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Books and Theses
- 2022
[b1]Gagan Bansal:
Three Maxims for Developing Human-Centered AI for DecisionMaking. University of Washington, USA, 2022
Journal Articles
- 2024
- [j3]Vartika Agarwal
, Gagan Bansal:
Automatic number plate detection and recognition using YOLO world. Comput. Electr. Eng. 120: 109646 (2024) - 2023
- [j2]Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal:
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-32 (2023) - 2019
- [j1]Daniel S. Weld, Gagan Bansal:
The challenge of crafting intelligible intelligence. Commun. ACM 62(6): 70-79 (2019)
Conference and Workshop Papers
- 2024
- [c19]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. AAAI 2024: 10137-10144 - [c18]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CHI 2024: 142:1-142:16 - [c17]Zahra Ashktorab, Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Tongshuang Wu, Wenjuan Zhang:
Trust and Reliance in Evolving Human-AI Workflows (TREW). CHI Extended Abstracts 2024: 496:1-496:6 - 2023
- [c16]Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, Saleema Amershi:
Aligning Offline Metrics and Human Judgments of Value for Code Generation Models. ACL (Findings) 2023: 8516-8528 - [c15]Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Simone Stumpf, Sherry Wu:
Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts 2023: 371:1-371:6 - 2022
- [c14]Gagan Bansal, Alison Marie Smith-Renner, Zana Buçinca, Tongshuang Wu, Kenneth Holstein, Jessica Hullman, Simone Stumpf:
Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts 2022: 116:1-116:6 - 2021
- [c13]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. AAAI 2021: 11405-11414 - [c12]Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Yashar Mehdad, Robin Jia, Srinivasan Iyer:
Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations. ACL/IJCNLP (Findings) 2021: 1103-1116 - [c11]Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld:
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CHI 2021: 81:1-81:16 - 2019
- [c10]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. AAAI 2019: 2429-2437 - [c9]Gonzalo A. Ramos, Jina Suh, Soroush Ghorashi, Christopher Meek, Richard Banks, Saleema Amershi, Rebecca Fiebrink, Alison Smith-Renner, Gagan Bansal:
Emerging Perspectives in Human-Centered Machine Learning. CHI Extended Abstracts 2019 - [c8]Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz:
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. HCOMP 2019: 2-11 - [c7]Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu:
Gmail Smart Compose: Real-Time Assisted Writing. KDD 2019: 2287-2295 - 2018
- [c6]Gagan Bansal, Daniel S. Weld:
A Coverage-Based Utility Model for Identifying Unknown Unknowns. AAAI 2018: 1463-1470 - [c5]Jocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners:
Secure and Automated Enterprise Revenue Forecasting. AAAI 2018: 7657-7664 - [c4]Gagan Bansal:
Explanatory Dialogs: Towards Actionable, Interactive Explanations. AIES 2018: 356-357 - [c3]Anmol Taneja, Gagan Bansal, Rohil Setia, N. Hema:
Moedor Cleaning Robot. IC3 2018: 1-5 - 2014
- [c2]Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam:
Hierarchical Summarization: Scaling Up Multi-Document Summarization. ACL (1) 2014: 902-912 - [c1]Xi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar:
Online Discovery of Group Level Events in Time Series. SDM 2014: 632-640
Informal and Other Publications
- 2024
- [i16]Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, Saleema Amershi:
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems. CoRR abs/2408.15247 (2024) - 2023
- [i15]Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal:
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations. CoRR abs/2301.07255 (2023) - [i14]Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan:
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions. CoRR abs/2302.07248 (2023) - [i13]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. CoRR abs/2306.04930 (2023) - [i12]Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang:
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. CoRR abs/2308.08155 (2023) - 2022
- [i11]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CoRR abs/2210.14306 (2022) - [i10]Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, Saleema Amershi:
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers. CoRR abs/2210.16494 (2022) - 2021
- [i9]Scott Roy, Cliff Brunk, Kyu-Young Kim, Justin Zhao, Markus Freitag, Mihir Kale, Gagan Bansal, Sidharth Mudgal, Chris Varano:
Using Machine Translation to Localize Task Oriented NLG Output. CoRR abs/2107.04512 (2021) - 2020
- [i8]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Optimizing AI for Teamwork. CoRR abs/2004.13102 (2020) - [i7]Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld:
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CoRR abs/2006.14779 (2020) - [i6]Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Robin Jia, Yashar Mehdad, Srinivasan Iyer:
Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA. CoRR abs/2012.15075 (2020) - 2019
- [i5]Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu:
Gmail Smart Compose: Real-Time Assisted Writing. CoRR abs/1906.00080 (2019) - [i4]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
A Case for Backward Compatibility for Human-AI Teams. CoRR abs/1906.01148 (2019) - 2018
- [i3]Daniel S. Weld, Gagan Bansal:
Intelligible Artificial Intelligence. CoRR abs/1803.04263 (2018) - [i2]John Akers, Gagan Bansal, Gabriel Cadamuro, Christine Chen, Quanze Chen, Lucy H. Lin, Phoebe Mulcaire, Rajalakshmi Nandakumar, Matthew Rockett, Lucy Simko, John Toman, Tongshuang Wu, Eric Zeng, Bill Zorn, Franziska Roesner:
Technology-Enabled Disinformation: Summary, Lessons, and Recommendations. CoRR abs/1812.09383 (2018) - 2017
- [i1]Amita Gajewar, Gagan Bansal:
Revenue Forecasting for Enterprise Products. CoRR abs/1701.06624 (2017)
Coauthor Index
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