Bastani, Osbert

Zero-Shot Learning Through Cross-Modal Transfer

Socher, R., Ganjoo, M., Sridhar, H., Bastani, O., Manning, C. D., & Ng, A. Y. (2013) · arXiv

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 997

Generative AI without guardrails can harm learning: Evidence from high school mathematics

Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2025) · Proceedings of the National Academy of Sciences

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 309

"How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations

Lakkaraju, H., & Bastani, O. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 241

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

Generative AI Can Harm Learning

Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2024) · SSRN Electronic Journal

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 208

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky, A., Pertsch, K., Nair, S., Balakrishna, A., Dasari, S., Karamcheti, S., Nasiriany, S., Srirama, M. K., Chen, L. Y., Ellis, K., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 159

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky, A., Pertsch, K., Nair, S., Balakrishna, A., Dasari, S., Karamcheti, S., Nasiriany, S., Srirama, M., Chen, L., Ellis, K., et al. (2024) · Robotics: Science and Systems XX

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 159

Learning Performance-Improving Code Edits

Shypula, A., Madaan, A., Zeng, Y., Alon, U., Gardner, J., Hashemi, M., Neubig, G., Ranganathan, P., Bastani, O., & Yazdanbakhsh, A. (2023) · arXiv

Software Engineering ResearchParallel Computing and Optimization Techniques

Cited by 146

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

Program synthesis using conflict-driven learning

Feng, Y., Martins, R., Bastani, O., & Dillig, I. (2018) · Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation

Evolutionary Algorithms and ApplicationsLogic, programming, and type systems

Cited by 111

Probabilistic verification of fairness properties via concentration

Bastani, O., Zhang, X., & Solar-Lezama, A. (2019) · Proceedings of the ACM on Programming Languages

Formal Methods in VerificationEthics and Social Impacts of AI

Cited by 57

TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

Li, S., Park, S., Lee, I., & Bastani, O. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 8

Self-Regulated AI Use Hinders Long-Term Learning

Poulidis, S., Bastani, H., & Bastani, O. (2025) · SSRN Electronic Journal

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 1

Evaluating the Diversity and Quality of LLM Generated Content

Shypula, A., Li, S., Zhang, B., Padmakumar, V., Yin, K., & Bastani, O. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1