KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval
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| Format: | Preprint |
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2025
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| author | Wang, Zihan Fang, Jinyuan Frisoni, Giacomo Dai, Zhuyun Meng, Zaiqiao Moro, Gianluca Yilmaz, Emine |
| author_facet | Wang, Zihan Fang, Jinyuan Frisoni, Giacomo Dai, Zhuyun Meng, Zaiqiao Moro, Gianluca Yilmaz, Emine |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_11499 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval Wang, Zihan Fang, Jinyuan Frisoni, Giacomo Dai, Zhuyun Meng, Zaiqiao Moro, Gianluca Yilmaz, Emine Information Retrieval 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. |
| title | KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2501.11499 |