Do Large Language Models Carry Bias for Citation Recommendations? A Case Study of Energy Research Topics
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Abstract
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Research context
OpenAlex topics: Computational and Text Analysis Methods · Expert finding and Q&A systems · Recommender Systems and Techniques
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Affiliations
Radiation Laboratory and Department of Chemistry and Biochemistry
University of Notre Dame
References (6)
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1. 10.1021/acsenergylett.5c0350910.1021/acsenergylett.5c03509 ↗
2. 10.1021/acsenergylett.6c0050810.1021/acsenergylett.6c00508 ↗
3. 10.48550/arXiv.2506.0007410.48550/arXiv.2506.00074 ↗
4. 10.18653/v1/2025.findings-naacl.38110.18653/v1/2025.findings-naacl.381 ↗
5. 10.48550/arXiv.2604.1687210.48550/arXiv.2604.16872 ↗
6. Heidbach, K.; Knaus, J.; Laut, I.; Palzenberger, M. Long Term Global Trends in Open Access. A data paper ; Max Planck Digital Library; Research Information Observatory, 2022. 10.17617/2.3361428.10.17617/2.3361428 ↗