researcher

Joseph Chee Chang

I am a research scientist at the Allen Institute for AI (Ai2) working on the Asta project. I received my PhD from the Language Technologies Institute and the Human-Computer Interaction Institute at Carnegie Mellon University. My research sits at the intersection of human-computer interaction and AI, with the goal of building systems that help people navigate, understand, and synthesize large amounts of information. I primarily publish in HCI venues (e.g., CHI, UIST) and occationally in NLP conf

12 papers hereh-index 201.3k citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position

first author2
middle author8
last author2

Across the 12 of 12 papers where every author was matched, so the position is known.

fields

affiliations

I am a research scientist at the Allen Institute for AI (Ai2) working on the Asta project. I received my PhD from the Language Technologies Institute and the Human-Computer Interaction Institute at Carnegie Mellon University. My research sits at the intersection of human-computer interaction and AI, with the goal of building systems that help people navigate, understand, and synthesize large amounts of information. I primarily publish in HCI venues (e.g., CHI, UIST) and occationally in NLP conf

Homepage

same name

Joseph Chee Chang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity

20142023

most citedEvorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time

65 citations · 396 across the 12 of their papers we have counts for

collaborators

12 papers

cs.HC2023★ 17 cited

Papeos: Augmenting Research Papers with Talk Videos

Tae Soo Kim, Matt Latzke, Jonathan Bragg +2

Research consumption has been traditionally limited to the reading of academic papers-a static, dense, and formally written format. Alternatively, pre-recorded conference presentat…

cs.HC2023★ 45 cited

Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking

Hyeonsu B. Kang, Sherry Tongshuang Wu, Joseph Chee Chang +1

Efficiently reviewing scholarly literature and synthesizing prior art are crucial for scientific progress. Yet, the growing scale of publications and the burden of knowledge make s…

cs.HC2023★ 8 cited

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces

Kyle Lo, Joseph Chee Chang, Andrew Head +52

Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature…

cs.CL2023★ 3 cited

Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks

Zejiang Shen, Tal August, Pao Siangliulue +6

Large language models have introduced exciting new opportunities and challenges in designing and developing new AI-assisted writing support tools. Recent work has shown that levera…

cs.HC2023★ 45 cited

CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context

Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg +4

When reading a scholarly article, inline citations help researchers contextualize the current article and discover relevant prior work. However, it can be challenging to prioritize…

cs.HC2023★ 16 cited

ComLittee: Literature Discovery with Personal Elected Author Committees

Hyeonsu B. Kang, Nouran Soliman, Matt Latzke +2

In order to help scholars understand and follow a research topic, significant research has been devoted to creating systems that help scholars discover relevant papers and authors.…