Papers by Alex Gittens

    1 papers
    Aligners: Decoupling LLMs and Alignment (2024.findings-emnlp)

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    Challenge: Large Language Models (LLMs) need to be aligned with human expectations to ensure their safety and utility in most applications.
    Approach: They propose to decouple LLMs and alignment by training *aligner* models that can be used to align any LLM on an as-needed basis.
    Outcome: The proposed model can be used to align any LLM for a given criteria on an as-needed basis.

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