Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus. - Joseph Chee Chang; Chu-Cheng Lin (CoRR, 2014)

Alloy: Clustering with Crowds and Computation. - Joseph Chee Chang; Aniket Kittur; Nathan Hahn (CHI, 2016)

The Knowledge Accelerator: Big Picture Thinking in Small Pieces. - Nathan Hahn; Joseph Chang 001; Ji Eun Kim; Aniket Kittur (CHI, 2016)

Supporting Mobile Sensemaking Through Intentionally Uncertain Highlighting. - Joseph Chee Chang; Nathan Hahn; Aniket Kittur (UIST, 2016)

Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets. - Joseph Chee Chang; Saleema Amershi; Ece Kamar (CHI, 2017)

Evorus: A Crowd-powered Conversational Assistant That Automates Itself Over Time. - Ting-Hao Kenneth Huang; Joseph Chee Chang; Saiganesh Swaminathan; Jeffrey P. Bigham (UIST (Adjunct Volume), 2017)

Bento Browser: Complex Mobile Search Without Tabs. - Nathan Hahn; Joseph Chee Chang; Aniket Kittur (CHI, 2018)

Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time. - Ting-Hao Kenneth Huang; Joseph Chee Chang; Jeffrey P. Bigham (CHI, 2018)

SOLVENT: A Mixed Initiative System for Finding Analogies between Research Papers. - Joel Chan; Joseph Chee Chang; Tom Hope; Dafna Shahaf; Aniket Kittur (Proc. ACM Hum. Comput. Interact., 2018)

SearchLens: composing and capturing complex user interests for exploratory search. - Joseph Chee Chang; Nathan Hahn; Adam Perer; Aniket Kittur (IUI, 2019)

Mesh: Scaffolding Comparison Tables for Online Decision Making. - Joseph Chee Chang; Nathan Hahn; Aniket Kittur (UIST, 2020)

When the Tab Comes Due: Challenges in the Cost Structure of Browser Tab Usage. - Joseph Chee Chang; Nathan Hahn; Yongsung Kim; Julina Coupland; Bradley Breneisen; Hannah S. Kim; John Hwong; Aniket Kittur (CHI, 2021)

Tabs.do: Task-Centric Browser Tab Management. - Joseph Chee Chang; Yongsung Kim; Victor Miller; Michael Xieyang Liu; Brad A. Myers; Aniket Kittur (UIST, 2021)

Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific Literature. - Hyeonsu B. Kang; Joseph Chee Chang; Yongsung Kim; Aniket Kittur (UIST, 2022)

Fuse: In-Situ Sensemaking Support in the Browser. - Andrew Kuznetsov; Joseph Chee Chang; Nathan Hahn; Napol Rachatasumrit; Bradley Breneisen; Julina Coupland; Aniket Kittur (UIST, 2022)

Wigglite: Low-cost Information Collection and Triage. - Michael Xieyang Liu; Andrew Kuznetsov; Yongsung Kim; Joseph Chee Chang; Aniket Kittur; Brad A. Myers (UIST, 2022)

CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. - Joseph Chee Chang; Amy X. Zhang; Jonathan Bragg; Andrew Head; Kyle Lo; Doug Downey; Daniel S. Weld (CHI, 2023)

ComLittee: Literature Discovery with Personal Elected Author Committees. - Hyeonsu B. Kang; Nouran Soliman; Matt Latzke; Joseph Chee Chang; Jonathan Bragg (CHI, 2023)

Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections. - Srishti Palani; Aakanksha Naik; Doug Downey; Amy X. Zhang; Jonathan Bragg; Joseph Chee Chang (CHI, 2023)

PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. - Kyle Lo; Zejiang Shen 001; Benjamin Newman; Joseph Chee Chang; Russell Authur; Erin Bransom; Stefan Candra; Yoganand Chandrasekhar; Regan Huff; Bailey Kuehl; Amanpreet Singh; Chris Wilhelm; et al. (EMNLP (Demos), 2023)

Papeos: Augmenting Research Papers with Talk Videos. - Tae Soo Kim 002; Matt Latzke; Jonathan Bragg; Amy X. Zhang; Joseph Chee Chang (UIST, 2023)

Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking. - Hyeonsu B. Kang; Tongshuang Wu; Joseph Chee Chang; Aniket Kittur (UIST, 2023)

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. - Kyle Lo; Joseph Chee Chang; Andrew Head; Jonathan Bragg; Amy X. Zhang; Cassidy Trier; Chloe Anastasiades; Tal August; Russell Authur; Danielle Bragg; Erin Bransom; Isabel Cachola; et al. (CoRR, 2023)

Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks. - Zejiang Shen 001; Tal August; Pao Siangliulue; Kyle Lo; Jonathan Bragg; Jeff Hammerbacher; Doug Downey; Joseph Chee Chang; David A. Sontag (CoRR, 2023)

Qlarify: Bridging Scholarly Abstracts and Papers with Recursively Expandable Summaries. - Raymond Fok; Joseph Chee Chang; Tal August; Amy X. Zhang; Daniel S. Weld (CoRR, 2023)

Supporting Global Context under Evolving User Intents during Data Exploration - Joseph Chee Chang (2023)

A Design Space for Intelligent and Interactive Writing Assistants. - Mina Lee 002; Katy Ilonka Gero; John Joon Young Chung; Simon Buckingham Shum; Vipul Raheja; Hua Shen 005; Subhashini Venugopalan; Thiemo Wambsganss; David Zhou; Emad A. Alghamdi; Tal August; Avinash Bhat; et al. (CHI, 2024)

PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers. - Yoonjoo Lee; Hyeonsu B. Kang; Matt Latzke; Juho Kim 001; Jonathan Bragg; Joseph Chee Chang; Pao Siangliulue (CHI, 2024)

Mitigating Barriers to Public Social Interaction with Meronymous Communication. - Nouran Soliman; Hyeonsu B. Kang; Matthew Latzke; Jonathan Bragg; Joseph Chee Chang; Amy Xian Zhang; David R. Karger (CHI, 2024)

ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models. - Benjamin Newman; Yoonjoo Lee; Aakanksha Naik; Pao Siangliulue; Raymond Fok; Juho Kim 001; Daniel S. Weld; Joseph Chee Chang; Kyle Lo (EMNLP, 2024)

Personalized Jargon Identification for Enhanced Interdisciplinary Communication. - Yue Guo 007; Joseph Chee Chang; Maria Antoniak; Erin Bransom; Trevor Cohen; Lucy Lu Wang; Tal August (NAACL-HLT, 2024)

Qlarify: Recursively Expandable Abstracts for Dynamic Information Retrieval over Scientific Papers. - Raymond Fok; Joseph Chee Chang; Tal August; Amy X. Zhang; Daniel S. Weld (UIST, 2024)

Let's Get to the Point: LLM-Supported Planning, Drafting, and Revising of Research-Paper Blog Posts. - Marissa Radensky; Daniel S. Weld; Joseph Chee Chang; Pao Siangliulue; Jonathan Bragg (CoRR, 2024)

Social-RAG: Retrieving from Group Interactions to Socially Ground Proactive AI Generation to Group Preferences. - Ruotong Wang 002; Xinyi Zhou 001; Lin Qiu; Joseph Chee Chang; Jonathan Bragg; Amy X. Zhang (CoRR, 2024)

LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions. - Zhehui Liao; Maria Antoniak; Inyoung Cheong; Evie Yu-Yen Cheng; Ai-Heng Lee; Kyle Lo; Joseph Chee Chang; Amy X. Zhang (CoRR, 2024)

Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations. - Chaitanya Malaviya; Joseph Chee Chang; Dan Roth 001; Mohit Iyyer; Mark Yatskar; Kyle Lo (CoRR, 2024)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. - Akari Asai; Jacqueline He; Rulin Shao; Weijia Shi; Amanpreet Singh; Joseph Chee Chang; Kyle Lo; Luca Soldaini; Sergey Feldman; Mike D'Arcy; David Wadden; Matt Latzke; et al. (CoRR, 2024)

Cocoa: Co-Planning and Co-Execution with AI Agents. - K. J. Kevin Feng; Kevin Pu; Matt Latzke; Tal August; Pao Siangliulue; Jonathan Bragg; Daniel S. Weld; Amy X. Zhang; Joseph Chee Chang (CoRR, 2024)

The Semantic Reader Project. - Kyle Lo; Joseph Chee Chang; Andrew Head; Jonathan Bragg; Amy X. Zhang; Cassidy Trier; Chloe Anastasiades; Tal August; Russell Authur; Danielle Bragg; Erin Bransom; Isabel Cachola; et al. (Commun. ACM, 2024)

Social-RAG: Retrieving from Group Interactions to Socially Ground AI Generation. - Ruotong Wang 002; Xinyi Zhou 001; Lin Qiu; Joseph Chee Chang; Jonathan Bragg; Amy X. Zhang (CHI, 2025)

IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback. - Kevin Pu; K. J. Kevin Feng; Tovi Grossman; Tom Hope; Bhavana Dalvi Mishra; Matt Latzke; Jonathan Bragg; Joseph Chee Chang; Pao Siangliulue (CHI, 2025)

Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries. - Chaitanya Malaviya; Joseph Chee Chang; Dan Roth 001; Mohit Iyyer; Mark Yatskar; Kyle Lo (Trans. Assoc. Comput. Linguistics, 2025)

Ai2 Scholar QA: Organized Literature Synthesis with Attribution. - Amanpreet Singh; Joseph Chee Chang; Chloe Anastasiades; Dany Haddad; Aakanksha Naik; Amber Tanaka; Angele Zamarron; Cecile Nguyen; Jena D. Hwang; Jason Dunkleberger; Matt Latzke; Smita Rao; et al. (CoRR, 2025)

Facets, Taxonomies, and Syntheses: Navigating Structured Representations in LLM-Assisted Literature Review. - Raymond Fok; Joseph Chee Chang; Marissa Radensky; Pao Siangliulue; Jonathan Bragg; Amy X. Zhang; Daniel S. Weld (CoRR, 2025)

SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks. - Yilun Zhao 001; Kaiyan Zhang; Tiansheng Hu; Sihong Wu; Ronan Le Bras 001; Taira Anderson; Jonathan Bragg; Joseph Chee Chang; Jesse Dodge; Matt Latzke; Yixin Liu 003; Charles McGrady; et al. (CoRR, 2025)

Penalizing Transparency? How AI Disclosure and Author Demographics Shape Human and AI Judgments About Writing. - Inyoung Cheong; Alicia Guo; Mina Lee 002; Zhehui Liao; Kowe Kadoma; Dongyoung Go; Joseph Chee Chang; Peter Henderson 002; Mor Naaman; Amy X. Zhang (CoRR, 2025)

Setting The Table with Intent: Intent-aware Schema Generation and Editing for Literature Review Tables. - Vishakh Padmakumar; Joseph Chee Chang; Kyle Lo; Doug Downey; Aakanksha Naik (CoRR, 2025)