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The author discusses how their 2021 neural network for classifying scientific publications has been rendered obsolete by newer AI models like Jev and Qwen 27b.
This paper presents a framework for funder name disambiguation in scientific publications using multi-functional embedding models trained with multi-task learning, achieving over 0.90 accuracy and outperforming general-purpose LLMs like GPT-5.2.