🔗 Who cites «Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization»

70 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization»

LLM-based NLG Evaluation: Current Status and ChallengesComputational LinguisticsMingqi Gao, Xinyu Hu, Xunjian Yin, et al.2025 · 152 citations
1. Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse ModelsarXiv:2404.18796Pat Verga, Sebastian Hofstatter, Sophia Althammer, et al.2024 · 134 citations
   FineSurE: Fine-grained Summarization Evaluation using LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hwanjun Song, Hang Su, Igor Shalyminov, et al.2024 · 91 citations
2. Large Language Models are Inconsistent and Biased EvaluatorsarXiv:2405.01724Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara2024 · 91 citations
3. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model EvaluatorsarXiv:2403.16950Yinhong Liu, Han Zhou, Zhijiang Guo, et al.2024 · 75 citations
   Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order PerturbationsLanguage Resources and Evaluation Conference (LREC)Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-are-not/cited-by/