Michael Xieyang Liu

Michael Xieyang Liu

Carnegie Mellon University

H-index: 10

North America-United States

About Michael Xieyang Liu

Michael Xieyang Liu, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Human Computer Interaction, Human-AI Interaction, Sensemaking.

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

"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output

A Contextual Inquiry of People with Vision Impairments in Cooking

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models

Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models

Tool Support for Knowledge Foraging, Structuring, and Transfer during Online Sensemaking

“What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models

Facilitating Counselor Reflective Learning with a Real-time Annotation tool

Wigglite: Low-cost information collection and triage

Michael Xieyang Liu Information

University

Position

___

Citations(all)

713

Citations(since 2020)

693

Cited By

186

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Michael Xieyang Liu Skills & Research Interests

Human Computer Interaction

Human-AI Interaction

Sensemaking

Top articles of Michael Xieyang Liu

"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output

arXiv preprint arXiv:2404.07362

2024/4/10

Michael Xieyang Liu
Michael Xieyang Liu

H-Index: 4

A Contextual Inquiry of People with Vision Impairments in Cooking

arXiv preprint arXiv:2402.15108

2024/2/23

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models

arXiv preprint arXiv:2402.10524

2024/2/16

Minsuk Kahng
Minsuk Kahng

H-Index: 16

Michael Xieyang Liu
Michael Xieyang Liu

H-Index: 4

Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models

arXiv preprint arXiv:2310.02161

2023/10/3

Tool Support for Knowledge Foraging, Structuring, and Transfer during Online Sensemaking

2023/8

Michael Xieyang Liu
Michael Xieyang Liu

H-Index: 4

“What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models

2023/4/19

Michael Xieyang Liu
Michael Xieyang Liu

H-Index: 4

Jack Williams
Jack Williams

H-Index: 6

Facilitating Counselor Reflective Learning with a Real-time Annotation tool

2023/4/19

Wigglite: Low-cost information collection and triage

2022/10/29

Freedom to choose: Understanding input modality preferences of people with upper-body motor impairments for activities of daily living

2022/10/23

Crystalline: Lowering the Cost for Developers to Collect and Organize Information for Decision Making

2022/4/27

Michael Xieyang Liu
Michael Xieyang Liu

H-Index: 4

Aniket Kittur
Aniket Kittur

H-Index: 36

Understanding how programmers can use annotations on documentation

2022/4/27

Amber Horvath
Amber Horvath

H-Index: 8

Michael Xieyang Liu
Michael Xieyang Liu

H-Index: 4

Beyond Cases and Deaths: The Benefits of Auxiliary Data Streams In Tracking the COVID-19 Pandemic: An open repository of real-time COVID-19 indicators

Proceedings of the National Academy of Sciences of the United States of America

2021/12/12

Tabs.do: Task-Centric Browser Tab Management

2021

To Reuse or Not To Reuse? A Framework and System for Evaluating Summarized Knowledge

Proceedings of the ACM on Human-Computer Interaction

2021/4/22

Michael Xieyang Liu
Michael Xieyang Liu

H-Index: 4

Aniket Kittur
Aniket Kittur

H-Index: 36

See List of Professors in Michael Xieyang Liu University(Carnegie Mellon University)

Co-Authors

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