| Do Feature Attribution Methods Correctly Attribute Features? Y Zhou, S Booth, MT Ribeiro, J Shah Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9623-9633, 2022 | 126 | 2022 |
| Asymptotically Optimal Planning by Feasible Kinodynamic Planning in a State–Cost Space K Hauser, Y Zhou IEEE Transactions on Robotics 32 (6), 1431-1443, 2016 | 106 | 2016 |
| 6DOF Grasp Planning by Optimizing a Deep Learning Scoring Function Y Zhou, K Hauser Robotics: Science and Systems (RSS) Workshop on Revisiting Contact - Turning …, 2017 | 41 | 2017 |
| ExSum: From Local Explanations to Model Understanding Y Zhou, MT Ribeiro, J Shah North American Chapter of the Association for Computational Linguistics (NAACL), 2022 | 29 | 2022 |
| Learning Household Task Knowledge from WikiHow Descriptions Y Zhou, J Shah, S Schockaert Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5), 50-56, 2019 | 29 | 2019 |
| Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example S Booth*, Y Zhou*, A Shah, J Shah Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11423 …, 2021 | 28* | 2021 |
| Latent Space Alignment Using Adversarially Guided Self-Play M Tucker, Y Zhou, JA Shah International Journal of Human–Computer Interaction 38 (18-20), 1753-1771, 2022 | 24* | 2022 |
| Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations S Huang, S Mamidanna, S Jangam, Y Zhou, LH Gilpin arXiv preprint arXiv:2310.11207, 2023 | 21 | 2023 |
| Incorporating Side-Channel Information into Convolutional Neural Networks for Robotic Tasks Y Zhou, K Hauser IEEE International Conference on Robotics and Automation (ICRA), 2177-2183, 2017 | 19 | 2017 |
| The Irrationality of Neural Rationale Models Y Zheng, S Booth, J Shah, Y Zhou 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP), 2022 | 18 | 2022 |
| RoCUS: Robot Controller Understanding via Sampling Y Zhou, S Booth, N Figueroa, J Shah Conference on Robot Learning (CoRL), 2021 | 14 | 2021 |
| Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness Y Zhou, S Schockaert, J Shah The World Wide Web Conference, 2460-2471, 2019 | 14 | 2019 |
| Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms Y Zhou, A Renduchintala, X Li, S Wang, Y Mehdad, A Ghoshal International Conference on Artificial Intelligence and Statistics, 1486-1494, 2021 | 13 | 2021 |
| Dynamic Prioritization of Traffic in Home Networks IN Bozkurt, Y Zhou, T Benson CoNEXT Student Workshop, 2015 | 10 | 2015 |
| Improving generalization in language model-based text-to-SQL semantic parsing: Two simple semantic boundary-based techniques D Rai, B Wang, Y Zhou, Z Yao arXiv preprint arXiv:2305.17378, 2023 | 9 | 2023 |
| Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment G Ghalme*, V Nair*, V Patil*, Y Zhou* International Conference on Autonomous Agents and Multiagent Systems, 525-533, 2022 | 9* | 2022 |
| The Solvability of Interpretability Evaluation Metrics Y Zhou, J Shah Findings of the Association for Computational Linguistics: EACL 2023, 2023 | 8 | 2023 |
| CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities Y Mao, Y Kim, Y Zhou arXiv preprint arXiv:2401.06961, 2024 | 4 | 2024 |
| Explaining large language model-based neural semantic parsers (student abstract) D Rai, Y Zhou, B Wang, Z Yao Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16308 …, 2023 | 4 | 2023 |
| Representing, Learning, and Controlling Complex Object Interactions Y Zhou, B Burchfiel, G Konidaris Autonomous robots 42 (7), 1355-1367, 2018 | 3* | 2018 |
Julie ShahProfessor, Department of Aeronautics and Astronautics, MIT在 csail.mit.edu 的电子邮件经过验证
