| Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering P Lu, S Mishra, T Xia, L Qiu, KW Chang, SC Zhu, O Tafjord, P Clark, ... Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 1057 | 2022 |
| LLaMA-Adapter: Efficient fine-tuning of language models with zero-init attention R Zhang, J Han, A Zhou, X Hu, S Yan, P Lu, H Li, P Gao, Y Qiao International Conference on Learning Representations (ICLR 2024), 2024 | 837 | 2024 |
| LLaMA-Adapter V2: Parameter-efficient visual instruction model P Gao, J Han, R Zhang, Z Lin, S Geng, A Zhou, W Zhang, P Lu, C He, ... arXiv preprint arXiv:2304.15010, 2023 | 552 | 2023 |
| MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts P Lu, H Bansal, T Xia, J Liu, C Li, H Hajishirzi, H Cheng, KW Chang, ... International Conference on Learning Representations (ICLR 2024), 2024 | 475 | 2024 |
| Dynamic Fusion With Intra-and Inter-Modality Attention Flow for Visual Question Answering P Gao, Z Jiang, H You, P Lu, SCH Hoi, X Wang, H Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), 6639 …, 2019 | 470* | 2019 |
| Chameleon: Plug-and-play compositional reasoning with large language models P Lu, B Peng, H Cheng, M Galley, KW Chang, YN Wu, SC Zhu, J Gao Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 411 | 2023 |
| Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning P Lu, L Qiu, KW Chang, YN Wu, SC Zhu, T Rajpurohit, P Clark, A Kalyan International Conference on Learning Representations (ICLR 2023), 2023 | 247 | 2023 |
| Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning P Lu, R Gong, S Jiang, L Qiu, S Huang, X Liang, SC Zhu Annual Meeting of the Association for Computational Linguistics (ACL 2021), 2021 | 201 | 2021 |
| IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning P Lu, L Qiu, J Chen, T Xia, Y Zhao, W Zhang, Z Yu, X Liang, SC Zhu Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 | 183 | 2021 |
| A Survey of Deep Learning for Mathematical Reasoning P Lu, L Qiu, W Yu, S Welleck, KW Chang Annual Meeting of the Association for Computational Linguistics (ACL 2023), 2023 | 137 | 2023 |
| MathVerse: Does your multi-modal llm truly see the diagrams in visual math problems? R Zhang, D Jiang, Y Zhang, H Lin, Z Guo, P Qiu, A Zhou, P Lu, KW Chang, ... European Conference on Computer Vision (ECCV 2024), 2024 | 135 | 2024 |
| Lila: A Unified Benchmark for Mathematical Reasoning S Mishra, M Finlayson, P Lu, L Tang, S Welleck, C Baral, T Rajpurohit, ... Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022 | 126 | 2022 |
| TheoremQA: A Theorem-driven Question Answering Dataset W Chen, M Yin, M Ku, E Wan, X Ma, J Xu, T Xia, X Wang, P Lu Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023 | 114 | 2023 |
| SciBench: Evaluating college-level scientific problem-solving abilities of large language models X Wang*, Z Hu*, P Lu*, Y Zhu*, J Zhang, S Subramaniam, AR Loomba, ... International Conference on Machine Learning (ICML 2024), 2024 | 108 | 2024 |
| SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models P Gao, R Zhang, C Liu, L Qiu, S Huang, W Lin, S Zhao, S Geng, Z Lin, ... International Conference on Machine Learning (ICML 2024), 2024 | 107* | 2024 |
| R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering P Lu, L Ji, W Zhang, N Duan, M Zhou, J Wang International Conference on Knowledge Discovery and Data Mining (SIGKDD 2018), 2018 | 104 | 2018 |
| Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering P Lu, H Li, W Zhang, J Wang, X Wang AAAI Conference on Artificial Intelligence (AAAI 2018), 2018 | 103 | 2018 |
| UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression J Chen, T Li, J Qin, P Lu, L Lin, C Chen, X Liang Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022 | 96 | 2022 |
| Question-Guided Hybrid Convolution for Visual Question Answering P Gao, P Lu, H Li, S Li, Y Li, S Hoi, X Wang European Conference on Computer Vision (ECCV 2018), 2018 | 91 | 2018 |
| Knowledge Aware Semantic Concept Expansion for Image-Text Matching B Shi, L Ji, P Lu, Z Niu, N Duan International Joint Conferences on Artificial Intelligence (IJCAI 2019), 2019 | 86* | 2019 |
Kai-Wei ChangAssociate Professor, UCLAE-mailová adresa ověřena na: kwchang.net
