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Combining text, images, and audio from academic papers can dramatically boost keyword extraction accuracy, revealing the untapped potential of multimodal data.
More than half of algorithm mentions in NLP papers are for direct use, signaling a significant shift in how researchers engage with algorithms over time.
ChatGPT can generate high-quality academic highlights without the need for extensive labeled datasets, outperforming traditional methods with just a few examples.
Academic paper "highlights" sections are a surprisingly rich source of keywords, boosting unsupervised extraction when combined with abstracts.
