Triggerless Backdoor Attack for NLP Tasks with Clean Labels L Gan, J Li, T Zhang, X Li, Y Meng, F Wu, S Guo, C Fan NAACL 2022, 2022 | 77 | 2022 |
Hybrid computation offloading for smart home automation in mobile cloud computing J Zhang, Z Zhou, S Li, L Gan, X Zhang, L Qi, X Xu, W Dou Personal and Ubiquitous Computing 22, 121-134, 2018 | 70 | 2018 |
Judgment Prediction via Injecting Legal Knowledge into Neural Networks L Gan, K Kuang, Y Yang, F Wu AAAI 2021, 2021 | 60 | 2021 |
Investigating self-attention network for Chinese word segmentation L Gan, Y Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2933-2941, 2020 | 23 | 2020 |
Backdoor attacks on dense passage retrievers for disseminating misinformation Q Long, Y Deng, LL Gan, W Wang, S Jialin Pan arXiv e-prints, arXiv: 2402.13532, 2024 | 22 | 2024 |
Mars: Mixture of auto-regressive models for fine-grained text-to-image synthesis W He, S Fu, M Liu, X Wang, W Xiao, F Shu, Y Wang, L Zhang, Z Yu, H Li, ... AAAI 2025, 2024 | 21* | 2024 |
Semglove: Semantic co-occurrences for glove from bert L Gan, Z Teng, Y Zhang, L Zhu, F Wu, Y Yang IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2696-2704, 2022 | 21 | 2022 |
Dependency parsing as mrc-based span-span prediction L Gan, Y Meng, K Kuang, X Sun, C Fan, F Wu, J Li ACL 2022, 2021 | 21 | 2021 |
Loraretriever: Input-aware lora retrieval and composition for mixed tasks in the wild Z Zhao, L Gan, G Wang, W Zhou, H Yang, K Kuang, F Wu ACL 2024, 2024 | 20 | 2024 |
Defending against weight-poisoning backdoor attacks for parameter-efficient fine-tuning S Zhao, L Gan, LA Tuan, J Fu, L Lyu, M Jia, J Wen NAACL 2024, 2024 | 19 | 2024 |
Detecting and mitigating hallucination in large vision language models via fine-grained ai feedback W Xiao, Z Huang, L Gan, W He, H Li, Z Yu, H Jiang, F Wu, L Zhu AAAI 2025, 2024 | 17 | 2024 |
A Survey of Recent Backdoor Attacks and Defenses in Large Language Models S Zhao, M Jia, Z Guo, L Gan, X XU, X Wu, J Fu, F Yichao, F Pan, AT Luu Transactions on Machine Learning Research, 2025 | 10* | 2025 |
A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications W Xiao, Z Wang, L Gan, S Zhao, W He, LA Tuan, L Chen, H Jiang, Z Zhao, ... arXiv preprint arXiv:2410.15595, 2024 | 7* | 2024 |
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction L Gan, B Li, K Kuang, Y Zhang, L Wang, AT Luu, Y Yang, F Wu EMNLP 2023, 2022 | 7 | 2022 |
Retrieval-augmented mixture of lora experts for uploadable machine learning Z Zhao, L Gan, G Wang, Y Hu, T Shen, H Yang, K Kuang, F Wu arXiv preprint arXiv:2406.16989, 2024 | 5 | 2024 |
Dialogue inspectional summarization with factual inconsistency awareness L Gan, Y Zhang, K Kuang, L Yuan, S Li, C Sun, X Liu, F Wu arXiv preprint arXiv:2111.03284, 2021 | 4 | 2021 |
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples C Liu, L Gan, K Kuang, F Wu EMNLP 2022, 2022 | 2 | 2022 |
Weak-To-Strong Backdoor Attack for Large Language Models S Zhao, L Gan, Z Guo, X Wu, L Xiao, X Xu, CD Nguyen, LA Tuan arXiv preprint arXiv:2409.17946, 2024 | 1 | 2024 |
An LLMs-based neuro-symbolic legal judgment prediction framework for civil cases B Wei, Y Yu, L Gan, F Wu Artificial Intelligence and Law, 1-35, 2025 | | 2025 |
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering Y Hu, L Gan, W Xiao, K Kuang, F Wu COLING 2025 (Oral), 2025 | | 2025 |