| 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, ... Advances in Neural Information Processing Systems 35, 2507-2521, 2022 | 955 | 2022 |
| 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, ... arXiv preprint arXiv:2310.02255, 2023 | 381 | 2023 |
| 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 arXiv preprint arXiv:2110.13214, 2021 | 172 | 2021 |
| Theoremqa: A theorem-driven question answering dataset W Chen, M Yin, M Ku, P Lu, Y Wan, X Ma, J Xu, X Wang, T Xia Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 97 | 2023 |
| Mathvista: Evaluating math reasoning in visual contexts with gpt-4v, bard, and other large multimodal models P Lu, H Bansal, T Xia, J Liu, C Li, H Hajishirzi, H Cheng, KW Chang, ... arXiv e-prints, arXiv: 2310.02255, 2023 | 37 | 2023 |
| yue Li P Lu, H Bansal, T Xia, J Liu C., Hajishirzi, H., Cheng, H., Chang, KW, Galley, M., Gao, J.: Mathvista …, 2023 | 5 | 2023 |
| Learn to explain: Multimodal reasoning via thought chains for science question answering, 2022 P Lu, S Mishra, T Xia, L Qiu, KW Chang, SC Zhu, O Tafjord, P Clark, ... URL: https://arxiv. org/abs/2209.09513. doi 10, 0 | 5 | |