Retrieval-augmented Multi-label Text Classification

Longformer: The long-document transformer

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Siamese neural networks for one-shot image recognition

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An overview of the bioasq large-scale biomedical semantic indexing and question answering competition

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Prototypical networks for few-shot learning

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Attention is all you need

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Few-shot and zero-shot multi-label learning for structured label spaces

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Billion-scale similarity search with GPUs

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An empirical study on large-scale multi-label text classification including few and zero-shot labels

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Retrieval-augmented generation for knowledge-intensive nlp tasks

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MultiEURLEX - a multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer

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Ilias Chalkidis, Manos Fergadiotis, and Ion Androutsopoulos. 2021a · 2021

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Overview of bioasq 2021: The ninth bioasq challenge on large-scale biomedical semantic indexing and question answering

Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou, Anastasia Krithara, Luis Gasco, Martin Krallinger, and Georgios Paliouras. 2021 · 2021

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Improved multi-label classification under temporal concept drift: Rethinking group-robust algorithms in a label-wise setting

Ilias Chalkidis and Anders Søgaard. 2022 · 2022

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Retrieval augmented classification for long-tail visual recognition

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Efficient few-shot learning without prompts

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LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development

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