数据，实现“少即是多”的高效数据扩充新方法。
arXiv:2602.10388v3 Announce Type: replace-cross Abstract: The diversity of post-training data is critical for effective downstream performance in larg…