| 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, ... arXiv preprint arXiv:2310.07521, 2023 | 159 | 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 IEEE Transactions on Visualization and Computer Graphics, 2022 | 146 | 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 | 116 | 2023 |
| SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction X Hu, L Wen, Y Xu, C Zhang, PS Yu EMNLP, 2020 | 96 | 2020 |
| Semi-supervised Relation Extraction via Incremental Meta Self-Training X Hu, F Ma, C Liu, C Zhang, L Wen, PS Yu EMNLP (Findings), 2021 | 82 | 2021 |
| A Semantic Invariant Robust Watermark for Large Language Models A Liu, L Pan, X Hu, S Meng, L Wen The Twelfth International Conference on Learning Representations, 2024 | 73* | 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 | 63 | 2021 |
| CLASSIC: Continual and contrastive learning of aspect sentiment classification tasks Z Ke, B Liu, H Xu, L Shu arXiv preprint arXiv:2112.02714, 2021 | 61 | 2021 |
| An unforgeable publicly verifiable watermark for large language models A Liu, L Pan, X Hu, S Li, L Wen, I King, SY Philip The Twelfth International Conference on Learning Representations, 2023 | 45* | 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 | 40* | 2024 |
| HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction S Liu*, X Hu*, C Zhang, S Li, L Wen, PS Yu NAACL, 2022 | 39 | 2022 |
| Pair-level supervised contrastive learning for natural language inference S Li, X Hu, L Lin, L Wen ICASSP, 2022 | 38 | 2022 |
| Graph Neural Network with Curriculum Learning for Imbalanced Node Classification X Li, L Wen, Y Deng, F Feng, X Hu, L Wang, Z Fan arXiv preprint arXiv:2202.02529, 2022 | 37 | 2022 |
| 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 | 33 | 2024 |
| 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 | 32 | 2022 |
| CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking X Hu, Z Guo, G Wu, A Liu, L Wen, PS Yu NAACL, 2022 | 32 | 2022 |
| Mr2: A benchmark for multimodal retrieval-augmented rumor detection in social media X Hu, Z Guo, J Chen, L Wen, PS Yu Proceedings of the 46th international ACM SIGIR conference on research and …, 2023 | 30 | 2023 |
| Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph A Liu, X Hu, L Lin, L Wen SIGKDD, 2022 | 30 | 2022 |
| Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution A Liu, H Yu, X Hu, S Li, L Lin, F Ma, Y Yang, L Wen EMNLP, 2022 | 27 | 2022 |
| A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference S Li, X Hu, L Lin, A Liu, L Wen, PS Yu Transactions on Audio, Speech and Language Processing, 2022 | 20 | 2022 |
Lijie Wen（闻立杰）Tenure Associate Professor, School of Software, Tsinghua UniversityVerified email at tsinghua.edu.cn
