| 2026 | HRI | Learning Contextually-Adaptive Rewards via Calibrated Features. | Alexandra Forsey-Smerek, Julie Shah, Andreea Bobu |
| 2025 | HRI | Questioning the Robot: Using Human Non-verbal Cues to Estimate the Need for Explanations. | Dimosthenis Kontogiorgos, Julie Shah |
| 2025 | IROS | Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection. | Michael Hagenow, Dimosthenis Kontogiorgos, Yanwei Wang, Julie Shah |
| 2025 | ICRA | Inference-Time Policy Steering Through Human Interactions. | Yanwei Wang, Lirui Wang, Yilun Du, Balakumar Sundaralingam, Xuning Yang, Yu-Wei Chao, Claudia Prez-D'Arpino, Dieter Fox, Julie Shah |
| 2025 | RO-MAN | Analyzing Reluctance to Ask for Help When Cooperating With Robots: Insights to Integrate Artificial Agents in HRC. | Ane San Martn, Michael Hagenow, Julie Shah, Johan Kildal, Elena Lazkano |
| 2024 | CHI | Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration. | Eike Schneiders, Christopher K. Fourie, Stanley Celestin, Julie Shah, Malte F. Jung |
| 2024 | CoRL | Adaptive Language-Guided Abstraction from Contrastive Explanations. | Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu |
| 2024 | ICLR | Learning with Language-Guided State Abstractions. | Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah |
| 2024 | ICLR | Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. | Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah |
| 2023 | AAAI | The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. | Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi |
| 2023 | EACL | The Solvability of Interpretability Evaluation Metrics. | Yilun Zhou, Julie Shah |
| 2023 | HRI | Transparent Value Alignment. | Lindsay Sanneman, Julie Shah |
| 2023 | ICLR | Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes. | Eoin M. Kenny, Mycal Tucker, Julie Shah |
| 2023 | ICML | Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. | Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal |
| 2023 | IJCAI | Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue. | Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai |
| 2022 | AAAI | Do Feature Attribution Methods Correctly Attribute Features? | Yilun Zhou, Serena Booth, Marco Tlio Ribeiro, Julie Shah |
| 2022 | CoRL | Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. | Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah |
| 2022 | HRI | Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning. | Serena Booth, Sanjana Sharma, Sarah Chung, Julie Shah, Elena L. Glassman |
| 2022 | HRI | Joint Action, Adaptation, and Entrainment in Human-Robot Interaction. | Christopher K. Fourie, Nadia Figueroa, Julie Shah, Marta Bienkiewicz, Benot G. Bardy, Etienne Burdet, Phani-Teja Singamaneni, Rachid Alami, Arianna Curioni, Gnther Knoblich, Wafa Johal, Dagmar Sternad, Malte F. Jung |
| 2022 | NAACL | When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes. | Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah |
| 2022 | NAACL | ExSum: From Local Explanations to Model Understanding. | Yilun Zhou, Marco Tlio Ribeiro, Julie Shah |
| 2021 | AAAI | Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. | Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah |
| 2021 | CoRL | RoCUS: Robot Controller Understanding via Sampling. | Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah |
| 2020 | HRI | Interactive Robot Training for Temporal Tasks. | Ankit J. Shah, Julie Shah |
| 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 | IJCAI | Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively. | Serena Booth, Christian Muise, Julie Shah |
| 2019 | IJCAI | Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations. | Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah |
| 2019 | WWW | Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. | Yilun Zhou, Steven Schockaert, Julie Shah |
| 2018 | IUI | Modality Switching for Mitigation of Sensory Adaptation and Habituation in Personal Navigation Systems. | Kyle Kotowick, Julie Shah |
| 2018 | UIST | Effects of an Adaptive Modality Selection Algorithm for Navigation Systems. | Kyle Kotowick, Julie Shah |
| 2017 | IUI | Intelligent Sensory Modality Selection for Electronic Supportive Devices. | Kyle Kotowick, Julie Shah |
| 2013 | CogSIMA | Quantitative estimation of the strength of agreements in goal-oriented meetings. | Been Kim, Larry A. M. Bush, Julie Shah |