Andrew Head

According to our database, Andrew Head authored at least 43 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, 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

Commun. ACM, October, 2024

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.

Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi

CoRR, 2024

Traceable Text: Deepening Reading of AI-Generated Summaries with Phrase-Level Provenance Links.

Hita Kambhamettu, Jamie Flores, Andrew Head

CoRR, 2024

Tyche: Making Sense of PBT Effectiveness.

Harrison Goldstein, Jeffrey Tao, Zac Hatfield-Dodds, Benjamin C. Pierce, Andrew Head

Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Property-Based Testing in Practice.

Harrison Goldstein, Joseph W. Cutler, Daniel Dickstein, Benjamin C. Pierce, Andrew Head

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Ivie: Lightweight Anchored Explanations of Just-Generated Code.

Litao Yan, Alyssa Hwang, Zhiyuan Wu, Andrew Head

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Explainable Notes: Examining How to Unlock Meaning in Medical Notes with Interactivity and Artificial Intelligence.

Hita Kambhamettu, Danaë Metaxa, Kevin Johnson, Andrew Head

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing.

Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo

ACM Trans. Comput. Hum. Interact., October, 2023

Grounded Intuition of GPT-Vision's Abilities with Scientific Images.

Alyssa Hwang, Andrew Head, Chris Callison-Burch

CoRR, 2023

CALYPSO: LLMs as Dungeon Masters' Assistants.

Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch

CoRR, 2023

Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction.

Anna Martin-Boyle, Andrew Head, Kyle Lo, Risham Sidhu, Marti A. Hearst, Dongyeop Kang

CoRR, 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, 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

CoRR, 2023

FFL: A Language and Live Runtime for Styling and Labeling Typeset Math Formulas.

Zhiyuan Wu, Jiening Li, Kevin Ma, Hita Kambhamettu, Andrew Head

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

Tyche: In Situ Analysis of Random Testing Effectiveness.

Harrison Goldstein, Benjamin C. Pierce, Andrew Head

Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

Scim: Intelligent Skimming Support for Scientific Papers.

Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials.

April Yi Wang, Andrew Head, Ashley Ge Zhang, Steve Oney, Christopher Brooks

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

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

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

CALYPSO: LLMs as Dungeon Master's Assistants.

Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

Rewriting the Script: Adapting Text Instructions for Voice Interaction.

Alyssa Hwang, Natasha Oza, Chris Callison-Burch, Andrew Head

Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2023

2022

Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science].

Shreya Shankar, Stephen Macke, Sarah E. Chasins, Andrew Head, Aditya G. Parameswaran

Proc. VLDB Endow., 2022

Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers.

Raymond Fok, Andrew Head, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Daniel S. Weld

CoRR, 2022

From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks.

Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Math Augmentation: How Authors Enhance the Readability of Formulas using Novel Visual Design Practices.

Andrew Head, Amber Xie, Marti A. Hearst

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Fine-Grained Lineage for Safer Notebook Interactions.

Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head

Proc. VLDB Endow., 2021

Modeling Mathematical Notation Semantics in Academic Papers.

Hwiyeol Jo, Dongyeop Kang, Andrew Head, Marti A. Hearst

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols.

Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Interactive Program Distillation.

Andrew Head

PhD thesis, 2020

Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions.

Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst

Proceedings of the First Workshop on Scholarly Document Processing, 2020

Composing Flexibly-Organized Step-by-Step Tutorials from Linked Source Code, Snippets, and Outputs.

Andrew Head, Jason Jiang, James Smith, Marti A. Hearst, Björn Hartmann

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models.

Fred Hohman, Andrew Head, Rich Caruana, Robert DeLine, Steven Mark Drucker

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Managing Messes in Computational Notebooks.

Andrew Head, Fred Hohman, Titus Barik, Steven Mark Drucker, Robert DeLine

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

WiFröst: Bridging the Information Gap for Debugging of Networked Embedded Systems.

William McGrath, Jeremy Warner, Mitchell Karchemsky, Andrew Head, Daniel Drew, Bjoern Hartmann

Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, 2018

Discovering API Usability Problems at Scale.

Emerson R. Murphy-Hill, Caitlin Sadowski, Andrew Head, John Daughtry, Andrew Macvean, Ciera Jaspan, Collin Winter

Proceedings of the 2nd IEEE/ACM International Workshop on API Usage and Evolution, 2018

When not to comment: questions and tradeoffs with API documentation for C++ projects.

Andrew Head, Caitlin Sadowski, Emerson R. Murphy-Hill, Andrea Knight

Proceedings of the 40th International Conference on Software Engineering, 2018

Interactive Extraction of Examples from Existing Code.

Andrew Head, Elena L. Glassman, Björn Hartmann, Marti A. Hearst

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

TraceDiff: Debugging unexpected code behavior using trace divergences.

Ryo Suzuki, Gustavo Soares, Andrew Head, Elena L. Glassman, Ruan Reis, Melina Mongiovi, Loris D'Antoni, Björn Hartmann

Proceedings of the 2017 IEEE Symposium on Visual Languages and Human-Centric Computing, 2017

Writing Reusable Code Feedback at Scale with Mixed-Initiative Program Synthesis.

Andrew Head, Elena L. Glassman, Gustavo Soares, Ryo Suzuki, Lucas Figueredo, Loris D'Antoni, Björn Hartmann

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Can Human Development be Measured with Satellite Imagery?

Andrew Head, Mélanie Manguin, Nhat Tran, Joshua E. Blumenstock

Proceedings of the Ninth International Conference on Information and Communication Technologies and Development, 2017

Exploring the Design Space of Automatically Synthesized Hints for Introductory Programming Assignments.

Ryo Suzuki, Gustavo Soares, Elena L. Glassman, Andrew Head, Loris D'Antoni, Björn Hartmann

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Social health cues developers use when choosing open source packages.

Andrew Head

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

2015

Tutorons: Generating context-relevant, on-demand explanations and demonstrations of online code.

Andrew Head, Codanda Appachu, Marti A. Hearst, Björn Hartmann

Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, 2015

Lamello: Passive Acoustic Sensing for Tangible Input Components.

Valkyrie Savage, Andrew Head, Björn Hartmann, Dan B. Goldman, Gautham J. Mysore, Wilmot Li

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014

ToneWars: Connecting Language Learners and Native Speakers through Collaborative Mobile Games.

Andrew Head, Yi Xu, Jingtao Wang

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014