| Layoutlmv2: Multi-modal pre-training for visually-rich document understanding Y Xu, Y Xu, T Lv, L Cui, F Wei, G Wang, Y Lu, D Florencio, C Zhang, ... arXiv preprint arXiv:2012.14740, 2020 | 485 | 2020 |
| Layoutlmv3: Pre-training for document ai with unified text and image masking Y Huang, T Lv, L Cui, Y Lu, F Wei Proceedings of the 30th ACM International Conference on Multimedia, 4083-4091, 2022 | 380 | 2022 |
| Language is not all you need: Aligning perception with language models S Huang, L Dong, W Wang, Y Hao, S Singhal, S Ma, T Lv, L Cui, ... Advances in Neural Information Processing Systems 36, 72096-72109, 2023 | 378 | 2023 |
| Trocr: Transformer-based optical character recognition with pre-trained models M Li, T Lv, J Chen, L Cui, Y Lu, D Florencio, C Zhang, Z Li, F Wei Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13094 …, 2023 | 343 | 2023 |
| Hierarchical attention prototypical networks for few-shot text classification S Sun, Q Sun, K Zhou, T Lv Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 144 | 2019 |
| Dit: Self-supervised pre-training for document image transformer J Li, Y Xu, T Lv, L Cui, C Zhang, F Wei Proceedings of the 30th ACM International Conference on Multimedia, 3530-3539, 2022 | 142 | 2022 |
| Layoutxlm: Multimodal pre-training for multilingual visually-rich document understanding Y Xu, T Lv, L Cui, G Wang, Y Lu, D Florencio, C Zhang, F Wei arXiv preprint arXiv:2104.08836, 2021 | 118 | 2021 |
| Document AI: Benchmarks, Models and Applications FW Lei Cui, Yiheng Xu, Tengchao Lv CCL 2021, 2021 | 70* | 2021 |
| XFUND: a benchmark dataset for multilingual visually rich form understanding Y Xu, T Lv, L Cui, G Wang, Y Lu, D Florencio, C Zhang, F Wei Findings of the Association for Computational Linguistics: ACL 2022, 3214-3224, 2022 | 58 | 2022 |
| Textdiffuser: Diffusion models as text painters J Chen, Y Huang, T Lv, L Cui, Q Chen, F Wei Advances in Neural Information Processing Systems 36, 2024 | 51 | 2024 |
| Kosmos-2.5: A multimodal literate model T Lv, Y Huang, J Chen, L Cui, S Ma, Y Chang, S Huang, W Wang, L Dong, ... arXiv preprint arXiv:2309.11419, 2023 | 31 | 2023 |
| Textdiffuser-2: Unleashing the power of language models for text rendering J Chen, Y Huang, T Lv, L Cui, Q Chen, F Wei arXiv preprint arXiv:2311.16465, 2023 | 23 | 2023 |
| XDoc: Unified pre-training for cross-format document understanding J Chen, T Lv, L Cui, C Zhang, F Wei arXiv preprint arXiv:2210.02849, 2022 | 11 | 2022 |
| Vt-ssum: A benchmark dataset for video transcript segmentation and summarization T Lv, L Cui, M Vasilijevic, F Wei arXiv preprint arXiv:2106.05606, 2021 | 9 | 2021 |
| A simple yet effective learnable positional encoding method for improving document transformer model G Wang, Y Lu, L Cui, T Lv, D Florencio, C Zhang Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022 …, 2022 | 6 | 2022 |
| Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners K Zheng, Q Sun, Y Yang, T Lv, Y Pi, C Zhao, F Xu, Q Zhang Findings of the Association for Computational Linguistics: ACL 2023, 13495-13507, 2023 | | 2023 |
| TextDiffuser: Diffusion Models as Text Painters FW Jingye Chen, YupanHuang, Tengchao Lv, Lei Cui, Qifeng Chen https://arxiv.org/pdf/2305.10855.pdf, 0 | | |
