--- title: "Who cites The Effectiveness of LLMs as — 41 citing papers" description: "41 papers of the Elamur Research library cite «The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of…" canonical: "https://research.elamur.ai/free/en/papers/pavlovic-2024-effectiveness-llms-annotators-comparative-overview/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/pavlovic-2024-effectiveness-llms-annotators-comparative-overview/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [The Effectiveness of LLMs as Annotators: A…](https://md.research.elamur.ai/free/en/papers/pavlovic-2024-effectiveness-llms-annotators-comparative-overview/) / cited by # 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»](https://md.research.elamur.ai/free/en/papers/pavlovic-2024-effectiveness-llms-annotators-comparative-overview/) 1. [**LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks arXiv:2406.18403**Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.*2024 · 141 citations*](https://md.research.elamur.ai/free/en/papers/bavaresco-2024-llms-instead-human-judges-large/) 2. **[The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs](https://md.research.elamur.ai/free/en/papers/calderon-2025-alternative-annotator-test-llm-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nitay Calderon, Roi Reichart, Rotem Dror*2025 · 52 citations* 3. **[M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/feng-2025-m-mad-multidimensional-multi-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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?](https://md.research.elamur.ai/free/en/papers/chen-2024-seeing-big-through-small-can/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Beiduo 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 NLI](https://md.research.elamur.ai/free/en/papers/chen-2025-rose-any-other-name-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Beiduo Chen, Siyao Peng, Anna Korhonen, et al.*2025 · 9 citations* 6. **[Analysis of LLM as a grammatical feature tagger for African American English](https://md.research.elamur.ai/free/en/papers/porwal-2025-analysis-llm-as-grammatical-feature/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rahul Porwal, Alice Rozet, Jotsna Gowda, et al.*2025 · 4 citations* 7. **[How Long Reasoning Chains Influence LLMs' Judgment of Answer Factuality](https://md.research.elamur.ai/free/en/papers/tu-2026-how-long-reasoning-chains-influence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minzhu Tu, Shiyu Ni, Keping Bi*2026 · 3 citations* 8. **[Beyond English and Evasion: A Human-Annotated Multi-Domain Benchmark for High-Stakes LLM Safety Evaluation in Chinese](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-beyond-english-evasion-human-annotated/) [Workshop on the Role of Resources in the Age of Large Language Models](https://md.research.elamur.ai/free/en/venues/resourceful/)**Wajdi Zaghouani, Kholoud Khalil Aldous, Yicheng Gao*2026 · 2 citations* 9. **[SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/panahi-2026-synthllm-llm-based-scalable-synthetic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher*2026 · 1 citation* 10. **[Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models](https://md.research.elamur.ai/free/en/papers/su-2026-actors-frames-arguments-multi-decade/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruiran Su, Markus Leippold, Janet B. Pierrehumbert*2026* 11. **[Annotating Indian Regional Biases using Large Language Models: Evaluation and Analysis](https://md.research.elamur.ai/free/en/papers/panda-2026-annotating-indian-regional-biases-large/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Debasmita Panda, Akash Anil, Neelesh Kumar Shukla*2026* 12. **[Challenging the Myth: A Research Arc on LLMs as Human Simulacra](https://md.research.elamur.ai/free/en/papers/munker-2026-challenging-myth-research-arc-llms/) [Big Picture v2: Crafting a Research Narrative](https://md.research.elamur.ai/free/en/venues/bigpicture/)**Simon Münker, Achim Rettinger, Damian Trilling*2026* 13. **[GSI:detect - A Perspectivist Approach to Gender Stereotypes Identification in Italian](https://md.research.elamur.ai/free/en/papers/testa-2026-gsi-detect-perspectivist-approach-gender/) [edition of NLPerspectives](https://md.research.elamur.ai/free/en/venues/nlperspectives/)**Davide Testa, Sofia Brenna, Manuela Speranza, et al.*2026* 14. **[Human vs LLM in Conversational Repair Annotation: A New Resource and Comparative Study](https://md.research.elamur.ai/free/en/papers/ngo-2026-human-vs-llm-conversational-repair/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/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 metrics](https://md.research.elamur.ai/free/en/papers/renaux-2026-llms-as-annotators-credibility-assessment/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Galadrielle Humblot-Renaux, Mohammad N. S. Jahromi, Rohat Bakuri-Jørgensen, et al.*2026* 16. **[Quality and Appropriateness of Large Text Datasets for Irish NLP](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026* 17. **[SALOMO: An Annotation Tool for Complex Annotation Tasks with a Large Number of Labels](https://md.research.elamur.ai/free/en/papers/menzner-2026-salomo-annotation-tool-complex-annotation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tim Menzner*2026* 18. **[Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints](https://md.research.elamur.ai/free/en/papers/moriyama-2026-task-assignment-meets-annotator-modeling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kei Moriyama, Kouta Nakayama, Yukino Baba*2026* 19. [**LLM Analysis of 150+ years of German Parliamentary Debates on Migration Reveals Shift from Post-War Solidarity to Anti-Solidarity in the Last Decade arXiv:2509.07274**Aida Kostikova, Ole Putz, Steffen Eger, et al.*2025*](https://md.research.elamur.ai/free/en/papers/kostikova-2025-llm-analysis-150-years-german/) 22 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/pavlovic-2024-effectiveness-llms-annotators-comparative-overview/) — The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation