LLM-as-a-Judge: automated evaluation of search query parsing using large language models
These results validate LLM-driven evaluation as a scalable, interpretable, and effective alternative to traditional evaluation methods, providing robust query parsing for real-world search systems.
Authors
- Tunga Güngör (ORCID: https://orcid.org/0000-0001-9448-9422)
- İrem İşlek (ORCID: https://orcid.org/0000-0003-0897-5809)
- Çağla Çığ Karaman
- Mehmet Baysan (ORCID: https://orcid.org/0000-0001-7359-2965)
- Serkan Uysal
Institutions
- Turkish Society of Hematology (TR)
- Boğaziçi University (TR)
- Aselsan (Turkey) (TR)
Publication Details
- Journal
- Frontiers in Big Data
- Published
- 2025-07-21
- DOI
- https://doi.org/10.3389/fdata.2025.1611389
- Citations
- 5
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 12.40