--- title: "Joe Barrow — author profile and papers — Elamur Research" description: "Joe Barrow: 3 papers on Elamur Research (2023–2025), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/joe-barrow/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/joe-barrow/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Joe Barrow # Joe Barrow Joe Barrow has 3 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Franck Dernoncourt](https://md.research.elamur.ai/free/en/authors/franck-dernoncourt/), [Junda Wu](https://md.research.elamur.ai/free/en/authors/junda-wu/), [Ryan Aponte](https://md.research.elamur.ai/free/en/authors/ryan-aponte/). 3 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5034286014) · [**h-index 9**](https://openalex.org/authors/A5034286014) · [31 works](https://openalex.org/works?filter=author.id:A5034286014) · [966 citations](https://openalex.org/works?filter=author.id:A5034286014&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/joe-barrow/#papers) · [🔗 Cited 539 times in our library](https://md.research.elamur.ai/free/en/authors/joe-barrow/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2247](https://md.research.elamur.ai/free/en/paper-stars/page/23/#star-2247) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Joe+Barrow) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Joe+Barrow) · [dblp](https://dblp.org/search?q=Joe+Barrow) · [ACL Anthology](https://aclanthology.org/search/?q=Joe+Barrow) ## Affiliations [🏢**Adobe Systems** San Jose · United States 2020–2025 · 9 papers](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**University of Maryland, College Park** College Park · United States 2019–2021 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/joe-barrow/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/joe-barrow/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/joe-barrow/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Bias and Fairness in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/)** *(2023 · 1,082 citations)* Large language models learn from enormous, mostly uncurated web text. Along the way they absorb social biases and can even amplify them: stereotypes, toxic or exclusionary wording, and weak handling of some dialects. These harms fall hardest on groups that are already marginalized. This survey, accepted at… 2. **[A Survey of Small Language Models](https://md.research.elamur.ai/free/en/papers/nguyen-2024-survey-small-language-models/)** *(2024 · 31 citations)* Large language models perform well but need heavy compute, memory and data, so they usually run on centralized, specialized hardware. 3. **[From Selection to Generation: A Survey of LLM-based Active Learning](https://md.research.elamur.ai/free/en/papers/xia-2025-selection-generation-survey-llm-based/)** *(2025 · 22 citations)* Active learning (AL) traditionally lowers labeling effort by picking the most useful unlabeled examples with metrics such as uncertainty or diversity. ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[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* 2. **[AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models ↗](https://arxiv.org/abs/2310.15140) arXiv:2310.15140 · no summary yet**Sicheng Zhu et al.*2023 · 90 citations* 3. **[Personalization of Large Language Models: A Survey ↗](https://arxiv.org/abs/2411.00027) arXiv (Cornell University) · no summary yet**Zhehao Zhang et al.*2024 · 61 citations* 4. [**A Survey of Small Language Models arXiv:2410.20011**Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.*2024 · 31 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2024-survey-small-language-models/) 5. **[From Selection to Generation: A Survey of LLM-based Active Learning](https://md.research.elamur.ai/free/en/papers/xia-2025-selection-generation-survey-llm-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, et al.*2025 · 22 citations* 6. **[Mitigating Noisy Inputs for Question Answering ↗](https://doi.org/10.21437/interspeech.2019-3154) Interspeech (USB) · no summary yet**Denis Peskov et al.*2019 · 19 citations* ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Franck Dernoncourt](https://md.research.elamur.ai/free/en/authors/franck-dernoncourt/) ×2 - [Junda Wu](https://md.research.elamur.ai/free/en/authors/junda-wu/) ×2 - [Ryan Aponte](https://md.research.elamur.ai/free/en/authors/ryan-aponte/) ×2 - [Tong Yu](https://md.research.elamur.ai/free/en/authors/tong-yu/) ×2 - [Yu Xia](https://md.research.elamur.ai/free/en/authors/yu-xia/) ×2 - [Branislav Kveton](https://md.research.elamur.ai/free/en/authors/branislav-kveton/) - [Chien Van Nguyen](https://md.research.elamur.ai/free/en/authors/chien-van-nguyen/) - [Hanjia Lyu](https://md.research.elamur.ai/free/en/authors/hanjia-lyu/) - [Hongjie Chen](https://md.research.elamur.ai/free/en/authors/hongjie-chen/) - [Jian Chen](https://md.research.elamur.ai/free/en/authors/jian-chen/) - [Mihir Parmar](https://md.research.elamur.ai/free/en/authors/mihir-parmar/) - [Nesreen K. Ahmed](https://md.research.elamur.ai/free/en/authors/nesreen-k-ahmed/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/): [Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/cl/2023/) - Interspeech (USB) ## Cited by Papers of our library cite their works 539 times (of the 149,439 papers whose bibliographies we read); [115 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/joe-barrow/cited-by/). Updated 31 October 2026