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Gagan Bansal
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Publications
- 2024
- [c17]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. AAAI 2024: 10137-10144 - 2023
- [j2]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): 1-32 (2023) - [c16]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: 8516-8528 - [c15]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: 371:1-371:6 - [i15]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 abs/2301.07255 (2023) - [i14]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 abs/2302.07248 (2023) - [i13]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. CoRR abs/2306.04930 (2023) - [i12]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 abs/2308.08155 (2023) - 2022
- [c14]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: 116:1-116:6 - [i11]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CoRR abs/2210.14306 (2022) - [i10]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 abs/2210.16494 (2022) - 2021
- [c13]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: 11405-11414 - [c11]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: 81:1-81:16 - 2020
- [i8]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Optimizing AI for Teamwork. CoRR abs/2004.13102 (2020) - [i7]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 abs/2006.14779 (2020) - 2019
- [j1]Daniel S. Weld, Gagan Bansal:
The challenge of crafting intelligible intelligence. Commun. ACM 62(6): 70-79 (2019) - [c10]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: 2429-2437 - [c9]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 - [c8]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: 2-11 - [i4]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
A Case for Backward Compatibility for Human-AI Teams. CoRR abs/1906.01148 (2019) - 2018
- [c6]Gagan Bansal, Daniel S. Weld:
A Coverage-Based Utility Model for Identifying Unknown Unknowns. AAAI 2018: 1463-1470 - [i3]Daniel S. Weld, Gagan Bansal:
Intelligible Artificial Intelligence. CoRR abs/1803.04263 (2018) - [i2]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:
Technology-Enabled Disinformation: Summary, Lessons, and Recommendations. CoRR abs/1812.09383 (2018) - 2014
- [c2]Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam:
Hierarchical Summarization: Scaling Up Multi-Document Summarization. ACL (1) 2014: 902-912
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