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Krzysztof Choromanski

Krzysztof Choromanski has 2 papers in our library, in 2020–2022, most of them on Reasoning, Vision & language; often with Brian Ichter, David Belanger, David Dohan.

2 papers in our library · 2020–2022

OpenAlex · ORCID · h-index 24 · 175 works · 2,417 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 618 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #2876

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

🏢GoogleMountain View · United States2014–2026 · 60 paperscurrent🎓Columbia UniversityNew York · United States2011–2026 · 33 paperscurrent🏢Google DeepMindLondon · United Kingdom2023–2026 · 9 paperscurrent🎓Courant Institute of Mathematical SciencesNew York · United States2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20221 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Rethinking Attention with Performers (2020 · 491 citations)
    The standard Transformer scales poorly to long sequences: the attention mechanism requires time and memory that grow quadratically with the number of tokens L.
  2. Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language (2022 · 302 citations)
    Pretrained foundation models pick up different kinds of commonsense depending on their training data. Vision-language models (VLMs) connect text to images, while large language models (LMs) also learn from text-only sources such as code or exam questions. Zeng et al. argue that these differences complement each…

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. Rethinking Attention with PerformersarXiv:2009.14794Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, et al.2020 · 491 citations
  2. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguagearXiv:2204.00598Andy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 302 citations
  3. Gemini Robotics: Bringing AI into the Physical World ↗arXiv (Cornell University) · no summary yetGemini Robotics Team et al.2025 · 65 citations
  4. MLGO: a Machine Learning Guided Compiler Optimizations Framework ↗arXiv:2101.04808 · no summary yetMircea Trofin et al.2021 · 42 citations
  5. Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer ↗arXiv (Cornell University) · no summary yetGemini Robotics Team et al.2025 · 20 citations
  6. PolyViT: Co-training Vision Transformers on Images, Videos and Audio ↗arXiv (Cornell University) · no summary yetValerii Likhosherstov et al.2021 · 10 citations

 Co-authors here

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

 Cited by

Papers of our library cite their works 618 times (of the 149,439 papers whose bibliographies we read); 89 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/krzysztof-choromanski/