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Irena Gao

Irena Gao has 2 papers in our library, in 2023, most of them on Language models & pretraining, Vision & language; often with Anas Awadalla, Christopher A. Choquette-Choo, Daphne Ippolito.

2 papers in our library · 2023

OpenAlex · h-index 9 · 15 works · 587 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 457 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #4989

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Stanford UniversityStanford · United States2020–2025 · 10 paperscurrent🎓Illinois Mathematics and Science AcademyAurora · United States2016–2019 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models (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? (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 ↗CaltechAUTHORS (California Institute of Technology) · no summary yetPang Wei Koh et al.2020 · 405 citations
  2. OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language ModelsarXiv:2308.01390Anas Awadalla, Irena Gao, Josh Gardner, et al.2023 · 222 citations
  3. Are aligned neural networks adversarially aligned?Conference on Neural Information Processing Systems (NeurIPS)Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, et al.2023 · 157 citations
  4. @ CREPE: Can Vision-Language Foundation Models Reason Compositionally? ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZixian Ma et al.2023 · 129 citations
  5. Extending the WILDS Benchmark for Unsupervised Adaptation ↗arXiv (Cornell University) · no summary yetShiori Sagawa et al.2021 · 18 citations
  6. Model Equality Testing: Which Model Is This API Serving? ↗arXiv (Cornell University) · no summary yetIrena Gao, Percy Liang, Carlos Guestrin2024 · 5 citations
  7. Out-of-Domain Robustness via Targeted Augmentations ↗arXiv (Cornell University) · no summary yetIrena Gao et al.2023 · 1 citation

 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

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