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Kenneth Marino

Kenneth Marino has 3 papers in our library, in 2022–2023, most of them on Vision & language, Language models & pretraining, Question answering; often with Arun Ahuja, Ishita Dasgupta, Rob Fergus.

3 papers in our library · 2022–2023

OpenAlex · h-index 13 · 34 works · 2,263 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 678 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #4109

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

🎓Carnegie Mellon UniversityPittsburgh · United States2016–2022 · 9 papers🎓San Diego State UniversitySan Diego · United States1970–1997 · 4 papers🎓University of KentuckyLexington · United States1980–1985 · 4 papers🎓University of UtahSalt Lake City · United States2024–2025 · 2 papers🏢MetaMenlo Park · United States2019–2021 · 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 1 workEngineering · 2 worksControl and Systems Engineering · 2 works

🧭 Topics 5Research subjects and languages the work is about.Vision & language · 2 worksEvaluation & benchmarks · 1 workQuestion answering · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20232 papers20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge (2022 · 509 citations)
    Large pretrained vision–language models have nearly saturated many Visual Question Answering benchmarks. One reason is that the questions in these benchmarks are formulaic, need little knowledge beyond the picture, and require only shallow inference. A-OKVQA, an extension of the authors' earlier OK-VQA, addresses…
  2. Collaborating with language models for embodied reasoning (2023 · 36 citations)
    Large language models reason well and adapt to new tasks through in-context learning, but they cannot perceive or act in an environment.
  3. Distilling Internet-Scale Vision-Language Models into Embodied Agents (2023 · 9 citations)
    Language-conditioned embodied agents must link words to what they perceive and do. The paired trajectory–language data needed for this is costly to collect, often ambiguous, and tied to one agent's design. The authors propose using a pretrained generative vision-language model as an automatic annotator.

All works

7 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKenneth Marino et al.2019 · 1,056 citations
  2. A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeLecture notes in computer scienceDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 509 citations
  3. The More You Know: Using Knowledge Graphs for Image Classification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta2017 · 326 citations
  4. KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKenneth Marino et al.2021 · 222 citations
  5. Collaborating with language models for embodied reasoningarXiv:2302.00763Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, et al.2023 · 36 citations
  6. BriefMe: A Legal NLP Benchmark for Assisting with Legal Briefs ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetJesse Woo et al.2025 · 9 citations
  7. Distilling Internet-Scale Vision-Language Models into Embodied AgentsarXiv:2301.12507Theodore Sumers, Kenneth Marino, Arun Ahuja, et al.2023 · 9 citations

 Co-authors here

7 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 678 times (of the 149,439 papers whose bibliographies we read); 129 citing papers with a page here →.

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