John Canny

John Canny

University of California, Berkeley

H-index: 88

North America-United States

About John Canny

John Canny, With an exceptional h-index of 88 and a recent h-index of 43 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of HCI, Ubicomp, ICTD, Data Mining, Health Technologies.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

ALOHa: A New Measure for Hallucination in Captioning Models

A Need Finding Study with Low-Resource Language Content Creators

Moral foundations of large language models

Clair: Evaluating image captions with large language models

Co-Designing for Transparency: Lessons from Building a Document Organization Tool in the Criminal Justice Domain

IC3: Image Captioning by Committee Consensus

Learning via distributed dialogue: Livenotes and handheld wireless technology

John Canny Information

University

Position

___

Citations(all)

74632

Citations(since 2020)

17633

Cited By

63310

hIndex(all)

88

hIndex(since 2020)

43

i10Index(all)

233

i10Index(since 2020)

128

Email

University Profile Page

Google Scholar

John Canny Skills & Research Interests

HCI

Ubicomp

ICTD

Data Mining

Health Technologies

Top articles of John Canny

A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

arXiv preprint arXiv:2402.09727

2024/2/15

Xinyun Chen
Xinyun Chen

H-Index: 7

John Canny
John Canny

H-Index: 38

ALOHa: A New Measure for Hallucination in Captioning Models

arXiv preprint arXiv:2404.02904

2024/4/3

A Need Finding Study with Low-Resource Language Content Creators

2023/11/27

John Canny
John Canny

H-Index: 38

Moral foundations of large language models

arXiv preprint arXiv:2310.15337

2023/10/23

Marwa Abdulhai
Marwa Abdulhai

H-Index: 1

John Canny
John Canny

H-Index: 38

Clair: Evaluating image captions with large language models

arXiv preprint arXiv:2310.12971

2023/10/19

Co-Designing for Transparency: Lessons from Building a Document Organization Tool in the Criminal Justice Domain

2023/6/12

John Canny
John Canny

H-Index: 38

IC3: Image Captioning by Committee Consensus

2023/12

Austin Myers
Austin Myers

H-Index: 5

John Canny
John Canny

H-Index: 38

Learning via distributed dialogue: Livenotes and handheld wireless technology

2023/1/13

An Embedding-Dynamic Approach to Self-Supervised Learning

2023

Multimodal semantic mismatch detection in social media posts

2022/9/26

Methods and apparatuses for operating a self-driving vehicle

2022/9/20

Distribution aware metrics for conditional natural language generation

arXiv preprint arXiv:2209.07518

2022/9/15

Austin Myers
Austin Myers

H-Index: 5

John Canny
John Canny

H-Index: 38

LAVA: Language Audio Vision Alignment for Data-Efficient Video Pre-Training

2022

David Chan
David Chan

H-Index: 27

John Canny
John Canny

H-Index: 38

LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training

arXiv preprint arXiv:2207.08024

2022/7/16

David Chan
David Chan

H-Index: 27

John Canny
John Canny

H-Index: 38

Learning causal overhypotheses through exploration in children and computational models

2022/6/28

Towards understanding how machines can learn causal overhypotheses

arXiv preprint arXiv:2206.08353

2022/6/16

Hallucination Is All You Need: Using Generative Models for Test Time Data Augmentation

2022/5/12

Newspod: Automatic and interactive news podcasts

2022/3/22

Srujay Korlakunta
Srujay Korlakunta

H-Index: 0

John Canny
John Canny

H-Index: 38

Misinformation detection in social media video posts

arXiv preprint arXiv:2202.07706

2022/2/15

What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics

2022

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