🔗 Who cites «CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges»

13 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges»

1. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
2. LegalAgentBench: Evaluating LLM Agents in Legal DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Jingli Yang, et al.2025 · 62 citations
3. A Survey on Efficient Large Language Model Training: From Data-centric PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Junyu Luo, Bohan Wu, Xiao Luo, et al.2025 · 14 citations
4. Rethinking Gender Annotation for Bias Evaluation in Machine Translation: Can LLMs Improve Reliability?Workshop on Gender-Inclusive Translation TechnologiesChiara Manna, Argentina Anna Rescigno, Eva Vanmassenhove2026

9 more papers of our library cite it; they have no page here yet.

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