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ENTITY RFM

RFM

PulseAugur coverage of RFM — every cluster mentioning RFM across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_123000 ·

    New RFM-AGOP method rapidly identifies refusal subspaces in LLMs

    Researchers have developed a new method called RFM-AGOP, which adapts the Recursive Feature Machine algorithm to efficiently identify multi-dimensional refusal subspaces in large language models. This technique can pinp…

  2. COMMENTARY · CL_118849 ·

    Feature engineering remains critical despite LLMs, author argues

    Feature engineering remains crucial for machine learning models, even with the rise of large language models (LLMs). The author argues that the quality of features fed into a model significantly impacts accuracy more th…