Mapping job-postings to a taxonomy of industrial sectors without finetuning: “No Train, No Pain? Assessing the Ability of #LLMs for #TextClassification with no Finetuning” by R. Fechner, J. Dörpinghaus. ACSIS Vol. 40 p. 9–16;
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Publicações com #TextClassification
Publicações públicas do X que usam #TextClassification.
The Carter Center @CarterCenterTomorrow at 1:45 p.m. ET, @CarterCenter #ConflictResolution Program rep Kate Keator joins a panel on data & analysis at @nyuCIC's #Data4Peace workshop, where she’ll feature info on our work with Natural Language Processing in partnership with @Microsoft.
Asaf Yehudai @AsafYehudai🎉Excited to share our paper When LLMs are Unfit, Use FastFit: Fast and Effective Text Classification with Many Classes was accepted to @naaclmeeting! 🚀SOTA results ⚡Fast training & inference 🎯High accuracy 📄Paper: 💻Package: