| Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning Q Li, S Huang, Y Hong, Y Chen, Y Wu, SC Zhu The 37th International Conference on Machine Learning (ICML 2020), 2020 | 76 | 2020 |
| 3d-llm: Injecting the 3d world into large language models Y Hong, H Zhen, P Chen, S Zheng, Y Du, Z Chen, C Gan arXiv preprint arXiv:2307.12981, 2023 | 71 | 2023 |
| Learning by Fixing: Solving Math Word Problems with Weak Supervision Y Hong, Q Li, D Ciao, S Huang, SC Zhu The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 50 | 2021 |
| Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks J Qin, X Liang, Y Hong, J Tang, L Lin ACL2021, 2021 | 43 | 2021 |
| Ptr: A benchmark for part-based conceptual, relational, and physical reasoning Y Hong, L Yi, J Tenenbaum, A Torralba, C Gan Advances in Neural Information Processing Systems 34, 17427-17440, 2021 | 36 | 2021 |
| A Competence-aware Curriculum for Visual Concepts Learning via Question Answering Q Li, S Huang, Y Hong, SC Zhu IEEE European Conference on Computer Vision (ECCV), 2020, 2020 | 32 | 2020 |
| SMART: A Situation Model for Algebra Story Problems via Attributed Grammar Y Hong, Q Li, R Gong, D Ciao, S Huang, SC Zhu The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 30 | 2021 |
| VLGrammar: Grounded Grammar Induction of Vision and Language Y Hong, Q Li, SC Zhu, S Huang ICCV2021, 2021 | 28 | 2021 |
| 3d concept learning and reasoning from multi-view images Y Hong, C Lin, Y Du, Z Chen, JB Tenenbaum, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 25 | 2023 |
| See, think, confirm: Interactive prompting between vision and language models for knowledge-based visual reasoning Z Chen, Q Zhou, Y Shen, Y Hong, H Zhang, C Gan arXiv preprint arXiv:2301.05226, 2023 | 19 | 2023 |
| 3d concept grounding on neural fields Y Hong, Y Du, C Lin, J Tenenbaum, C Gan Advances in Neural Information Processing Systems 35, 7769-7782, 2022 | 13 | 2022 |
| A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics Q Li, S Huang, Y Hong, Y Zhu, YN Wu, SC Zhu | 9* | 2022 |
| Academic Reader: An Interactive Question Answering System on Academic Literatures Y Hong, J Wang, Y Jia, W Zhang, X Wang Proceedings of the AAAI Conference on Artificial Intelligence 33, 2019 | 7 | 2019 |
| Fixing malfunctional objects with learned physical simulation and functional prediction Y Hong, K Mo, L Yi, LJ Guibas, A Torralba, JB Tenenbaum, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
| CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding J Li, D Chen, Y Hong, Z Chen, P Chen, Y Shen, C Gan arXiv preprint arXiv:2311.03354, 2023 | 2 | 2023 |
| 3D-VLA: A 3D Vision-Language-Action Generative World Model H Zhen, X Qiu, P Chen, J Yang, X Yan, Y Du, Y Hong, C Gan arXiv preprint arXiv:2403.09631, 2024 | 1 | 2024 |
| GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs Z Chen, R Sun, W Liu, Y Hong, C Gan arXiv preprint arXiv:2311.04901, 2023 | 1 | 2023 |
| Visual Chain-of-Thought Prompting for Knowledge-based Visual Reasoning Z Chen, Q Zhou, Y Shen, Y Hong, Z Sun, D Gutfreund, C Gan AAAI Conference on Artificial Intelligence, 2024 | | 2024 |
| MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World Y Hong, Z Zheng, P Chen, Y Wang, J Li, C Gan arXiv preprint arXiv:2401.08577, 2024 | | 2024 |
| Compositional VLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding J Li, D Chen, Y Hong, Z Chen, P Chen, Y Shen, C Gan The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
Chuang GanUMass Amherst | MIT-IBM Watson AI LabVerified email at csail.mit.edu
