| A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling Y Wang, X Liu, W Hu, T Zhang arXiv preprint arXiv:2210.08709, 2022 | 15 | 2022 |
| MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models Y Cai, L Wang, Y Wang, G de Melo, Y Zhang, Y Wang, L He arXiv preprint arXiv:2312.12806, 2023 | 8 | 2023 |
| Unicode: Learning a unified codebook for multimodal large language models S Zheng, B Zhou, Y Feng, Y Wang, Z Lu arXiv preprint arXiv:2403.09072, 2024 | 4 | 2024 |
| QuadrupedGPT: Towards a Versatile Quadruped Agent in Open-ended Worlds Y Wang, Y Mei, S Zheng, Q Jin arXiv preprint arXiv:2406.16578, 2024 | | 2024 |
| Can Large Language Models Recall Reference Location Like Humans? Y Wang, X Xu, R Xie, W Hu, W Ye arXiv preprint arXiv:2402.17010, 2024 | | 2024 |
| NN-Denoising: A Low-Noise Distantly Supervised Document-Level Relation Extraction Scheme Using Natural Language Inference and Negative Sampling M Pan, Y Wang, Z Chen International Conference on Artificial Neural Networks, 503-515, 2023 | | 2023 |
| Graph Self-Contrast Representation Learning M Chen, Y Cheng, Y Wang, X Li, M Gao arXiv preprint arXiv:2309.02304, 2023 | | 2023 |
| A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling Y Wang, H Pan, T Zhang, W Wu, W Hu arXiv preprint arXiv:2306.14806, 2023 | | 2023 |
tao zhangP.h.D Student, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
