---
title: "Who cites Dit-Yan Yeung — 328 papers of our library"
description: "328 papers of the Elamur Research library cite the works of Dit-Yan Yeung, found in their bibliographies; the most cited first."
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---
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# Who cites Dit-Yan Yeung

332 citations of their works from 328 papers of our library (of the 149,439 whose bibliographies we read) · 48 with a page here, the most cited first · [← Dit-Yan Yeung](https://md.research.elamur.ai/free/en/authors/dit-yan-yeung/)

1. **[Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization](https://md.research.elamur.ai/free/en/papers/selvaraju-2016-grad-cam-visual-explanations-deep/) [International Journal of Computer Vision](https://md.research.elamur.ai/free/en/venues/international-journal-of-computer-vision/)**Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, et al.*2016 · 6,394 citations*
2. [**A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly arXiv:2312.02003**Yifan Yao, Jinhao Duan, Kaidi Xu, et al.*2023 · 1,186 citations*](https://md.research.elamur.ai/free/en/papers/yao-2023-survey-large-language-model-llm/)
3. **[Bias and Fairness in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.*2023 · 1,082 citations*
4. **[Social Bias Frames: Reasoning about Social and Power Implications of Language](https://md.research.elamur.ai/free/en/papers/sap-2020-social-bias-frames-reasoning-about/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Maarten Sap, Saadia Gabriel, Lianhui Qin, et al.*2020 · 684 citations*
5. **[BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset](https://md.research.elamur.ai/free/en/papers/ji-2023-beavertails-towards-improved-safety-alignment/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jiaming Ji, Mickel Liu, Juntao Dai, et al.*2023 · 362 citations*
6. **[Toxicity in chatgpt: Analyzing persona-assigned language models](https://md.research.elamur.ai/free/en/papers/deshpande-2023-toxicity-chatgpt-analyzing-persona-assigned/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.*2023 · 353 citations*
7. [**Challenges and Applications of Large Language Models arXiv:2307.10169**Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.*2023 · 301 citations*](https://md.research.elamur.ai/free/en/papers/kaddour-2023-challenges-applications-large-language-models/)
8. [**TrustLLM: Trustworthiness in Large Language Models arXiv:2401.05561**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 237 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
9. [**HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and Inclusion Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media**Bharathi Raja Chakravarthi*2020 · 211 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-hopeedi-multilingual-hope-speech-detection/)
10. **[Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts](https://md.research.elamur.ai/free/en/papers/guo-2022-auto-debias-debiasing-masked-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yue Guo, Yi Yang, Ahmed Abbasi*2022 · 191 citations*
11. **[CultureLLM: Incorporating Cultural Differences into Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-culturellm-incorporating-cultural-differences-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Cheng Li, Mengzhou Chen, Jindong Wang, et al.*2024 · 162 citations*
12. **[Probing Pre-Trained Language Models for Cross-Cultural Differences in Values](https://md.research.elamur.ai/free/en/papers/arora-2023-probing-pre-trained-language-models/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Arnav Arora, Lucie-aimée Kaffee, Isabelle Augenstein*2023 · 156 citations*
13. **[Language Model Behavior: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/chang-2024-language-model-behavior-comprehensive-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Tyler A. Chang, Benjamin K. Bergen*2024 · 148 citations*
14. [**Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast arXiv:2211.02556**Kaifeng Bi, Lingxi Xie, Hengheng Zhang, et al.*2022 · 133 citations*](https://md.research.elamur.ai/free/en/papers/bi-2022-pangu-weather-3d-high/)
15. **[Knowledge of cultural moral norms in large language models](https://md.research.elamur.ai/free/en/papers/ramezani-2023-knowledge-cultural-moral-norms-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aida Ramezani, Yang Xu*2023 · 120 citations*
16. **[Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech](https://md.research.elamur.ai/free/en/papers/mubarak-2022-emojis-anchors-detect-arabic-offensive/) [Natural Language Engineering](https://md.research.elamur.ai/free/en/venues/natural-language-engineering/)**Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury*2022 · 96 citations*
17. **[Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey](https://md.research.elamur.ai/free/en/papers/kumar-2023-language-generation-models-can-cause/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.*2023 · 90 citations*
18. [**Explore, Establish, Exploit: Red Teaming Language Models from Scratch arXiv:2306.09442**Stephen Casper, Jason Lin, Joe Kwon, et al.*2023 · 52 citations*](https://md.research.elamur.ai/free/en/papers/casper-2023-explore-establish-exploit-red-teaming/)
19. **[AlGhafa Evaluation Benchmark for Arabic Language Models](https://md.research.elamur.ai/free/en/papers/almazrouei-2023-alghafa-evaluation-benchmark-arabic-language/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, et al.*2023 · 46 citations*
20. **[Sociodemographic Bias in Language Models: A Survey and Forward Path](https://md.research.elamur.ai/free/en/papers/gupta-2023-sociodemographic-bias-language-models-survey/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Vipul Gupta, Pranav Narayanan Venkit, Shomir Wilson, et al.*2023 · 40 citations*
21. **[So Hateful! Building a Multi-Label Hate Speech Annotated Arabic Dataset](https://md.research.elamur.ai/free/en/papers/zaghouani-2024-so-hateful-building-multi-label/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Wajdi Zaghouani, Hamdy Mubarak, Md. Rafiul Biswas*2024 · 33 citations*
22. [**Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming arXiv:2501.18837**Mrinank Sharma, Meg Tong, Jesse Mu, et al.*2025 · 29 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2025-constitutional-classifiers-defending-against-universal/)
23. **[A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection](https://md.research.elamur.ai/free/en/papers/salawu-2021-large-scale-english-multi-label/) [Workshop on Online Abuse and Harms](https://md.research.elamur.ai/free/en/venues/woah/)**Semiu Salawu, Jo Lumsden, Yulan He*2021 · 22 citations*
24. **[AlexU-AIC at Arabic Hate Speech 2022: Contrast to Classify](https://md.research.elamur.ai/free/en/papers/shapiro-2022-alexu-aic-arabic-hate-speech/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ahmad Shapiro, Ayman Khalafallah, Marwan Torki*2022 · 20 citations*
25. **[Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/abuzayed-2020-quick-simple-approach-detecting-hate/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abeer Abuzayed, Tamer Elsayed*2020 · 18 citations*
26. **[Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification](https://md.research.elamur.ai/free/en/papers/alkhamissi-2022-meta-ai-arabic-hate-speech/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Badr AlKhamissi, Mona Diab*2022 · 13 citations*
27. **[Exploring Amharic Hate Speech Data Collection and Classification Approaches](https://md.research.elamur.ai/free/en/papers/ayele-2023-exploring-amharic-hate-speech-data/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Abinew Ali Ayele, Seid Muhie Yimam, Tadesse Destaw Belay, et al.*2023 · 12 citations*
28. **[Estimating the Level of Dialectness Predicts Inter-annotator Agreement in Multi-dialect Arabic Datasets](https://md.research.elamur.ai/free/en/papers/keleg-2024-estimating-level-dialectness-predicts-inter/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amr Keleg, Walid Magdy, Sharon Goldwater*2024 · 6 citations*
29. **[LLM Alignment for the Arabs: A Homogenous Culture or Diverse Ones](https://md.research.elamur.ai/free/en/papers/keleg-2025-llm-alignment-arabs-homogenous-culture/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Amr Keleg*2025 · 5 citations*
30. **[UPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble Models](https://md.research.elamur.ai/free/en/papers/paula-2022-upv-arabic-hate-speech-2022/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Angel Felipe Magnossão de Paula, Paolo Rosso, Imene Bensalem, et al.*2022 · 5 citations*
31. **[A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English](https://md.research.elamur.ai/free/en/papers/baumler-2025-survey-machine-learning-models-datasets/) [ACM Transactions on Knowledge Discovery from Data](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/)**Julian Baumler, Louis Blocher, Lars-Joel Frey, et al.*2025 · 4 citations*
32. [**Toxic language detection: a systematic review of Arabic datasets arXiv:2312.07228**Imene Bensalem, Paolo Rosso, Hanane Zitouni*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/bensalem-2023-toxic-language-detection-systematic-review/)
33. **[Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering](https://md.research.elamur.ai/free/en/papers/zhao-2026-denoising-concept-vectors-sparse-autoencoders/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyan Zhao, Xuansheng Wu, Fan Yang, et al.*2026 · 3 citations*
34. **[Aligned Probing: Relating Toxic Behavior and Model Internals](https://md.research.elamur.ai/free/en/papers/waldis-2026-aligned-probing-relating-toxic-behavior/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Andreas Waldis, Vagrant Gautam, Anne Lauscher, et al.*2026 · 1 citation*
35. **[LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play Alignment](https://md.research.elamur.ai/free/en/papers/wang-2026-llm-kt-enhancing-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziwei Wang, Jie Zhou, Qin Chen, et al.*2026 · 1 citation*
36. [**Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification**Natalia Vanetik, Lior Liberov, Marina Litvak, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/vanetik-2025-safer-hebrew-communication-dataset-offensive/)
37. **[BanHADEX: Towards Explainable HAte Speech Detection in Bangla Using Human Annotated EXplanation](https://md.research.elamur.ai/free/en/papers/raquib-2026-banhadex-explainable-hate-speech-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Faisal Hossain Raquib, Akm Moshiur Rahman Mazumder, Md Fahim, et al.*2026*
38. **[Does Hate Transfer? Cross-Lingual Generalisation of Offensive Content Detection Across Indic Languages](https://md.research.elamur.ai/free/en/papers/reddy-2026-does-hate-transfer-cross-lingual/) [International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security](https://md.research.elamur.ai/free/en/venues/nlpaics/)**Purandhar M. Reddy, Sara Renjit*2026*
39. **[From Form to Meaning: Interlingua Sense-Alignment of Offensive Language with LLMs](https://md.research.elamur.ai/free/en/papers/roussopoulou-2026-form-meaning-interlingua-sense-alignment/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Maria Alexandra Roussopoulou, Stella Markantonatou*2026*
40. **[HACS-TL: Cross-Script Transfer Learning for Hausa Ajami Hate Speech Detection Using Transformer-Based Architecture](https://md.research.elamur.ai/free/en/papers/bichi-2026-hacs-tl-cross-script-transfer/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Abdulkadir Shehu Bichi, Muqaddar Ali, Prashant Sharma, et al.*2026*
41. **[OBSIDIAN: An OSINT-Driven NLP Framework for Detecting Cyber-Physical Threats in Arabic Social Media](https://md.research.elamur.ai/free/en/papers/almalki-2026-obsidian-osint-driven-nlp-framework/) [International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security](https://md.research.elamur.ai/free/en/venues/nlpaics/)**Abdullah Saeed Almalki, Salmane Chafik, Saad Ezzini*2026*
42. **[QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion Task](https://md.research.elamur.ai/free/en/papers/sosto-2026-queergen-how-llms-reflect-societal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mae Sosto, Delfina S. Martinez Pandiani, Laura Hollink*2026*
43. **[Toward Dialect-Aware Safety Evaluation for Arabic Large Language Models](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-dialect-aware-safety-evaluation-arabic/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Wajdi Zaghouani*2026*
44. **[Tracing Mathematical Proficiency Through Problem-Solving Processes](https://md.research.elamur.ai/free/en/papers/park-2026-tracing-mathematical-proficiency-through-problem/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jungyang Park, Suho Kang, Jaewoo Park, et al.*2026*
45. **[When Words Wear Masks: Detecting Malicious Intents and Hostile Impacts of Online Hate Speech](https://md.research.elamur.ai/free/en/papers/singhal-2026-when-words-wear-masks-detecting/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Priyansh Singhal, Piyush Joshi*2026*
46. [**Fine-Grained Arabic Offensive Language Classification with Taxonomy, Sentiment, and Emotions Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models**Natalia Vanetik, Marina Litvak, Chaya Liebeskind*2025*](https://md.research.elamur.ai/free/en/papers/vanetik-2025-fine-grained-arabic-offensive-language/)
47. [**Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets arXiv:2405.11282**Amr Keleg, Walid Magdy, Sharon Goldwater*2024*](https://md.research.elamur.ai/free/en/papers/keleg-2024-estimating-level-dialectness-predicts-interannotator/)
48. **[Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)](https://md.research.elamur.ai/free/en/papers/wang-2022-performance-comparison-deep/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.*2022*

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