Leilei Gan
Leilei Gan
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Cited by
Cited by
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
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
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
Judgment Prediction via Injecting Legal Knowledge into Neural Networks
L Gan, K Kuang, Y Yang, F Wu
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 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
Dependency parsing as mrc-based span-span prediction
L Gan, Y Meng, K Kuang, X Sun, C Fan, F Wu, J Li
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2021
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
Backdoor attacks on dense passage retrievers for disseminating misinformation
Q Long, Y Deng, LL Gan, W Wang, SJ Pan
arXiv preprint arXiv:2402.13532, 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
arXiv preprint arXiv:2402.12168, 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
arXiv preprint arXiv:2211.08238, 2022
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
arXiv preprint arXiv:2404.14233, 2024
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
arXiv preprint arXiv:2402.09997, 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
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples
C Liu, L Gan, K Kuang, F Wu
The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
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, ...
arXiv preprint arXiv:2407.07614, 2024
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
A Survey of Backdoor Attacks and Defenses on Large Language Models: Implications for Security Measures
S Zhao, M Jia, Z Guo, L Gan, J Fu, Y Feng, F Pan, LA Tuan
arXiv preprint arXiv:2406.06852, 2024
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