🧑‍🔬 Aida Nematzadeh

🏛️ Affiliations

🏢Google DeepMindLondon · United Kingdom2020–2026 · 9 paperscurrent🎓University of TorontoToronto · Canada2011–2017 · 10 papers🎓University of California, BerkeleyBerkeley · United States2018–2020 · 5 papers🎓University of CopenhagenCopenhagen · Denmark2023 · 4 papers🎓University of OxfordOxford · United Kingdom2021–2023 · 3 papers🎓Université de MontréalMontreal · Canada2022–2023 · 3 papers🎓Carnegie Mellon UniversityPittsburgh · United States2023 · 2 papers🔬Idiap Research InstituteMartigny-Combe · Switzerland2022 · 2 papers🎓Princeton UniversityPrinceton · United States2018 · 2 papers

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. How FaR Are Large Language Models From Agents with Theory-of-Mind? (2023 · 40 citations)
   Theory-of-Mind (ToM) benchmarks for large language models, such as ToMi, usually ask directly about a character's beliefs.
2. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches (2023 · 38 citations)
   This survey examines how NLP systems, including LLMs, can handle pragmatics: the way people use context to convey more than they literally say.

All works

6 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. Scaling Language Models: Methods, Analysis & Insights from Training Gopher ↗arXiv:2112.11446 · no summary yetJack W. Rae et al.2021 · 928 citations
2. Probing Image-Language Transformers for Verb Understanding ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetLisa Anne Hendricks, Aida Nematzadeh2021 · 121 citations
3. Evaluating Theory of Mind in Question Answering ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetAida Nematzadeh et al.2018 · 114 citations
4. How FaR Are Large Language Models From Agents with Theory-of-Mind?arXiv:2310.03051Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, et al.2023 · 40 citations
5. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesFindings of the Association for Computational LinguisticsDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 38 citations
6. Visual Grounding in Video for Unsupervised Word Translation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGunnar A. Sigurdsson et al.2020 · 18 citations

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Aditya Gupta
• Aman Madaan
• Ari Holtzman
• Daniel Fried
• Jay Pujara
• Jennifer Hu
• Manaal Faruqui
• Nicholas Tomlin
• Pei Zhou
• Roma Patel
• Shyam Upadhyay
• Swaroop Mishra

Venues

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

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
• Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 1,908 times (of the 149,439 papers whose bibliographies we read); 480 citing papers with a page here →.

Updated 30 October 2026

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