Gagan Bansal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
8
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Navigating Rifts in Human-LLM Grounding: Study and Benchmark. | Omar Shaikh, Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz |
| 2025 | CHI | Interactive Debugging and Steering of Multi-Agent AI Systems. | Will Epperson, Gagan Bansal, Victor C. Dibia, Adam Fourney, Jack Gerrits, Erkang (Eric) Zhu, Saleema Amershi |
| 2024 | AAAI | When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. | Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz |
| 2024 | CHI | Trust and Reliance in Evolving Human-AI Workflows (TREW). | Zahra Ashktorab, Gagan Bansal, Zana Buinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Tongshuang Wu, Wenjuan Zhang |
| 2024 | CHI | Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. | Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz |
| 2024 | EMNLP | 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 |
| 2023 | ACL | 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 |
| 2023 | CHI | Workshop on Trust and Reliance in AI-Human Teams (TRAIT). | Gagan Bansal, Zana Buinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Simone Stumpf, Sherry Wu |
| 2022 | CHI | Workshop on Trust and Reliance in AI-Human Teams (TRAIT). | Gagan Bansal, Alison Marie Smith-Renner, Zana Buinca, Tongshuang Wu, Kenneth Holstein, Jessica Hullman, Simone Stumpf |
| 2021 | AAAI | Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. | Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld |
| 2021 | ACL | 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 |
| 2021 | CHI | 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 Tlio Ribeiro, Daniel S. Weld |
| 2019 | AAAI | 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 |
| 2019 | CHI | 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 |
| 2019 | HCOMP | 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 |
| 2019 | KDD | 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 |
| 2018 | AAAI | A Coverage-Based Utility Model for Identifying Unknown Unknowns. | Gagan Bansal, Daniel S. Weld |
| 2018 | AAAI | Secure and Automated Enterprise Revenue Forecasting. | Jocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners |
| 2018 | AIES | Explanatory Dialogs: Towards Actionable, Interactive Explanations. | Gagan Bansal |
| 2014 | ACL | Hierarchical Summarization: Scaling Up Multi-Document Summarization. | Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam |
| 2014 | SDM | Online Discovery of Group Level Events in Time Series. | Xi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar |