🔗 Who cites «Calibrating LLM-Based Evaluator»

63 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Calibrating LLM-Based Evaluator»

1. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 297 citations
2. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsHaitao Li, Qian Dong, Junjie Chen, et al.2024 · 189 citations
3. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
4. LooGLE: Can Long-Context Language Models Understand Long Contexts?Jiaqi Li, Mengmeng Wang, Zilong Zheng, et al.2023 · 163 citations
5. LLM-based NLG Evaluation: Current Status and ChallengesMingqi Gao, Xinyu Hu, Xunjian Yin, et al.2025 · 152 citations
6. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model EvaluatorsYinhong Liu, Han Zhou, Zhijiang Guo, et al.2024 · 75 citations
7. Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QAMinzheng Wang, Longze Chen, Fu Cheng, et al.2024 · 71 citations

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

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