🧑‍🔬 Aleksandra Faust

🏛️ Affiliations

🏢Google DeepMindLondon · United Kingdom2023–2026 · 5 paperscurrent🏢GoogleMountain View · United States2016–2024 · 49 papers🎓University of New MexicoAlbuquerque · United States2011–2019 · 8 papersEducation 2011–2014 · Ph.D., Computer Science🔬Sandia National LaboratoriesAlbuquerque · United States2015–2017 · 3 papers🎓The University of TokyoTokyo · Japan2023 · 2 papers

🏛️Google BrainMountain View · United States2015–2023Employment 2015–2023

🏛️Google DeepMindMountain View · United States2023Employment since 2023 · Research Director

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Personality Traits in Large Language Models (2023 · 252 citations)
   Chatbots built on LLMs often appear to show a personality, but earlier attempts to measure it used questionnaires without checking whether the scores were statistically sound.
2. A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis (2023 · 120 citations)
   Agents driven by large language models do well on simulated web environments but struggle on real websites.

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. Personality Traits in Large Language ModelsarXiv:2307.00184Greg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 252 citations
2. A Real-World WebAgent with Planning, Long Context Understanding, and Program SynthesisarXiv:2307.12856Izzeddin Gur, Hiroki Furuta, Austin Huang, et al.2023 · 120 citations
3. Understanding HTML with Large Language Models ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetIzzeddin Gur et al.2023 · 57 citations
4. Evolving Reinforcement Learning Algorithms ↗arXiv (Cornell University) · no summary yetJohn D. Co-Reyes et al.2021 · 22 citations
5. CLUTR: Curriculum Learning via Unsupervised Task Representation Learning ↗arXiv (Cornell University) · no summary yetAzad, Abdus Salam et al.2022 · 4 citations
6. Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback ↗arXiv (Cornell University) · no summary yetHiroki Furuta et al.2024 · 2 citations
7. ResidencyRL: Reinforcement Learning in Simulated Clinical Environments ↗arXiv (Cornell University) · no summary yetValentin Liévin et al.2026

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Mustafa Safdari ×2
• Clement Crepy
• Douglas Eck
• Hiroki Furuta
• Maja Mataric
• Marwa Abdulhai
• Yutaka Matsuo

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)
• Findings of the Association for Computational Linguistics: EMNLP 2023

🔗 Cited by

Papers of our library cite their works 525 times (of the 149,439 papers whose bibliographies we read); 157 citing papers with a page here →.

Updated 2 November 2026

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