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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksCognitive Neuroscience · 1 workNeuroscience · 1 workSafety Research · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- 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. - 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
- Textual Explanations for Self-Driving Vehicles ↗Lecture notes in computer science · no summary yetJinkyu Kim et al.2018 · 368 citations
- 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
- 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
- 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
- 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
- A Multi-Teraflop Constituency Parser using GPUs ↗EMNLP 2013 · no summary yetJohn Canny, David Hall, Dan Klein2013 · 31 citations
- Toward explainable and advisable model for self‐driving cars ↗Applied AI Letters · no summary yetJinkyu Kim et al.2021 · 24 citations
- 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
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2024
- Applied AI Letters
- EMNLP 2013
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Lecture notes in computer science
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/john-canny/