Large language models as judges: recent advances in LLM-based evaluation, critique, preference modeling, and feedback for text and code
Crossref DOI link: https://doi.org/10.1007/s10462-026-11652-0
Published Online: 2026-08-22
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nadăş, Mihai Dan https://orcid.org/0009-0003-3467-3262
Text and Data Mining valid from 2026-08-22
Accepted Manuscript valid from 2026-08-22
Article History
Received: 10 February 2026
Accepted: 9 July 2026
First Online: 22 August 2026
Declarations
Conflict of interest: The authors declare no conflict of interest.