| Raft: Reward ranked finetuning for generative foundation model alignment H Dong, W Xiong, D Goyal, Y Zhang, W Chow, R Pan, S Diao, J Zhang, ... arXiv preprint arXiv:2304.06767, 2023 | 315 | 2023 |
| Graph-to-tree learning for solving math word problems J Zhang, L Wang, RKW Lee, Y Bin, Y Wang, J Shao, EP Lim Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 213 | 2020 |
| Template-based math word problem solvers with recursive neural networks L Wang, D Zhang, J Zhang, X Xu, L Gao, BT Dai, HT Shen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7144-7151, 2019 | 170 | 2019 |
| Modeling intra-relation in math word problems with different functional multi-head attentions J Li, L Wang, J Zhang, Y Wang, BT Dai, D Zhang Proceedings of the 57th annual meeting of the association for computational …, 2019 | 121 | 2019 |
| MWP-BERT: Numeracy-augmented pre-training for math word problem solving Z Liang, J Zhang, L Wang, W Qin, Y Lan, J Shao, X Zhang arXiv preprint arXiv:2107.13435, 2021 | 120* | 2021 |
| DetGPT: Detect What You Need via Reasoning R Pi, J Gao, S Diao, R Pan, H Dong, J Zhang, L Yao, J Han, H Xu, ... arXiv preprint arXiv:2305.14167, 2023 | 98 | 2023 |
| Speciality vs generality: An empirical study on catastrophic forgetting in fine-tuning foundation models Y Lin, L Tan, H Lin, Z Zheng, R Pi, J Zhang, S Diao, H Wang, H Zhao, ... arXiv preprint arXiv:2309.06256, 2023 | 96* | 2023 |
| G-llava: Solving geometric problem with multi-modal large language model J Gao, R Pi, J Zhang, J Ye, W Zhong, Y Wang, L Hong, J Han, H Xu, Z Li, ... arXiv preprint arXiv:2312.11370, 2023 | 79* | 2023 |
| Teacher-student networks with multiple decoders for solving math word problem J Zhang, RKW Lee, EP Lim, W Qin, L Wang, J Shao, Q Sun IJCAI, 2020 | 71 | 2020 |
| X2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks Y Zeng, X Zhang, H Li, J Wang, J Zhang, W Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 65 | 2023 |
| Lmflow: An extensible toolkit for finetuning and inference of large foundation models S Diao, R Pan, H Dong, KS Shum, J Zhang, W Xiong, T Zhang arXiv preprint arXiv:2306.12420, 2023 | 52 | 2023 |
| Mllm-protector: Ensuring mllm's safety without hurting performance R Pi, T Han, J Zhang, Y Xie, R Pan, Q Lian, H Dong, J Zhang, T Zhang arXiv preprint arXiv:2401.02906, 2024 | 47 | 2024 |
| Action-centric relation transformer network for video question answering J Zhang, J Shao, R Cao, L Gao, X Xu, HT Shen IEEE Transactions on Circuits and Systems for Video Technology 32 (1), 63-74, 2020 | 45 | 2020 |
| Execution-based evaluation for data science code generation models J Huang, C Wang, J Zhang, C Yan, H Cui, JP Inala, C Clement, N Duan, ... arXiv preprint arXiv:2211.09374, 2022 | 30 | 2022 |
| Analogical math word problems solving with enhanced problem-solution association Z Liang, J Zhang, X Zhang arXiv preprint arXiv:2212.00837, 2022 | 23 | 2022 |
| Unimath: A foundational and multimodal mathematical reasoner Z Liang, T Yang, J Zhang, X Zhang Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 22 | 2023 |
| Strengthening multimodal large language model with bootstrapped preference optimization R Pi, T Han, W Xiong, J Zhang, R Liu, R Pan, T Zhang European Conference on Computer Vision, 382-398, 2024 | 20 | 2024 |
| Perceptiongpt: Effectively fusing visual perception into llm R Pi, L Yao, J Gao, J Zhang, T Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 19 | 2024 |
| LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning R Pan, X Liu, S Diao, R Pi, J Zhang, C Han, T Zhang arXiv preprint arXiv:2403.17919, 2024 | 18 | 2024 |
| Toward building general foundation models for language, vision, and vision-language understanding tasks X Zhang, Y Zeng, J Zhang, H Li arXiv preprint arXiv:2301.05065, 2023 | 17 | 2023 |
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