--- title: "Who cites Rebekah Tromble — 161 papers of our library" description: "161 papers of the Elamur Research library cite the works of Rebekah Tromble, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/rebekah-tromble/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rebekah-tromble/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Rebekah Tromble](https://md.research.elamur.ai/free/en/authors/rebekah-tromble/) / cited by # Who cites Rebekah Tromble 175 citations of their works from 161 papers of our library (of the 141,840 whose bibliographies we read) · 14 with a page here, the most cited first · [← Rebekah Tromble](https://md.research.elamur.ai/free/en/authors/rebekah-tromble/) 1. [**Improving alignment of dialogue agents via targeted human judgements arXiv:2209.14375**Amelia Glaese, Nat McAleese, Maja Trębacz, et al.*2022 · 352 citations*](https://md.research.elamur.ai/free/en/papers/glaese-2022-improving-alignment-dialogue-agents-targeted/) **[Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection](https://md.research.elamur.ai/free/en/papers/vidgen-2021-learning-worst-dynamically-generated-datasets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bertie Vidgen, Tristan Thrush, Zeerak Waseem, et al.*2021 · 320 citations* **[A Holistic Approach to Undesired Content Detection in the Real World](https://md.research.elamur.ai/free/en/papers/markov-2022-holistic-approach-undesired-content-detection/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Todor Markov, Chong Zhang, Sandhini Agarwal, et al.*2022 · 254 citations* [**XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models arXiv:2308.01263**Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.*2023 · 227 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2023-xstest-test-suite-identifying-exaggerated/) **[Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks](https://md.research.elamur.ai/free/en/papers/rottger-2022-two-contrasting-data-annotation-paradigms/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Paul Röttger, Bertie Vidgen, Dirk Hovy, et al.*2022 · 219 citations* **[HateCheck: Functional Tests for Hate Speech Detection Models](https://md.research.elamur.ai/free/en/papers/rottger-2021-hatecheck-functional-tests-hate-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.*2021 · 203 citations* **[SemEval-2023 Task 10: Explainable Detection of Online Sexism](https://md.research.elamur.ai/free/en/papers/kirk-2023-semeval-2023-task-10-explainable/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Hannah Kirk, Wenjie Yin, Bertie Vidgen, et al.*2023 · 185 citations* **[I Feel Offended, Don't Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language](https://md.research.elamur.ai/free/en/papers/caselli-2020-i-feel-offended-don-t/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.*2020 · 159 citations* **[Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets](https://md.research.elamur.ai/free/en/papers/fortuna-2020-toxic-hateful-offensive-or-abusive/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Paula Fortuna, Juan Soler, Leo Wanner*2020 · 157 citations* **[Introducing CAD: the Contextual Abuse Dataset](https://md.research.elamur.ai/free/en/papers/vidgen-2021-introducing-cad-contextual-abuse-dataset/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bertie Vidgen, Dong Nguyen, Helen Margetts, et al.*2021 · 147 citations* [**Identifying and Measuring Annotator Bias Based on Annotators' Demographic Characteristics Proceedings of the Fourth Workshop on Online Abuse and Harms**Hala Al Kuwatly, Maximilian Wich, Georg Groh*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/kuwatly-2020-identifying-measuring-annotator-bias-based/) **[Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech](https://md.research.elamur.ai/free/en/papers/fanton-2021-human-loop-data-collection-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Margherita Fanton, Helena Bonaldi, Serra Sinem Tekiroğlu, et al.*2021 · 118 citations* **[Offensive Language and Hate Speech Detection for Danish](https://md.research.elamur.ai/free/en/papers/sigurbergsson-2020-offensive-language-hate-speech-detection/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Gudbjartur Ingi Sigurbergsson, Leon Derczynski*2020 · 107 citations* 147 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/rebekah-tromble/) — Rebekah Tromble