Gagan Bansal

According to our database, Gagan Bansal authored at least 33 papers between 2014 and 2024.

Collaborative distances:

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

2024

AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems.

Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, Saleema Amershi

CoRR, 2024

Automatic number plate detection and recognition using YOLO world.

Vartika Agarwal, Gagan Bansal

Comput. Electr. Eng., 2024

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming.

Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz

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

Trust and Reliance in Evolving Human-AI Workflows (TREW).

Zahra Ashktorab, Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Tongshuang Wu, Wenjuan Zhang

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

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming.

Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations.

Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal

Proc. ACM Hum. Comput. Interact., 2023

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework.

Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang

CoRR, 2023

Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions.

Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan

CoRR, 2023

Workshop on Trust and Reliance in AI-Human Teams (TRAIT).

Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Simone Stumpf, Sherry Wu

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

Aligning Offline Metrics and Human Judgments of Value for Code Generation Models.

Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, Saleema Amershi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Three Maxims for Developing Human-Centered AI for DecisionMaking.

Gagan Bansal

PhD thesis, 2022

Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers.

Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, Saleema Amershi

CoRR, 2022

2021

Using Machine Translation to Localize Task Oriented NLG Output.

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

CoRR, 2021

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

Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld

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

Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

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

CoRR, 2020

Optimizing AI for Teamwork.

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

CoRR, 2020

2019

A Case for Backward Compatibility for Human-AI Teams.

Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz

CoRR, 2019

The challenge of crafting intelligible intelligence.

Daniel S. Weld, Gagan Bansal

Commun. ACM, 2019

Gmail Smart Compose: Real-Time Assisted Writing.

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance.

Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Emerging Perspectives in Human-Centered Machine Learning.

Gonzalo A. Ramos, Jina Suh, Soroush Ghorashi, Christopher Meek, Richard Banks, Saleema Amershi, Rebecca Fiebrink, Alison Smith-Renner, Gagan Bansal

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

Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff.

Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Technology-Enabled Disinformation: Summary, Lessons, and Recommendations.

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

CoRR, 2018

Intelligible Artificial Intelligence.

Daniel S. Weld, Gagan Bansal

CoRR, 2018

Moedor Cleaning Robot.

Anmol Taneja, Gagan Bansal, Rohil Setia, N. Hema

Proceedings of the 2018 Eleventh International Conference on Contemporary Computing, 2018

Explanatory Dialogs: Towards Actionable, Interactive Explanations.

Gagan Bansal

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

Secure and Automated Enterprise Revenue Forecasting.

Jocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Coverage-Based Utility Model for Identifying Unknown Unknowns.

Gagan Bansal, Daniel S. Weld

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Revenue Forecasting for Enterprise Products.

Amita Gajewar, Gagan Bansal

CoRR, 2017

2014

Online Discovery of Group Level Events in Time Series.

Xi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Hierarchical Summarization: Scaling Up Multi-Document Summarization.

Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014