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.…

cs.HC2023★ 38 cited

Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections

Srishti Palani, Aakanksha Naik, Doug Downey +3

Scholars who want to research a scientific topic must take time to read, extract meaning, and identify connections across many papers. As scientific literature grows, this becomes…

cs.HC2022★ 29 cited

Fuse: In-Situ Sensemaking Support in the Browser

Andrew Kuznetsov, Joseph Chee Chang, Nathan Hahn +4

People spend a significant amount of time trying to make sense of the internet, collecting content from a variety of sources and organizing it to make decisions and achieve their g…

cs.HC2022★ 48 cited

Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific Literature

Hyeonsu B. Kang, Joseph Chee Chang, Yongsung Kim +1

Reviewing the literature to understand relevant threads of past work is a critical part of research and vehicle for learning. However, as the scientific literature grows the challe…

cs.HC2022★ 62 cited

Wigglite: Low-cost Information Collection and Triage

Michael Xieyang Liu, Andrew Kuznetsov, Yongsung Kim +3

Consumers conducting comparison shopping, researchers making sense of competitive space, and developers looking for code snippets online all face the challenge of capturing the inf…

cs.HC2018★ 65 cited

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

Ting-Hao 'Kenneth' Huang, Joseph Chee Chang, Jeffrey P. Bigham

Crowd-powered conversational assistants have been shown to be more robust than automated systems, but do so at the cost of higher response latency and monetary costs. A promising d…

cs.NE2014★ 20 cited

Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus

Joseph Chee Chang, Chu-Cheng Lin

Mixed language data is one of the difficult yet less explored domains of natural language processing. Most research in fields like machine translation or sentiment analysis assume…