Gagan Bansal

51 papers A* 9A 1B 1C 1Journal 28Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generation Probabilities Are Not Enough: Uncertainty Highlighting in AI Code Completions.
ACM Trans. Comput. Hum. Interact.
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
2025 A* conf
Interactive Debugging and Steering of Multi-Agent AI Systems.
CHI
Will Epperson, Gagan Bansal, Victor C. Dibia, Adam Fourney, Jack Gerrits, Erkang (Eric) Zhu, Saleema Amershi
2025 J jnl
Interactive Debugging and Steering of Multi-Agent AI Systems.
CoRR
Will Epperson, Gagan Bansal, Victor Dibia, Adam Fourney, Jack Gerrits, Erkang Zhu, Saleema Amershi
2025 J jnl
Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets.
CoRR
Gagan Bansal, Wenyue Hua, Zezhou Huang, Adam Fourney, Amanda Swearngin, Will Epperson, Tyler Payne, Jake M. Hofman, Brendan Lucier, Chinmay Singh, Markus Mobius, Akshay Nambi, Archana Yadav, Kevin Gao, David M. Rothschild, Aleksandrs Slivkins, Daniel G. Goldstein, Hussein Mozannar, Nicole Immorlica, Maya Murad, Matthew Vogel, Subbarao Kambhampati, Eric Horvitz, Saleema Amershi
2025 J jnl
Magentic-UI: Towards Human-in-the-loop Agentic Systems.
CoRR
Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Jingya Chen, Jack Gerrits, Tyler Payne, Matheus Kunzler Maldaner, Madeleine Grunde-McLaughlin, Eric Zhu, Griffin Bassman, Jacob Alber, Peter Chang, Ricky Loynd, Friederike Niedtner, Ece Kamar, Maya Murad, Rafah Hosn, Saleema Amershi
2025 J jnl
Measuring AI agent autonomy: Towards a scalable approach with code inspection.
CoRR
Peter Cihon, Merlin Stein, Gagan Bansal, Sam Manning, Kevin Xu
2025 — conf
Navigating Rifts in Human-LLM Grounding: Study and Benchmark.
ACL (1)
Omar Shaikh, Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
2025 J jnl
Navigating Rifts in Human-LLM Grounding: Study and Benchmark.
CoRR
Omar Shaikh, Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
2025 J jnl
Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents.
CoRR
Enhao Zhang, Erkang Zhu, Gagan Bansal, Adam Fourney, Hussein Mozannar, Jack Gerrits
2024 — conf
AUTOGEN STUDIO: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems.
EMNLP (System Demonstrations)
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, Saleema Amershi
2024 J jnl
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems.
CoRR
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, Saleema Amershi
2024 J jnl
Automatic number plate detection and recognition using YOLO world.
Comput. Electr. Eng.
Vartika Agarwal, Gagan Bansal
2024 J jnl
Challenges in Human-Agent Communication.
CoRR
Gagan Bansal, Jennifer Wortman Vaughan, Saleema Amershi, Eric Horvitz, Adam Fourney, Hussein Mozannar, Victor Dibia, Daniel S. Weld
2024 J jnl
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks.
CoRR
Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor Dibia, Ahmed Awadallah, Ece Kamar, Rafah Hosn, Saleema Amershi
2024 A* conf
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming.
CHI
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
2024 — conf
Trust and Reliance in Evolving Human-AI Workflows (TREW).
CHI Extended Abstracts
Zahra Ashktorab, Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Tongshuang Wu, Wenjuan Zhang
2024 A* conf
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming.
AAAI
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
2023 — conf
Aligning Offline Metrics and Human Judgments of Value for Code Generation Models.
ACL (Findings)
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, Saleema Amershi
2023 J jnl
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework.
CoRR
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang
2023 J jnl
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions.
CoRR
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
2023 J jnl
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations.
CoRR
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
2023 J jnl
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations.
Proc. ACM Hum. Comput. Interact.
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
2023 J jnl
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming.
CoRR
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
2023 — conf
Workshop on Trust and Reliance in AI-Human Teams (TRAIT).
CHI Extended Abstracts
Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Simone Stumpf, Sherry Wu
2022 J jnl
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers.
CoRR
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, Saleema Amershi
2022 J jnl
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming.
CoRR
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
2022 — —
Three Maxims for Developing Human-Centered AI for DecisionMaking.
Gagan Bansal
2022 — conf
Workshop on Trust and Reliance in AI-Human Teams (TRAIT).
CHI Extended Abstracts
Gagan Bansal, Alison Marie Smith-Renner, Zana Buçinca, Tongshuang Wu, Kenneth Holstein, Jessica Hullman, Simone Stumpf
2021 — conf
Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations.
ACL/IJCNLP (Findings)
Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Yashar Mehdad, Robin Jia, Srinivasan Iyer
2021 A* conf
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance.
CHI
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
2021 A* conf
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork.
AAAI
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
2021 J jnl
Using Machine Translation to Localize Task Oriented NLG Output.
CoRR
Scott Roy, Cliff Brunk, Kyu-Young Kim, Justin Zhao, Markus Freitag, Mihir Kale, Gagan Bansal, Sidharth Mudgal, Chris Varano
2020 J jnl
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance.
CoRR
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
2020 J jnl
Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA.
CoRR
Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Robin Jia, Yashar Mehdad, Srinivasan Iyer
2020 J jnl
Optimizing AI for Teamwork.
CoRR
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
2019 J jnl
A Case for Backward Compatibility for Human-AI Teams.
CoRR
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
2019 B conf
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance.
HCOMP
Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz
2019 — conf
Emerging Perspectives in Human-Centered Machine Learning.
CHI Extended Abstracts
Gonzalo A. Ramos, Jina Suh, Soroush Ghorashi, Christopher Meek, Richard Banks, Saleema Amershi, Rebecca Fiebrink, Alison Smith-Renner, Gagan Bansal
2019 A* conf
Gmail Smart Compose: Real-Time Assisted Writing.
KDD
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
2019 J jnl
Gmail Smart Compose: Real-Time Assisted Writing.
CoRR
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
2019 J jnl
The challenge of crafting intelligible intelligence.
Commun. ACM
Daniel S. Weld, Gagan Bansal
2019 A* conf
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff.
AAAI
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
2018 A* conf
A Coverage-Based Utility Model for Identifying Unknown Unknowns.
AAAI
Gagan Bansal, Daniel S. Weld
2018 C conf
Explanatory Dialogs: Towards Actionable, Interactive Explanations.
AIES
Gagan Bansal
2018 J jnl
Intelligible Artificial Intelligence.
CoRR
Daniel S. Weld, Gagan Bansal
2018 — conf
Moedor Cleaning Robot.
IC3
Anmol Taneja, Gagan Bansal, Rohil Setia, N. Hema
2018 A* conf
Secure and Automated Enterprise Revenue Forecasting.
AAAI
Jocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners
2018 J jnl
Technology-Enabled Disinformation: Summary, Lessons, and Recommendations.
CoRR
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
2017 J jnl
Revenue Forecasting for Enterprise Products.
CoRR
Amita Gajewar, Gagan Bansal
2014 — conf
Hierarchical Summarization: Scaling Up Multi-Document Summarization.
ACL (1)
Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam
2014 A conf
Online Discovery of Group Level Events in Time Series.
SDM
Xi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar