🧑‍🔬 Who cites Tristan Thrush

276 citations of their works from 272 papers of our library (of the 141,840 whose bibliographies we read) · 30 with a page here, the most cited first · ← Tristan Thrush

1. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,581 citations
2. ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, et al.2022 · 571 citations
3. BBQ: A hand-built bias benchmark for question answeringFindings of the Association for Computational LinguisticsAlicia Parrish, Angelica Chen, Nikita Nangia, et al.2022 · 488 citations
4. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
5. Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language DetectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Maarten Sap, Swabha Swayamdipta, Laura Vianna, et al.2022 · 365 citations
6. Large Language Models Struggle to Learn Long-Tail KnowledgearXiv:2211.08411Nikhil Kandpal, Haikang Deng, Adam Roberts, et al.2022 · 353 citations
7. ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersConference on Neural Information Processing Systems (NeurIPS)Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 302 citations
8. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
9. A Holistic Approach to Undesired Content Detection in the Real WorldProceedings of the AAAI Conference on Artificial IntelligenceTodor Markov, Chong Zhang, Sandhini Agarwal, et al.2022 · 254 citations
10. XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language ModelsarXiv:2308.01263Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.2023 · 227 citations
11. Two Contrasting Data Annotation Paradigms for Subjective NLP TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Paul Röttger, Bertie Vidgen, Dirk Hovy, et al.2022 · 219 citations
12. HateCheck: Functional Tests for Hate Speech Detection ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.2021 · 203 citations
13. What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
14. SemEval-2023 Task 10: Explainable Detection of Online SexismInternational Workshop on Semantic Evaluation (SemEval)Hannah Kirk, Wenjie Yin, Bertie Vidgen, et al.2023 · 185 citations
15. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsConference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
16. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesLanguage Resources and Evaluation Conference (LREC)Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 180 citations
17. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 178 citations
18. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 164 citations
19. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
20. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
21. Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate SpeechAnnual Meeting of the Association for Computational Linguistics (ACL)Margherita Fanton, Helena Bonaldi, Serra Sinem Tekiroğlu, et al.2021 · 118 citations
22. Investigating Reasons for Disagreement in Natural Language InferenceTransactions of the Association for Computational Linguistics (TACL)Nan-Jiang Jiang, Marie-Catherine de Marneffe2022 · 104 citations
23. BLOOM+1: Adding Language Support to BLOOM for Zero-Shot PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, et al.2023 · 101 citations
24. NLPositionality: Characterizing Design Biases of Datasets and ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Sebastin Santy, Jenny Liang, Ronan Le Bras, et al.2023 · 88 citations
25. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 85 citations
26. Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOMarXiv:2303.01911Rachel Bawden, François Yvon2023 · 85 citations
27. He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on PragmaticsNanjiang Jiang, Marie-Catherine de Marneffe2021 · 21 citations
28. Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar2022 · 13 citations
29. IEKG: A Commonsense Knowledge Graph for Idiomatic ExpressionsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, et al.2023 · 11 citations
30. Explainable AI for Ethical Counter Speech Generation in Hate Speech MitigationLanguage Resources and Evaluation Conference (LREC)Ashiful Islam Ridoy, Mohammed Faisal, Yogesh Kumar, et al.2026

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