Hierarchical Summarization: Scaling Up Multi-Document Summarization. - Janara Christensen; Stephen Soderland; Gagan Bansal; Mausam (ACL (1), 2014)

Online Discovery of Group Level Events in Time Series. - Xi C. Chen; Abdullah Mueen; Vijay K. Narayanan; Nikos Karampatziakis; Gagan Bansal; Vipin Kumar (SDM, 2014)

Revenue Forecasting for Enterprise Products. - Amita Gajewar; Gagan Bansal (CoRR, 2017)

A Coverage-Based Utility Model for Identifying Unknown Unknowns. - Gagan Bansal; Daniel S. Weld (AAAI, 2018)

Secure and Automated Enterprise Revenue Forecasting. - Jocelyn Barker; Amita Gajewar; Konstantin Golyaev; Gagan Bansal; Matt Conners (AAAI, 2018)

Explanatory Dialogs: Towards Actionable, Interactive Explanations. - Gagan Bansal (AIES, 2018)

Moedor Cleaning Robot. - Anmol Taneja; Gagan Bansal; Rohil Setia; N. Hema (IC3, 2018)

Intelligible Artificial Intelligence. - Daniel S. Weld; Gagan Bansal (CoRR, 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; et al. (CoRR, 2018)

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 (AAAI, 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 (CHI Extended Abstracts, 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 (HCOMP, 2019)

Gmail Smart Compose: Real-Time Assisted Writing. - Mia Xu Chen; Benjamin N. Lee; Gagan Bansal; Yuan Cao 007; Shuyuan Zhang 002; Justin Lu; Jackie Tsay; Yinan Wang; Andrew M. Dai; Zhifeng Chen; Timothy Sohn; Yonghui Wu (KDD, 2019)

The challenge of crafting intelligible intelligence. - Daniel S. Weld; Gagan Bansal (Commun. ACM, 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)

Optimizing AI for Teamwork. - Gagan Bansal; Besmira Nushi; Ece Kamar; Eric Horvitz; Daniel S. Weld (CoRR, 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 001 (CoRR, 2020)

Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. - Gagan Bansal; Besmira Nushi; Ece Kamar; Eric Horvitz; Daniel S. Weld (AAAI, 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 001 (ACL/IJCNLP (Findings), 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 (CHI, 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)

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)

Three Maxims for Developing Human-Centered AI for DecisionMaking. - Gagan Bansal (2022)

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 (ACL (Findings), 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 (CHI Extended Abstracts, 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)

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. - Qingyun Wu; Gagan Bansal; Jieyu Zhang 001; Yiran Wu; Shaokun Zhang; Erkang Zhu; Beibin Li; Li Jiang; Xiaoyun Zhang; Chi Wang 001 (CoRR, 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)

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. - Hussein Mozannar; Gagan Bansal; Adam Fourney; Eric Horvitz (AAAI, 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 (CHI Extended Abstracts, 2024)

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. - Hussein Mozannar; Gagan Bansal; Adam Fourney; Eric Horvitz (CHI, 2024)

Automatic number plate detection and recognition using YOLO world. - Vartika Agarwal; Gagan Bansal (Comput. Electr. Eng., 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 001; Saleema Amershi (CoRR, 2024)

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks. - Adam Fourney; Gagan Bansal; Hussein Mozannar; Cheng Tan; Eduardo Salinas; Erkang Zhu; Friederike Niedtner; Grace Proebsting; Griffin Bassman; Jack Gerrits; Jacob Alber; Peter Chang; et al. (CoRR, 2024)

Challenges in Human-Agent Communication. - Gagan Bansal; Jennifer Wortman Vaughan; Saleema Amershi; Eric Horvitz; Adam Fourney; Hussein Mozannar; Victor Dibia; Daniel S. Weld (CoRR, 2024)

Navigating Rifts in Human-LLM Grounding: Study and Benchmark. - Omar Shaikh; Hussein Mozannar; Gagan Bansal; Adam Fourney; Eric Horvitz (ACL (1), 2025)

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 (CHI, 2025)

Measuring AI agent autonomy: Towards a scalable approach with code inspection. - Peter Cihon; Merlin Stein; Gagan Bansal; Sam Manning; Kevin Xu (CoRR, 2025)

Generation Probabilities Are Not Enough: Uncertainty Highlighting in AI Code Completions. - Helena Vasconcelos; Gagan Bansal; Adam Fourney; Q. Vera Liao; Jennifer Wortman Vaughan (ACM Trans. Comput. Hum. Interact., 2025)

Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents. - Enhao Zhang; Erkang Zhu; Gagan Bansal; Adam Fourney; Hussein Mozannar; Jack Gerrits (CoRR, 2025)

Magentic-UI: Towards Human-in-the-loop Agentic Systems. - 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; et al. (CoRR, 2025)