Andrew Head

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Programming Assignments

Scientific Papers

Natural Language Processing

Program Slicing

Top Venues

Proc. VLDB Endow.

Publications

Litao Yan, Alyssa Hwang, Zhiyuan Wu, Andrew Head
Ivie: Lightweight Anchored Explanations of Just-Generated Code. CHI (2024)
Litao Yan, Alyssa Hwang, Zhiyuan Wu, Andrew Head
Ivie: Lightweight Anchored Explanations of Just-Generated Code. CoRR (2024)
Hita Kambhamettu, Danaë Metaxa, Kevin Johnson, Andrew Head
Explainable Notes: Examining How to Unlock Meaning in Medical Notes with Interactivity and Artificial Intelligence. CHI (2024)
Harrison Goldstein, Joseph W. Cutler, Daniel Dickstein, Benjamin C. Pierce, Andrew Head
Property-Based Testing in Practice. ICSE (2024)
Alyssa Hwang, Natasha Oza, Chris Callison-Burch, Andrew Head
Rewriting the Script: Adapting Text Instructions for Voice Interaction. Conference on Designing Interactive Systems (2023)
Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. ACM Trans. Comput. Hum. Interact. 30 (5) (2023)
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, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. CoRR (2023)
Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld
Scim: Intelligent Skimming Support for Scientific Papers. IUI (2023)
Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch
CALYPSO: LLMs as Dungeon Masters' Assistants. CoRR (2023)
Anna Martin-Boyle, Andrew Head, Kyle Lo, Risham Sidhu, Marti A. Hearst, Dongyeop Kang
Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction. CoRR (2023)
Alyssa Hwang, Natasha Oza, Chris Callison-Burch, Andrew Head
Rewriting the Script: Adapting Text Instructions for Voice Interaction. CoRR (2023)
Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch
CALYPSO: LLMs as Dungeon Master's Assistants. AIIDE (2023)
Alyssa Hwang, Andrew Head, Chris Callison-Burch
Grounded Intuition of GPT-Vision's Abilities with Scientific Images. CoRR (2023)
Zhiyuan Wu, Jiening Li, Kevin Ma, Hita Kambhamettu, Andrew Head
FFL: A Language and Live Runtime for Styling and Labeling Typeset Math Formulas. UIST (2023)
April Yi Wang, Andrew Head, Ashley Ge Zhang, Steve Oney, Christopher Brooks
Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials. CHI (2023)
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. CoRR (2023)
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. CHI (2023)
Harrison Goldstein, Benjamin C. Pierce, Andrew Head
Tyche: In Situ Analysis of Random Testing Effectiveness. UIST (Adjunct Volume) (2023)
Raymond Fok, Andrew Head, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Daniel S. Weld
Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers. CoRR (2022)
Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. CoRR (2022)
Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. CoRR (2022)
Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. CHI (2022)
Shreya Shankar, Stephen Macke, Sarah Chasins, Andrew Head, Aditya G. Parameswaran
Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. Proc. VLDB Endow. 15 (13) (2022)
Andrew Head, Amber Xie, Marti A. Hearst
Math Augmentation: How Authors Enhance the Readability of Formulas using Novel Visual Design Practices. CHI (2022)
Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head
Fine-Grained Lineage for Safer Notebook Interactions. Proc. VLDB Endow. 14 (6) (2021)
Hwiyeol Jo, Dongyeop Kang, Andrew Head, Marti A. Hearst
Modeling Mathematical Notation Semantics in Academic Papers. EMNLP (Findings) (2021)
Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. CHI (2021)
Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. CoRR (2020)
Stephen Macke, Hongpu Gong, Doris Jung Lin Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran
Fine-Grained Lineage for Safer Notebook Interactions. CoRR (2020)
Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. SDP@EMNLP (2020)
Andrew Head, Jason Jiang, James Smith, Marti A. Hearst, Björn Hartmann
Composing Flexibly-Organized Step-by-Step Tutorials from Linked Source Code, Snippets, and Outputs. CHI (2020)
Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. CoRR (2020)
Fred Hohman, Andrew Head, Rich Caruana, Robert DeLine, Steven Mark Drucker
Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models. CHI (2019)
Andrew Head, Fred Hohman, Titus Barik, Steven Mark Drucker, Robert DeLine
Managing Messes in Computational Notebooks. CHI (2019)
William McGrath, Jeremy Warner, Mitchell Karchemsky, Andrew Head, Daniel Drew, Bjoern Hartmann
WiFröst: Bridging the Information Gap for Debugging of Networked Embedded Systems. UIST (2018)
Emerson R. Murphy-Hill, Caitlin Sadowski, Andrew Head, John Daughtry, Andrew Macvean, Ciera Jaspan, Collin Winter
Discovering API Usability Problems at Scale. WAPI@ICSE (2018)
Andrew Head, Caitlin Sadowski, Emerson R. Murphy-Hill, Andrea Knight
When not to comment: questions and tradeoffs with API documentation for C++ projects. ICSE (2018)
Andrew Head, Elena L. Glassman, Björn Hartmann, Marti A. Hearst
Interactive Extraction of Examples from Existing Code. CHI (2018)
Ryo Suzuki, Gustavo Soares, Andrew Head, Elena L. Glassman, Ruan Reis, Melina Mongiovi, Loris D'Antoni, Bjoern Hartmann
TraceDiff: Debugging Unexpected Code Behavior Using Trace Divergences. CoRR (2017)
Andrew Head, Mélanie Manguin, Nhat Tran, Joshua E. Blumenstock
Can Human Development be Measured with Satellite Imagery? ICTD (2017)
Ryo Suzuki, Gustavo Soares, Andrew Head, Elena L. Glassman, Ruan Reis, Melina Mongiovi, Loris D'Antoni, Björn Hartmann
TraceDiff: Debugging unexpected code behavior using trace divergences. VL/HCC (2017)
Ryo Suzuki, Gustavo Soares, Elena L. Glassman, Andrew Head, Loris D'Antoni, Björn Hartmann
Exploring the Design Space of Automatically Synthesized Hints for Introductory Programming Assignments. CHI Extended Abstracts (2017)
Andrew Head, Elena L. Glassman, Gustavo Soares, Ryo Suzuki, Lucas Figueredo, Loris D'Antoni, Björn Hartmann
Writing Reusable Code Feedback at Scale with Mixed-Initiative Program Synthesis. L@S (2017)
Andrew Head
Social health cues developers use when choosing open source packages. SIGSOFT FSE (2016)
Andrew Head, Codanda Appachu, Marti A. Hearst, Björn Hartmann
Tutorons: Generating context-relevant, on-demand explanations and demonstrations of online code. VL/HCC (2015)
Valkyrie Savage, Andrew Head, Björn Hartmann, Dan B. Goldman, Gautham J. Mysore, Wilmot Li
Lamello: Passive Acoustic Sensing for Tangible Input Components. CHI (2015)
Andrew Head, Yi Xu, Jingtao Wang
ToneWars: Connecting Language Learners and Native Speakers through Collaborative Mobile Games. Intelligent Tutoring Systems (2014)