AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The extent to which LLMs can effectively perform human expert assessment of counterspeech quality across four dimensions is investigated, finding that LLMs show low agreement and moderate rank correlations with human experts.
These insights show that LLMs have promising but moderate correlation with human judgment, with Llama-70B obtaining the strongest alignment and other LLMs exhibit weak, moderate, or high alignment while achieving comparable results against human judgment, suggesting partial but complementary understanding of underlying...
WSF-ARG+, the first dataset which combines hate speech with check-worthiness information is released, and a novel LLM-in-the-loop framework to facilitate the annotation of check-worthy claims is introduced.
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