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Using Machine Translation to Localize Task Oriented NLG Output

Jul 09, 2021
Scott Roy, Cliff Brunk, Kyu-Young Kim, Justin Zhao, Markus Freitag, Mihir Kale, Gagan Bansal, Sidharth Mudgal, Chris Varano

* 12 pages, 10 figures 

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Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA

Dec 30, 2020
Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Robin Jia, Yashar Mehdad, Srinivasan Iyer

* pre-print 

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Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Jun 30, 2020
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Tulio Ribeiro, Daniel S. Weld

* Draft/pre-print 

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Optimizing AI for Teamwork

Apr 27, 2020
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld

* Pre-print/Draft 

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A Case for Backward Compatibility for Human-AI Teams

Jun 04, 2019
Gagan Bansal, Besmira Nushi, Ece Kamar, Dan Weld, Walter Lasecki, Eric Horvitz

* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA 

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Gmail Smart Compose: Real-Time Assisted Writing

May 17, 2019
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

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The Challenge of Crafting Intelligible Intelligence

Oct 15, 2018
Daniel S. Weld, Gagan Bansal

* arXiv admin note: text overlap with arXiv:1603.08507 by other authors 

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Revenue Forecasting for Enterprise Products

Nov 21, 2016
Amita Gajewar, Gagan Bansal

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