--- title: "Who cites Automated Annotation with — 38 citing papers" description: "38 papers of the Elamur Research library cite «Automated Annotation with Generative AI Requires Validation», found in their bibliographies…" canonical: "https://research.elamur.ai/free/en/papers/pangakis-2023-automated-annotation-generative-ai-requires/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/pangakis-2023-automated-annotation-generative-ai-requires/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Automated Annotation with Generative AI Requires…](https://md.research.elamur.ai/free/en/papers/pangakis-2023-automated-annotation-generative-ai-requires/) / cited by # Who cites «Automated Annotation with Generative AI Requires Validation» 38 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · [← back to «Automated Annotation with Generative AI Requires Validation»](https://md.research.elamur.ai/free/en/papers/pangakis-2023-automated-annotation-generative-ai-requires/) 1. **[On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey](https://md.research.elamur.ai/free/en/papers/long-2024-llms-driven-synthetic-data-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lin Long, Rui Wang, Ruixuan Xiao, et al.*2024 · 237 citations* 2. **[Humans or LLMs as the Judge? A Study on Judgement Bias](https://md.research.elamur.ai/free/en/papers/chen-2024-humans-or-llms-as-judge/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.*2024 · 133 citations* 3. [**Humans or LLMs as the Judge? A Study on Judgement Biases arXiv:2402.10669**Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.*2024 · 78 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-humans-llms-judge-study-judgement/) 4. [**Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation? arXiv:2309.07462**Rishav Hada, Varun Gumma, Adrian de Wynter, et al.*2023 · 69 citations*](https://md.research.elamur.ai/free/en/papers/hada-2023-large-language-model-based-evaluators/) 5. [**Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels arXiv:2406.17633**Nicholas Pangakis, Samuel Wolken*2024 · 42 citations*](https://md.research.elamur.ai/free/en/papers/pangakis-2024-knowledge-distillation-automated-annotation-supervised/) 6. [**Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic Phenomena arXiv:2403.06965**Leonie Weissweiler, Abdullatif Koksal, Hinrich Schutze*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/weissweiler-2024-hybrid-human-llm-corpus-construction/) 7. **[Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants](https://md.research.elamur.ai/free/en/papers/ranjit-2026-uncovering-intervention-opportunities-suicide-prevention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jaspreet Ranjit, Hyundong Justin Cho, Claire J. Smerdon, et al.*2026 · 1 citation* 8. [**AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation arXiv:2506.14634 · Survey Research Methods (2025)**Leah von der Heyde, Anna-Carolina Haensch, Bernd Weiß, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/heyde-2025-ain-t-nothing-but-survey/) 9. **[Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/proebsting-2025-biases-large-language-model-elicited/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Grace Proebsting, Adam Poliak*2025 · 1 citation* 10. [**Multi-Agent Interactive Question Generation Framework for Long Document Understanding arXiv:2507.20145**Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wang-2025-multi-agent-interactive-question-generation/) 11. **[Can Emotions Signal Gender? Investigating Implicit Cues in Human and LLM Translations of Amazon Reviews](https://md.research.elamur.ai/free/en/papers/manakhimova-2026-can-emotions-signal-gender-investigating/) [Workshop on Gender-Inclusive Translation Technologies](https://md.research.elamur.ai/free/en/venues/gitt/)**Shushen Manakhimova, Ekaterina Lapshinova-Koltunski*2026* 12. **[Multi-Source Emotion Annotation in Children's Language: When LLM Consensus Diverges from Human Judgment](https://md.research.elamur.ai/free/en/papers/said-2026-multi-source-emotion-annotation-children/) [Computational Affective Science (CAS) @ LREC](https://md.research.elamur.ai/free/en/venues/cas/)**Farida Said, Jeanne Villaneau*2026* 13. **[Rethinking Gender Annotation for Bias Evaluation in Machine Translation: Can LLMs Improve Reliability?](https://md.research.elamur.ai/free/en/papers/manna-2026-rethinking-gender-annotation-bias-evaluation/) [Workshop on Gender-Inclusive Translation Technologies](https://md.research.elamur.ai/free/en/venues/gitt/)**Chiara Manna, Argentina Anna Rescigno, Eva Vanmassenhove*2026* 25 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/pangakis-2023-automated-annotation-generative-ai-requires/) — Automated Annotation with Generative AI Requires Validation