Papers by Joseph Chang
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents (2023.emnlp-demo)
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Kyle Lo, Zejiang Shen, Benjamin Newman, Joseph Chang, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel Weld, Doug Downey, Luca Soldaini
| Challenge: | Existing tools for working with scientific documents are limited and documents are often in difficult-to-use PDF formats. |
| Approach: | They propose an open-source Python toolkit for analyzing and processing visually-rich scientific documents. |
| Outcome: | PaperMage provides turn-key recipes for common scientific document processing use-cases. |
Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions (2025.acl-long)
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| Challenge: | Prior studies have failed to accurately predict distribution of survey responses from human subjects. |
| Approach: | They propose to fine-tune large language models to predict human response distributions by leveraging unique structural characteristics of survey data. |
| Outcome: | The proposed model can capture group-specific variability in public opinions, generalizing to unseen subpopulations, survey waves and question topics, and different survey families. |
Graph-Based Alternatives to LLMs for Human Simulation (2026.acl-long)
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| Challenge: | Large language models (LLMs) are a popular approach for simulating human behaviors, yet it remains unclear if they are necessary for all simulation tasks. |
| Approach: | They propose a graph neural network that can match or surpass strong LLMs for close-ended simulations. |
| Outcome: | The proposed model outperforms strongest LLM-based methods across three datasets and three evaluation settings. |
Human-AI Collaboration: How AIs Augment Human Teammates (2025.acl-tutorials)
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| Challenge: | Despite the potential of general-purpose models, they are far from perfect, excelling at certain tasks while struggling with others. |
| Approach: | This tutorial will review recent developments related to human-AI teaming and collaboration. |
| Outcome: | This tutorial will review recent developments related to human-AI teaming and collaboration. |