| Survey on factuality in large language models: Knowledge, retrieval and domain-specificity C Wang, X Liu, Y Yue, X Tang, T Zhang, C Jiayang, Y Yao, W Gao, X Hu, ... ACM Computing Surveys, 2023 | 351* | 2023 |
| Towards Natural Language Interfaces for Data Visualization: A Survey L Shen, E Shen, Y Luo, X Yang, X Hu, X Zhang, Z Tai, J Wang TVCG, 2022 | 244 | 2022 |
| A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability A Liu, X Hu, L Wen, PS Yu arXiv preprint arXiv:2303.13547, 2023 | 220* | 2023 |
| Do Large Language Models Know about Facts? X Hu, J Chen, X Li, Y Guo, L Wen, PS Yu, Z Guo ICLR (Spotlight), 2024 | 191* | 2024 |
| A survey of text watermarking in the era of large language models A Liu, L Pan, Y Lu, J Li, X Hu, X Zhang, L Wen, I King, H Xiong, P Yu ACM Computing Surveys 57 (2), 1-36, 2024 | 170 | 2024 |
| A Semantic Invariant Robust Watermark for Large Language Models A Liu, L Pan, X Hu, S Meng, L Wen ICLR, 2024 | 160 | 2024 |
| An unforgeable publicly verifiable watermark for large language models A Liu, L Pan, X Hu, S Li, L Wen, I King, PS Yu ICLR, 2023 | 145* | 2023 |
| SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction X Hu, L Wen, Y Xu, C Zhang, PS Yu EMNLP, 2020 | 118 | 2020 |
| Llm agents for education: Advances and applications Z Chu, S Wang, J Xie, T Zhu, Y Yan, J Ye, A Zhong, X Hu, J Liang, PS Yu, ... EMNLP (Findings), 2025 | 107* | 2025 |
| Semi-supervised Relation Extraction via Incremental Meta Self-Training X Hu, F Ma, C Liu, C Zhang, L Wen, PS Yu EMNLP (Findings), 2021 | 100 | 2021 |
| Graph Neural Network with Curriculum Learning for Imbalanced Node Classification X Li, L Wen, Y Deng, F Feng, X Hu, L Wang, Z Fan Neurocomputing, 2022 | 85 | 2022 |
| A comprehensive survey in llm (-agent) full stack safety: Data, training and deployment K Wang, G Zhang, Z Zhou, J Wu, M Yu, S Zhao, C Yin, J Fu, Y Yan, H Luo, ... arXiv preprint arXiv:2504.15585, 2025 | 78 | 2025 |
| Markllm: An open-source toolkit for llm watermarking L Pan, A Liu, Z He, Z Gao, X Zhao, Y Lu, B Zhou, S Liu, X Hu, L Wen, ... ACL, 2024 | 77 | 2024 |
| Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction X Hu, C Zhang, Y Yang, X Li, L Lin, L Wen, PS Yu EMNLP, 2021 | 70 | 2021 |
| Explainable and interpretable multimodal large language models: A comprehensive survey Y Dang, K Huang, J Huo, Y Yan, S Huang, D Liu, M Gao, J Zhang, C Qian, ... arXiv preprint arXiv:2412.02104, 2024 | 69 | 2024 |
| LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments J Chen, X Hu, S Liu, S Huang, WW Tu, Z He, L Wen ACL, 2024 | 69 | 2024 |
| CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking X Hu, Z Guo, G Wu, A Liu, L Wen, PS Yu NAACL, 2022 | 69 | 2022 |
| Continual training of language models for few-shot learning Z Ke, H Lin, Y Shao, H Xu, L Shu, B Liu arXiv preprint arXiv:2210.05549, 2022 | 57 | 2022 |
| Interpretable contrastive monte carlo tree search reasoning Z Gao, B Niu, X He, H Xu, H Liu, A Liu, X Hu, L Wen arXiv preprint arXiv:2410.01707, 2024 | 54 | 2024 |
| Mr2: A benchmark for multimodal retrieval-augmented rumor detection in social media X Hu, Z Guo, J Chen, L Wen, PS Yu SIGIR, 2901-2912, 2023 | 54 | 2023 |
Lijie Wen（闻立杰）Tenure Associate Professor, School of Software, Tsinghua UniversityVerified email at tsinghua.edu.cn
