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2020 – today
- 2024
[j5]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. Commun. ACM 67(10): 50-61 (2024)- [j4]Raymond Fok
, Luca Soldaini, Cassidy Trier, Erin Bransom, Kelsey MacMillan, Evie Yu-Yen Cheng, Hita Kambhamettu, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld:
Accelerating Scientific Paper Skimming with Augmented Intelligence Through Customizable Faceted Highlights. ACM Trans. Interact. Intell. Syst. 14(4): 27:1-27:30 (2024) - [c31]Litao Yan, Alyssa Hwang, Zhiyuan Wu, Andrew Head:
Ivie: Lightweight Anchored Explanations of Just-Generated Code. CHI 2024: 140:1-140:15 - [c30]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: 449:1-449:19 - [c29]Harrison Goldstein, Joseph W. Cutler, Daniel Dickstein, Benjamin C. Pierce, Andrew Head:
Property-Based Testing in Practice. ICSE 2024: 187:1-187:13 - [c28]Harrison Goldstein, Jeffrey Tao, Zac Hatfield-Dodds, Benjamin C. Pierce, Andrew Head:
Tyche: Making Sense of PBT Effectiveness. UIST 2024: 10:1-10:16 - [i16]Litao Yan, Alyssa Hwang, Zhiyuan Wu, Andrew Head:
Ivie: Lightweight Anchored Explanations of Just-Generated Code. CoRR abs/2403.02491 (2024) - [i15]Hita Kambhamettu, Jamie Flores, Andrew Head:
Traceable Text: Deepening Reading of AI-Generated Summaries with Phrase-Level Provenance Links. CoRR abs/2409.13099 (2024) - [i14]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:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR abs/2409.17146 (2024) - 2023
- [j3]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): 74:1-74:38 (2023) - [c27]Alyssa Hwang, Natasha Oza, Chris Callison-Burch, Andrew Head:
Rewriting the Script: Adapting Text Instructions for Voice Interaction. Conference on Designing Interactive Systems 2023: 2233-2248 - [c26]Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch:
CALYPSO: LLMs as Dungeon Master's Assistants. AIIDE 2023: 380-390 - [c25]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: 737:1-737:15 - [c24]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: 798:1-798:22 - [c23]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: 476-490 - [c22]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: 90:1-90:16 - [c21]Harrison Goldstein, Benjamin C. Pierce, Andrew Head:
Tyche: In Situ Analysis of Random Testing Effectiveness. UIST (Adjunct Volume) 2023: 96:1-96:3 - [i13]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 abs/2302.07302 (2023) - [i12]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 abs/2303.14334 (2023) - [i11]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 abs/2305.14660 (2023) - [i10]Alyssa Hwang, Natasha Oza, Chris Callison-Burch, Andrew Head:
Rewriting the Script: Adapting Text Instructions for Voice Interaction. CoRR abs/2306.09992 (2023) - [i9]Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch:
CALYPSO: LLMs as Dungeon Masters' Assistants. CoRR abs/2308.07540 (2023) - [i8]Alyssa Hwang, Andrew Head, Chris Callison-Burch:
Grounded Intuition of GPT-Vision's Abilities with Scientific Images. CoRR abs/2311.02069 (2023) - 2022
- [j2]Shreya Shankar, Stephen Macke, Sarah E. Chasins, Andrew Head, Aditya G. Parameswaran:
Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. Proc. VLDB Endow. 15(13): 4038-4047 (2022) - [c20]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: 302:1-302:23 - [c19]Andrew Head, Amber Xie, Marti A. Hearst:
Math Augmentation: How Authors Enhance the Readability of Formulas using Novel Visual Design Practices. CHI 2022: 491:1-491:18 - [i7]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 abs/2203.00130 (2022) - [i6]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 abs/2204.10254 (2022) - [i5]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 abs/2205.04561 (2022) - 2021
- [j1]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): 1093-1101 (2021) - [c18]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: 413:1-413:18 - [c17]Hwiyeol Jo, Dongyeop Kang, Andrew Head, Marti A. Hearst:
Modeling Mathematical Notation Semantics in Academic Papers. EMNLP (Findings) 2021: 3102-3115 - 2020
- [b1]Andrew Head:
Interactive Program Distillation. University of California, Berkeley, USA, 2020 - [c16]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: 1-12 - [c15]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: 196-206 - [i4]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 abs/2009.14237 (2020) - [i3]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 abs/2010.05129 (2020) - [i2]Stephen Macke, Hongpu Gong, Doris Jung Lin Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran:
Fine-Grained Lineage for Safer Notebook Interactions. CoRR abs/2012.06981 (2020)
2010 – 2019
- 2019
- [c14]Andrew Head, Fred Hohman, Titus Barik, Steven Mark Drucker, Robert DeLine:
Managing Messes in Computational Notebooks. CHI 2019: 270 - [c13]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: 579 - 2018
- [c12]Andrew Head, Elena L. Glassman, Björn Hartmann, Marti A. Hearst:
Interactive Extraction of Examples from Existing Code. CHI 2018: 85 - [c11]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: 14-17 - [c10]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: 643-653 - [c9]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: 447-455 - 2017
- [c8]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: 2951-2958 - [c7]Andrew Head, Mélanie Manguin, Nhat Tran, Joshua E. Blumenstock:
Can Human Development be Measured with Satellite Imagery? ICTD 2017: 8:1-8:11 - [c6]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: 89-98 - [c5]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: 107-115 - [i1]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 abs/1708.03786 (2017) - 2016
- [c4]Andrew Head:
Social health cues developers use when choosing open source packages. SIGSOFT FSE 2016: 1133-1135 - 2015
- [c3]Valkyrie Savage, Andrew Head, Björn Hartmann, Dan B. Goldman, Gautham J. Mysore, Wilmot Li:
Lamello: Passive Acoustic Sensing for Tangible Input Components. CHI 2015: 1277-1280 - [c2]Andrew Head, Codanda Appachu, Marti A. Hearst, Björn Hartmann:
Tutorons: Generating context-relevant, on-demand explanations and demonstrations of online code. VL/HCC 2015: 3-12 - 2014
- [c1]Andrew Head, Yi Xu, Jingtao Wang:
ToneWars: Connecting Language Learners and Native Speakers through Collaborative Mobile Games. Intelligent Tutoring Systems 2014: 368-377
Coauthor Index
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