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Cover image for New AI Method Teaches Language Models to Cite Sources Accurately Without Manual Training
Mike Young
Mike Young

Posted on • Originally published at aimodels.fyi

New AI Method Teaches Language Models to Cite Sources Accurately Without Manual Training

This is a Plain English Papers summary of a research paper called New AI Method Teaches Language Models to Cite Sources Accurately Without Manual Training. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

  • SelfCite introduces self-supervised learning for context attribution in large language models
  • Addresses the challenge of accurately citing sources while generating text
  • Achieves improved citation accuracy without requiring manual labels
  • Demonstrates effectiveness across multiple model sizes and datasets
  • Reduces hallucination and improves factual accuracy in model outputs

Plain English Explanation

Language models often struggle to properly credit their sources when generating text. SelfCite tackles this problem by teaching models to identify which parts of their input contex...

Click here to read the full summary of this paper

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