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Who cites Joe Barrow

539 citations of their works from 536 papers of our library (of the 149,439 whose bibliographies we read) · 115 with a page here, the most cited first · page 2 of 2 · 101–115 · ← Joe Barrow

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  1. Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Liu, Hao Zhu, Xiaoyan Yang, et al.2026
  2. 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
  3. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026
  4. 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
  5. 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
  6. Rethinking Research on Stereotypes: An Analysis through Social Psychological and Computational PerspectivesFindings of the Association for Computational LinguisticsKaustubh Shivshankar Shejole, Pushpak Bhattacharyya2026
  7. 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
  8. 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
  9. 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
  10. TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak DefenseFindings of the Association for Computational LinguisticsCheng Liu, Xiaolei Liu, Xingyu Li, et al.2026
  11. TryggLLM: A Benchmark for Evaluating LLM Safety in NorwegianLanguage Resources and Evaluation Conference (LREC)Samia Touileb, Truls Pedersen, Isabell Stinessen Haugen2026
  12. Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral VignettesLanguage Resources and Evaluation Conference (LREC)Quintin Myers, Yanjun Gao2026
  13. WinoQueer-NL: Assessing Bias in Dutch Language Models toward LGBTQ+ IdentitiesarXiv:2609.02651Jiska Beuk, Gerasimos Spanakis2026
  14. “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
  15. “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

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