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Large Language Models (LLMs) have shown proficiency in question-answering tasks but often struggle to integrate real-time knowledge, leading to potentially outdated or inaccurate responses.
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. In Proceedings of the ACM on Web Conference 2024
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GNNs Also Deserve Editing, and They Need It More Than Once. In Forty-first International Conference on Machine Learning
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