🔗 Who cites «The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation»

41 papers of our library cite it (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← back to «The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation»

1. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksarXiv:2406.18403Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024 · 141 citations
2. The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitay Calderon, Roi Reichart, Rotem Dror2025 · 52 citations
3. M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, et al.2025 · 24 citations
4. “Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?Findings of the Association for Computational LinguisticsBeiduo Chen, Xinpeng Wang, Siyao Peng, et al.2024 · 18 citations
5. A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLIFindings of the Association for Computational LinguisticsBeiduo Chen, Siyao Peng, Anna Korhonen, et al.2025 · 9 citations
6. Analysis of LLM as a grammatical feature tagger for African American EnglishFindings of the Association for Computational LinguisticsRahul Porwal, Alice Rozet, Jotsna Gowda, et al.2025 · 4 citations
7. How Long Reasoning Chains Influence LLMs' Judgment of Answer FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Minzhu Tu, Shiyu Ni, Keping Bi2026 · 3 citations
8. Beyond English and Evasion: A Human-Annotated Multi-Domain Benchmark for High-Stakes LLM Safety Evaluation in ChineseWorkshop on the Role of Resources in the Age of Large Language ModelsWajdi Zaghouani, Kholoud Khalil Aldous, Yicheng Gao2026 · 2 citations
9. SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource LanguagesLanguage Resources and Evaluation Conference (LREC)Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher2026 · 1 citation
10. Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language ModelsFindings of the Association for Computational LinguisticsRuiran Su, Markus Leippold, Janet B. Pierrehumbert2026
11. Annotating Indian Regional Biases using Large Language Models: Evaluation and AnalysisJoint Conference on Lexical and Computational Semantics (*SEM)Debasmita Panda, Akash Anil, Neelesh Kumar Shukla2026
12. Challenging the Myth: A Research Arc on LLMs as Human SimulacraBig Picture v2: Crafting a Research NarrativeSimon Münker, Achim Rettinger, Damian Trilling2026
13. GSI:detect - A Perspectivist Approach to Gender Stereotypes Identification in Italianedition of NLPerspectivesDavide Testa, Sofia Brenna, Manuela Speranza, et al.2026
14. 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
15. LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metricsLinguistic Annotation Workshop (LAW)Galadrielle Humblot-Renaux, Mohammad N. S. Jahromi, Rohat Bakuri-Jørgensen, et al.2026
16. Quality and Appropriateness of Large Text Datasets for Irish NLPSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesAbigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.2026
17. SALOMO: An Annotation Tool for Complex Annotation Tasks with a Large Number of LabelsLanguage Resources and Evaluation Conference (LREC)Tim Menzner2026
18. Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL)Kei Moriyama, Kouta Nakayama, Yukino Baba2026
19. LLM Analysis of 150+ years of German Parliamentary Debates on Migration Reveals Shift from Post-War Solidarity to Anti-Solidarity in the Last DecadearXiv:2509.07274Aida Kostikova, Ole Putz, Steffen Eger, et al.2025

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

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/papers/pavlovic-2024-effectiveness-llms-annotators-comparative-overview/cited-by/