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John Canny

John Canny has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Clement Crepy, Hiroki Furuta, Marwa Abdulhai.

2 papers in our library · 2024

OpenAlex · ORCID · Wikidata · h-index 72 · 431 works · 52,097 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 180 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #6309

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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. Moral Foundations of Large Language Models (2024 · 94 citations)
    This work examines whether widely used large language models have absorbed a particular moral and political leaning from their internet-scale training data.
  2. A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts (2024 · 46 citations)
    Large language models have a hard limit on input length, and their accuracy often drops on long inputs well before that limit.

All works

8 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. Textual Explanations for Self-Driving Vehicles ↗Lecture notes in computer science · no summary yetJinkyu Kim et al.2018 · 368 citations
  2. Moral Foundations of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Marwa Abdulhai, Gregory Serapio-García, Clement Crepy, et al.2024 · 94 citations
  3. CLAIR: Evaluating Image Captions with Large Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetDavid M. Chan et al.2023 · 55 citations
  4. Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJinkyu Kim et al.2020 · 47 citations
  5. A Human-Inspired Reading Agent with Gist Memory of Very Long ContextsarXiv:2402.09727Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, et al.2024 · 46 citations
  6. A Multi-Teraflop Constituency Parser using GPUs ↗EMNLP 2013 · no summary yetJohn Canny, David Hall, Dan Klein2013 · 31 citations
  7. Toward explainable and advisable model for self‐driving cars ↗Applied AI Letters · no summary yetJinkyu Kim et al.2021 · 24 citations
  8. ALOHa: A New Measure for Hallucination in Captioning Models ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) · no summary yetSuzanne Petryk et al.2024 · 22 citations

 Co-authors here

4 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 180 times (of the 149,439 papers whose bibliographies we read); 47 citing papers with a page here →.

Updated

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