Who cites «Automated Annotation with Generative AI Requires Validation»
- On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 237 citations
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- Humans or LLMs as the Judge? A Study on Judgement BiasesarXiv:2402.10669Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 78 citations
- Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?arXiv:2309.07462Rishav Hada, Varun Gumma, Adrian de Wynter, et al.2023 · 69 citations
- Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training LabelsarXiv:2406.17633Nicholas Pangakis, Samuel Wolken2024 · 42 citations
- Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic PhenomenaarXiv:2403.06965Leonie Weissweiler, Abdullatif Koksal, Hinrich Schutze2024 · 10 citations
- Uncovering Intervention Opportunities for Suicide Prevention with Language Model AssistantsAnnual Meeting of the Association for Computational Linguistics (ACL)Jaspreet Ranjit, Hyundong Justin Cho, Claire J. Smerdon, et al.2026 · 1 citation
- AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey MotivationarXiv:2506.14634 · Survey Research Methods (2025)Leah von der Heyde, Anna-Carolina Haensch, Bernd Weiß, et al.2025 · 1 citation
- Biases in Large Language Model-Elicited Text: A Case Study in Natural Language InferenceInternational Conference on Computational Linguistics (COLING)Grace Proebsting, Adam Poliak2025 · 1 citation
- Multi-Agent Interactive Question Generation Framework for Long Document UnderstandingarXiv:2507.20145Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, et al.2025 · 1 citation
- Can Emotions Signal Gender? Investigating Implicit Cues in Human and LLM Translations of Amazon ReviewsWorkshop on Gender-Inclusive Translation TechnologiesShushen Manakhimova, Ekaterina Lapshinova-Koltunski2026
- Rethinking Gender Annotation for Bias Evaluation in Machine Translation: Can LLMs Improve Reliability?Workshop on Gender-Inclusive Translation TechnologiesChiara Manna, Argentina Anna Rescigno, Eva Vanmassenhove2026
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