Batched Self-Consistency Improves LLM Relevance Assessment and Ranking. Korikov, A., Du, P., Sanner, S., & Rekabsaz, N. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP-25), pages 32675–32691, Suzhou, China, November, 2025. Association for Computational Linguistics.
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