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Who cites Tong Yu

490 citations of their works from 488 papers of our library (of the 149,439 whose bibliographies we read) · 114 with a page here, the most cited first · page 2 of 2 · 101–114 · ← Tong Yu

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  1. Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social GroupsFindings of the Association for Computational LinguisticsGeng Liu, Li Feng, Junjie Mu, et al.2026
  2. Quantifying Metric and Model Agreement in Bias Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arash Asgari, Huan Wu, Amirreza Naziri, et al.2026
  3. QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion TaskFindings of the Association for Computational LinguisticsMae Sosto, Delfina S. Martinez Pandiani, Laura Hollink2026
  4. Rethinking Research on Stereotypes: An Analysis through Social Psychological and Computational PerspectivesFindings of the Association for Computational LinguisticsKaustubh Shivshankar Shejole, Pushpak Bhattacharyya2026
  5. Specialization without Sparsity: Efficient and Expressive Split-Path Experts for LLM Fine-TuningFindings of the Association for Computational LinguisticsGanghao Liu, Qin Zhou, Zhe Wang, et al.2026
  6. Thesis Proposal: A Multi-Agent System for Ontology-Based Perspective-Aware Knowledge ExtractionConference of the European Chapter of the Association for Computational Linguistics (EACL)Luiz Do Valle Miranda, Grzegorz J. Nalepa2026
  7. Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated NeuronsLanguage Resources and Evaluation Conference (LREC)Ismael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago2026
  8. TryggLLM: A Benchmark for Evaluating LLM Safety in NorwegianLanguage Resources and Evaluation Conference (LREC)Samia Touileb, Truls Pedersen, Isabell Stinessen Haugen2026
  9. Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral VignettesLanguage Resources and Evaluation Conference (LREC)Quintin Myers, Yanjun Gao2026
  10. When Debiasing Backfires: Counterintuitive Side Effects of Preprocessing-Based Stereotype MitigationFindings of the Association for Computational LinguisticsYahan Zheng, John J. Guerrerio, Soroush Vosoughi, et al.2026
  11. WinoQueer-NL: Assessing Bias in Dutch Language Models toward LGBTQ+ IdentitiesarXiv:2609.02651Jiska Beuk, Gerasimos Spanakis2026
  12. “Sorry, Can't Help You”: How Large Language Models Judge Failures to Help Across LanguagesWorkshop on Cross-Cultural Considerations in NLPPavithra P M Nair, Gilad Gressel, Krishnashree Achuthan2026
  13. “Yuki Gets Sushi, David Gets Steak?”: Uncovering Gender and Racial Biases in LLM-Based Meal RecommendationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Xuefeng Wei, Xuan Zhou, Yusuke Sakai, et al.2026
  14. From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language ModelsWorkshop on Gender Bias in Natural Language ProcessingMelanie Galea, Claudia Borg2025

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