🔗 Who cites «The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs»

29 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs»

1. Enhancing Automated Interpretability with Output-Centric Feature DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Yoav Gur-Arieh, Roy Mayan, Chen Agassy, et al.2025 · 13 citations
2. Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data SelectionFindings of the Association for Computational LinguisticsJoe Stacey, Lisa Alazraki, Aran Ubhi, et al.2026 · 1 citation
3. When LLMs Annotate: Reliability Challenges in Low-Resource NLIWorkshop on Language Models for Low-Resource LanguagesSolmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana2026 · 1 citation
4. BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German LawarXiv:2605.28183Sebastian Nagl, Ann-Kristin Mayrhofer, Martin Heidebach, et al.2026
5. Don't ‘Well, Actually' Me Unless You Know What You're Talking About: Weak Presupposition Verification Degrades General QA PerformancearXiv:2608.06539Shenran Wang, Vered Shwartz, Hila Gonen2026
6. How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response DraftingAnnual Meeting of the Association for Computational Linguistics (ACL)Parker Seegmiller, Joseph Gatto, Sarah E. Greer, et al.2026
7. Human vs LLM in Conversational Repair Annotation: A New Resource and Comparative StudyLanguage Resources and Evaluation Conference (LREC)Anh Ngo, Nicolas Rollet, Catherine Pelachaud, et al.2026

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

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