| 2026 | EACL | Tandem Training for Language Models. | Robert West, Ashton Anderson, Ece Kamar, Eric Horvitz |
| 2024 | ICLR | Teaching Language Models to Hallucinate Less with Synthetic Tasks. | Erik Jones, Hamid Palangi, Clarisse Simes, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar |
| 2024 | ICLR | Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. | Mert Yksekgnl, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi |
| 2023 | ACL | Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions. | John Joon Young Chung, Ece Kamar, Saleema Amershi |
| 2022 | AAAI | Investigations of Performance and Bias in Human-AI Teamwork in Hiring. | Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar |
| 2022 | ACL | ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. | Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar |
| 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 | AAAI | Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions. | Jonathan Martinez, Kobi Gal, Ece Kamar, Levi H. S. Lelis |
| 2021 | AIES | Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. | Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, Hanna M. Wallach |
| 2021 | AIES | Understanding the Representation and Representativeness of Age in AI Data Sets. | Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris |
| 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 |
| 2021 | CVPR | Understanding Failures of Deep Networks via Robust Feature Extraction. | Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz |
| 2020 | AAAI | Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract). | Zheng Wang, Bruno D. Abrahao, Ece Kamar |
| 2020 | CHI | Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism. | Keri Mallari, Kori Inkpen, Paul Johns, Sarah Tan, Divya Ramesh, Ece Kamar |
| 2020 | CVPR | SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. | Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Tlio Ribeiro, Besmira Nushi, Ece Kamar |
| 2020 | IJCAI | A Multi-Objective Approach to Mitigate Negative Side Effects. | Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein |
| 2020 | IJCAI | Learning to Complement Humans. | Bryan Wilder, Eric Horvitz, Ece Kamar |
| 2020 | KDD | An Empirical Analysis of Backward Compatibility in Machine Learning Systems. | Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz |
| 2020 | WWW | Towards Hybrid Human-AI Workflows for Unknown Unknown Detection. | Anthony Z. Liu, Santiago Guerra, Isaac Fung, Gabriel Matute, Ece Kamar, Walter S. Lasecki |
| 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 | AAAI | Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. | Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz |
| 2019 | AIES | Faithful and Customizable Explanations of Black Box Models. | Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Jure Leskovec |
| 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 | HCOMP | Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere. | Shayan Doroudi, Ece Kamar, Emma Brunskill |
| 2019 | HCOMP | What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. | Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar |
| 2019 | ICSE | Software engineering for machine learning: a case study. | Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald C. Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, Thomas Zimmermann |
| 2019 | WWW | Studying Preferences and Concerns about Information Disclosure in Email Notifications. | Yongsung Kim, Adam Fourney, Ece Kamar |
| 2018 | AAAI | Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science. | Avi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller |
| 2018 | HCOMP | Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. | Besmira Nushi, Ece Kamar, Eric Horvitz |
| 2018 | IJCAI | Evaluating and Complementing Vision-to-Language Technology for People who are Blind with Conversational Crowdsourcing. | Elliot Salisbury, Ece Kamar, Meredith Ringel Morris |
| 2017 | AAAI | Complementing the Execution of AI Systems with Human Computation. | Ece Kamar, Lydia Manikonda |
| 2017 | AAAI | Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration. | Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz |
| 2017 | AAAI | On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. | Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann |
| 2017 | CHI | Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets. | Joseph Chee Chang, Saleema Amershi, Ece Kamar |
| 2017 | CSCW | Communicating Context to the Crowd for Complex Writing Tasks. | Niloufar Salehi, Jaime Teevan, Shamsi T. Iqbal, Ece Kamar |
| 2017 | HCOMP | CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. | Harmanpreet Kaur, Mitchell L. Gordon, Yiwei Yang, Jeffrey P. Bigham, Jaime Teevan, Ece Kamar, Walter S. Lasecki |
| 2017 | HCOMP | Toward Scalable Social Alt Text: Conversational Crowdsourcing as a Tool for Refining Vision-to-Language Technology for the Blind. | Elliot Salisbury, Ece Kamar, Meredith Ringel Morris |
| 2017 | IJCAI | Explanation Systems for Influence Maximization Algorithms. | Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha |
| 2016 | CHI | Toward a Learning Science for Complex Crowdsourcing Tasks. | Shayan Doroudi, Ece Kamar, Emma Brunskill, Eric Horvitz |
| 2016 | IJCAI | Interactive Teaching Strategies for Agent Training. | Ofra Amir, Ece Kamar, Andrey Kolobov, Barbara J. Grosz |
| 2016 | IJCAI | Directions in Hybrid Intelligence: Complementing AI Systems with Human Intelligence. | Ece Kamar |
| 2016 | IJCAI | Intervention Strategies for Increasing Engagement in Crowdsourcing: Platform, Predictions, and Experiments. | Avi Segal, Ya'akov (Kobi) Gal, Ece Kamar, Eric Horvitz, Alex Bowyer, Grant Miller |
| 2015 | HCOMP | Identifying and Accounting for Task-Dependent Bias in Crowdsourcing. | Ece Kamar, Ashish Kapoor, Eric Horvitz |
| 2015 | IJCAI | Metareasoning for Planning Under Uncertainty. | Christopher H. Lin, Andrey Kolobov, Ece Kamar, Eric Horvitz |
| 2014 | AAAI | Signals in the Silence: Models of Implicit Feedback in a Recommendation System for Crowdsourcing. | Christopher H. Lin, Ece Kamar, Eric Horvitz |
| 2014 | AAAI | Stochastic Privacy. | Adish Singla, Eric Horvitz, Ece Kamar, Ryen White |
| 2014 | CSCW | Information extraction and manipulation threats in crowd-powered systems. | Walter S. Lasecki, Jaime Teevan, Ece Kamar |
| 2014 | INLG | Crowdsourcing Language Generation Templates for Dialogue Systems. | Margaret Mitchell, Dan Bohus, Ece Kamar |
| 2013 | HCOMP | Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing. | Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E. Schwamb, Chris J. Lintott, Arfon M. Smith |
| 2013 | HCOMP | Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing. | Andrew Mao, Ece Kamar, Eric Horvitz |
| 2013 | IJCAI | Lifelong Learning for Acquiring the Wisdom of the Crowd. | Ece Kamar, Ashish Kapoor, Eric Horvitz |
| 2013 | IJCAI | Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence. | Stephanie Rosenthal, Dan Bohus, Ece Kamar, Eric Horvitz |
| 2012 | AAMAS | Incentives for truthful reporting in crowdsourcing. | Ece Kamar, Eric Horvitz |
| 2012 | AAMAS | Combining human and machine intelligence in large-scale crowdsourcing. | Ece Kamar, Severin Hacker, Eric Horvitz |
| 2012 | NAACL | Towards Situated Collaboration. | Dan Bohus, Ece Kamar, Eric Horvitz |
| 2009 | IJCAI | Collaboration and Shared Plans in the Open World: Studies of Ridesharing. | Ece Kamar, Eric Horvitz |
| 2007 | AAAI | Modeling User Perception of Interaction Opportunities in Collaborative Human-Computer Settings. | Ece Kamar, Barbara J. Grosz, David Sarne |