--- title: "Irena Gao · Stanford University — author profile and papers" description: "Irena Gao, Stanford University: 2 papers on Elamur Research (2023), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/irena-gao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/irena-gao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Irena Gao # Irena Gao Irena Gao has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Anas Awadalla](https://md.research.elamur.ai/free/en/authors/anas-awadalla/), [Christopher A. Choquette-Choo](https://md.research.elamur.ai/free/en/authors/christopher-a-choquette-choo/), [Daphne Ippolito](https://md.research.elamur.ai/free/en/authors/daphne-ippolito/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5011345811) · [**h-index 9**](https://openalex.org/authors/A5011345811) · [15 works](https://openalex.org/works?filter=author.id:A5011345811) · [587 citations](https://openalex.org/works?filter=author.id:A5011345811&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/irena-gao/#papers) · [🔗 Cited 457 times in our library](https://md.research.elamur.ai/free/en/authors/irena-gao/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4990](https://md.research.elamur.ai/free/en/paper-stars/page/50/#star-4990) 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=Irena+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Irena+Gao) · [dblp](https://dblp.org/search?q=Irena+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Irena+Gao) ## Affiliations [🎓**Stanford University** Stanford · United States 2020–2025 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Illinois Mathematics and Science Academy** Aurora · United States 2016–2019 · 2 papers](https://ror.org/024xf4148) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/irena-gao/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models](https://md.research.elamur.ai/free/en/papers/awadalla-2023-openflamingo-open-source-framework-training/)** *(2023 · 222 citations)* Strong autoregressive vision-language models like DeepMind's Flamingo accept mixed sequences of images and text, which allows in-context learning from a few demonstrations. 2. **[Are aligned neural networks adversarially aligned?](https://md.research.elamur.ai/free/en/papers/carlini-2023-aligned-neural-networks-adversarially-aligned/)** *(2023 · 157 citations)* This NeurIPS 2023 paper asks whether alignment-tuned language models, trained with RLHF or instruction tuning to be helpful and harmless, stay safe against a worst-case adversary who deliberately optimizes inputs rather than relying on hand-written jailbreaks. ## All works 7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[WILDS: A Benchmark of in-the-Wild Distribution Shifts ↗](https://arxiv.org/abs/2012.07421) CaltechAUTHORS (California Institute of Technology) · no summary yet**Pang Wei Koh et al.*2020 · 405 citations* 2. [**OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models arXiv:2308.01390**Anas Awadalla, Irena Gao, Josh Gardner, et al.*2023 · 222 citations*](https://md.research.elamur.ai/free/en/papers/awadalla-2023-openflamingo-open-source-framework-training/) 3. **[Are aligned neural networks adversarially aligned?](https://md.research.elamur.ai/free/en/papers/carlini-2023-aligned-neural-networks-adversarially-aligned/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, et al.*2023 · 157 citations* 4. **[@ CREPE: Can Vision-Language Foundation Models Reason Compositionally? ↗](https://doi.org/10.1109/cvpr52729.2023.01050) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zixian Ma et al.*2023 · 129 citations* 5. **[Extending the WILDS Benchmark for Unsupervised Adaptation ↗](https://arxiv.org/abs/2112.05090) arXiv (Cornell University) · no summary yet**Shiori Sagawa et al.*2021 · 18 citations* 6. **[Model Equality Testing: Which Model Is This API Serving? ↗](https://arxiv.org/abs/2410.20247) arXiv (Cornell University) · no summary yet**Irena Gao, Percy Liang, Carlos Guestrin*2024 · 5 citations* 7. **[Out-of-Domain Robustness via Targeted Augmentations ↗](https://arxiv.org/abs/2302.11861) arXiv (Cornell University) · no summary yet**Irena Gao et al.*2023 · 1 citation* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Anas Awadalla](https://md.research.elamur.ai/free/en/authors/anas-awadalla/) ×2 - [Christopher A. Choquette-Choo](https://md.research.elamur.ai/free/en/authors/christopher-a-choquette-choo/) - [Daphne Ippolito](https://md.research.elamur.ai/free/en/authors/daphne-ippolito/) - [Florian Tramer](https://md.research.elamur.ai/free/en/authors/florian-tramer/) - [Jack Hessel](https://md.research.elamur.ai/free/en/authors/jack-hessel/) - [Jenia Jitsev](https://md.research.elamur.ai/free/en/authors/jenia-jitsev/) - [Katherine Lee](https://md.research.elamur.ai/free/en/authors/katherine-lee/) - [Ludwig Schmidt](https://md.research.elamur.ai/free/en/authors/ludwig-schmidt/) - [Matthew Jagielski](https://md.research.elamur.ai/free/en/authors/matthew-jagielski/) - [Milad Nasr](https://md.research.elamur.ai/free/en/authors/milad-nasr/) - [Nicholas Carlini](https://md.research.elamur.ai/free/en/authors/nicholas-carlini/) - [Pang Wei Koh](https://md.research.elamur.ai/free/en/authors/pang-wei-koh/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) - CaltechAUTHORS (California Institute of Technology) - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ## Cited by Papers of our library cite their works 457 times (of the 149,439 papers whose bibliographies we read); [108 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/irena-gao/cited-by/). Updated 2 November 2026