Gagan Bansal

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Document Summarization

Machine Translation

Human Intelligence

Human Judgments

Top Venues

CHI Extended Abstracts

Publications

Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. AAAI (2024)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CHI (2024)
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)
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 (2023)
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)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. CoRR (2023)
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 (2023)
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)
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 (2023)
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) (2023)
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 (2022)
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)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CoRR (2022)
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 (2021)
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)
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)
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)
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
Optimizing AI for Teamwork. CoRR (2020)
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 (2020)
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 (2020)
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)
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)
Daniel S. Weld, Gagan Bansal
The challenge of crafting intelligible intelligence. Commun. ACM 62 (6) (2019)
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
A Case for Backward Compatibility for Human-AI Teams. CoRR (2019)
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)
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 (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
Gmail Smart Compose: Real-Time Assisted Writing. KDD (2019)
John Akers, Gagan Bansal, Gabriel Cadamuro, Christine Chen, Quanze Chen, Lucy 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 (2018)
Jocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners
Secure and Automated Enterprise Revenue Forecasting. AAAI (2018)
Daniel S. Weld, Gagan Bansal
Intelligible Artificial Intelligence. CoRR (2018)
Gagan Bansal
Explanatory Dialogs: Towards Actionable, Interactive Explanations. AIES (2018)
Gagan Bansal, Daniel S. Weld
A Coverage-Based Utility Model for Identifying Unknown Unknowns. AAAI (2018)
Anmol Taneja, Gagan Bansal, Rohil Setia, N. Hema
Moedor Cleaning Robot. IC3 (2018)
Amita Gajewar, Gagan Bansal
Revenue Forecasting for Enterprise Products. CoRR (2017)
Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam
Hierarchical Summarization: Scaling Up Multi-Document Summarization. ACL (1) (2014)
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)