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arXiv · 2501.11499

KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval

Zihan Wang·Jinyuan Fang·Giacomo Frisoni·Zhuyun Dai·Zaiqiao Meng·Gianluca Moro·Emine Yilmaz
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Abstract

Pretrained language models (PLMs) like BERT and GPT-4 have become the foundation for modern information retrieval (IR) systems. However, existing PLM-based IR models primarily rely on the knowledge learned during training for prediction, limiting their ability to access and incorporate external, up-to-date, or domain-specific information. Therefore, current information retrieval systems struggle with semantic nuances, context relevance, and domain-specific issues. To address these challenges, we propose the second Knowledge-Enhanced Information Retrieval workshop (KEIR @ ECIR 2025) as a platform to discuss innovative approaches that integrate external knowledge, aiming to enhance the effectiveness of information retrieval in a rapidly evolving technological landscape. The goal of this workshop is to bring together researchers from academia and industry to discuss various aspects of knowledge-enhanced information retrieval.

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Zihan Wang, Jinyuan Fang, Giacomo Frisoni, Zhuyun Dai, Zaiqiao Meng, Gianluca Moro, Emine Yilmaz. 2025-01-20. KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. https://arxiv.org/abs/2501.11499

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