---
title: "Who cites Joe Barrow — page 2 — 536 papers of our library"
description: "536 papers of the Elamur Research library cite the works of Joe Barrow, found in their bibliographies · page 2 of 2 · 101–127; the most cited first."
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---
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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) · 127 with a page here, the most cited first · page 2 of 2 · 101–127 · [← Joe Barrow](https://md.research.elamur.ai/free/en/authors/joe-barrow/)

[← prev](https://md.research.elamur.ai/free/en/authors/joe-barrow/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/joe-barrow/cited-by/) **2**

101. **[GPT-NL Public Corpus: A Permissively Licensed, Dutch-First Dataset for LLM Pre-training](https://md.research.elamur.ai/free/en/papers/oort-2026-gpt-nl-public-corpus-permissively/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jesse J. Van Oort, Frank Brinkkemper, Erik de Graaf, et al.*2026*
102. **[How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*
103. **[Identity-Robust Language Model Generation via Content Integrity Preservation](https://md.research.elamur.ai/free/en/papers/zhang-2026-identity-robust-language-model-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miao Zhang, Kelly Chen, Mehrab Tanjim, et al.*2026*
104. **[Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health](https://md.research.elamur.ai/free/en/papers/ngo-2026-investigating-gender-stereotypes-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Trung Hieu Ngo, Adrien Bazoge, Solen Quiniou, et al.*2026*
105. [**JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew**Itay Razumenko, Arnon Sturm, Nir Grinberg*2026*](https://md.research.elamur.ai/free/en/papers/razumenko-2026-judgemenot-personalizing-large-language-models/)
106. **[Lexical Innovation in Business Colour Idioms: Evidence from Large Language Models in Five Languages](https://md.research.elamur.ai/free/en/papers/oleskeviciene-2026-lexical-innovation-business-colour-idioms/) [Workshop Neology and Large Language Models](https://md.research.elamur.ai/free/en/venues/neollm/)**Giedre Valunaite Oleskeviciene, Ágnes Abuczki, Ganit Richter, et al.*2026*
107. **[On the Cultural Anachronism and Temporal Reasoning in Vision Language Models](https://md.research.elamur.ai/free/en/papers/ranjan-2026-cultural-anachronism-temporal-reasoning-vision/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mukul Ranjan, Prince Jha, Khushboo Kumari, et al.*2026*
108. **[Optimizer Choice and Calibration for QARiB on Arabic-Script Social Media Offensive Language Detection](https://md.research.elamur.ai/free/en/papers/elshokry-2026-optimizer-choice-calibration-qarib-arabic/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Auda Elshokry, Mohammed Alhanjouri*2026*
109. **[OrthoEdit: Principled and Stable Knowledge Editing via Orthogonal Subspace Projection](https://md.research.elamur.ai/free/en/papers/qiao-2026-orthoedit-principled-stable-knowledge-editing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Shanbao Qiao, Xuebing Liu, Akshat Gupta, et al.*2026*
110. **[Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training](https://md.research.elamur.ai/free/en/papers/liu-2026-perplexity-aware-data-scaling-law/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Liu, Hao Zhu, Xiaoyan Yang, et al.*2026*
111. **[Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups](https://md.research.elamur.ai/free/en/papers/liu-2026-probing-social-identity-bias-chinese/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Geng Liu, Li Feng, Junjie Mu, et al.*2026*
112. **[Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not Stable](https://md.research.elamur.ai/free/en/papers/tang-2026-probing-plasticity-correlation-llm-value/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenheng Tang, Qihua Pan, Jingya Shen, et al.*2026*
113. **[Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/asgari-2026-quantifying-metric-model-agreement-bias/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arash Asgari, Huan Wu, Amirreza Naziri, et al.*2026*
114. **[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*
115. **[Rethinking Research on Stereotypes: An Analysis through Social Psychological and Computational Perspectives](https://md.research.elamur.ai/free/en/papers/shejole-2026-rethinking-research-stereotypes-analysis-through/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaustubh Shivshankar Shejole, Pushpak Bhattacharyya*2026*
116. **[Silencing the Guardrails: Inference-Time Jailbreaking via Dynamic Contextual Representation Ablation](https://md.research.elamur.ai/free/en/papers/xing-2026-silencing-guardrails-inference-time-jailbreaking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenpeng Xing, Moran Fang, Guangtai Wang, et al.*2026*
117. **[Specialization without Sparsity: Efficient and Expressive Split-Path Experts for LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/liu-2026-specialization-without-sparsity-efficient-expressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ganghao Liu, Qin Zhou, Zhe Wang, et al.*2026*
118. **[Thesis Proposal: A Multi-Agent System for Ontology-Based Perspective-Aware Knowledge Extraction](https://md.research.elamur.ai/free/en/papers/miranda-2026-thesis-proposal-multi-agent-system/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Luiz Do Valle Miranda, Grzegorz J. Nalepa*2026*
119. **[Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated Neurons](https://md.research.elamur.ai/free/en/papers/munoz-2026-reliable-ai-fairness-challenges-steering/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ismael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago*2026*
120. **[TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense](https://md.research.elamur.ai/free/en/papers/liu-2026-trajguard-streaming-hidden-state-trajectory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Liu, Xiaolei Liu, Xingyu Li, et al.*2026*
121. **[TryggLLM: A Benchmark for Evaluating LLM Safety in Norwegian](https://md.research.elamur.ai/free/en/papers/touileb-2026-tryggllm-benchmark-evaluating-llm-safety/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Samia Touileb, Truls Pedersen, Isabell Stinessen Haugen*2026*
122. **[Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes](https://md.research.elamur.ai/free/en/papers/myers-2026-uncovering-hidden-violent-tendencies-llms/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Quintin Myers, Yanjun Gao*2026*
123. **[When Debiasing Backfires: Counterintuitive Side Effects of Preprocessing-Based Stereotype Mitigation](https://md.research.elamur.ai/free/en/papers/zheng-2026-when-debiasing-backfires-counterintuitive-side/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yahan Zheng, John J. Guerrerio, Soroush Vosoughi, et al.*2026*
124. [**WinoQueer-NL: Assessing Bias in Dutch Language Models toward LGBTQ+ Identities arXiv:2609.02651**Jiska Beuk, Gerasimos Spanakis*2026*](https://md.research.elamur.ai/free/en/papers/beuk-2026-winoqueer-nl-assessing-bias-dutch/)
125. **[“Sorry, Can't Help You”: How Large Language Models Judge Failures to Help Across Languages](https://md.research.elamur.ai/free/en/papers/nair-2026-sorry-can-t-help-you/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Pavithra P M Nair, Gilad Gressel, Krishnashree Achuthan*2026*
126. **[“Yuki Gets Sushi, David Gets Steak?”: Uncovering Gender and Racial Biases in LLM-Based Meal Recommendations](https://md.research.elamur.ai/free/en/papers/wei-2026-yuki-gets-sushi-david-gets/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xuefeng Wei, Xuan Zhou, Yusuke Sakai, et al.*2026*
127. **[From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models](https://md.research.elamur.ai/free/en/papers/galea-2025-measurement-mitigation-exploring-transferability-debiasing/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Melanie Galea, Claudia Borg*2025*

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