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Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers
We generate synthetic training data for the entirety of ESCO skills and train a classifier to extract skill mentions from job posts.
Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification
Furthermore, we observe that the wording of the prompt is a critical factor in eliciting the appropriate "reasoning" in the model, and that seemingly minor aspects of the prompt significantly affect the model's performance.
Compression of Deep Neural Networks on the Fly
In this paper we introduce a novel compression method for deep neural networks that is performed during the learning phase.
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