arXiv:2509.03647v2 Announce Type: replace-cross Abstract: Large language models (LLMs) increasingly serve as automated evaluators, yet they suffer from "self-preference bias": a tendency to favor their own outputs over those of other models. This bias undermines fairness and reliability in evaluation pipelines, particularly for tasks like…
Thank you for reading this post, don't forget to subscribe!
Source: cs.AI updates on arXiv.org
Automatically aggregated summary — full article and all rights belong to the original publisher.