The rise and potential of large language model based agents: A survey Z Xi, W Chen, X Guo, W He, Y Ding, B Hong, M Zhang, J Wang, S Jin, ... arXiv preprint arXiv:2309.07864, 2023 | 280 | 2023 |
Vulcnn: An image-inspired scalable vulnerability detection system Y Wu, D Zou, S Dou, W Yang, D Xu, H Jin Proceedings of the 44th International Conference on Software Engineering …, 2022 | 71 | 2022 |
SCDetector: Software functional clone detection based on semantic tokens analysis Y Wu, D Zou, S Dou, S Yang, W Yang, F Cheng, H Liang, H Jin Proceedings of the 35th IEEE/ACM international conference on automated …, 2020 | 55 | 2020 |
Secrets of RLHF in large language models part I: PPO R Zheng, S Dou, S Gao, Y Hua, W Shen, B Wang, Y Liu, S Jin, Q Liu, ... arXiv preprint arXiv:2307.04964, 2023 | 51* | 2023 |
IntDroid: Android malware detection based on API intimacy analysis D Zou, Y Wu, S Yang, A Chauhan, W Yang, J Zhong, S Dou, H Jin ACM Transactions on Software Engineering and Methodology (TOSEM) 30 (3), 1-32, 2021 | 36 | 2021 |
MINER: Improving out-of-vocabulary named entity recognition from an information theoretic perspective X Wang, S Dou, L Xiong, Y Zou, Q Zhang, T Gui, L Qiao, Z Cheng, ... arXiv preprint arXiv:2204.04391, 2022 | 25 | 2022 |
Obfuscation-resilient android malware analysis based on contrastive learning Y Wu, S Dou, D Zou, W Yang, W Qiang, H Jin arXiv preprint arXiv:2107.03799, 2021 | 17 | 2021 |
Secrets of RLHF in Large Language Models Part II: Reward Modeling B Wang, R Zheng, L Chen, Y Liu, S Dou, C Huang, W Shen, S Jin, E Zhou, ... arXiv preprint arXiv:2401.06080, 2024 | 14* | 2024 |
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment S Dou, E Zhou, Y Liu, S Gao, J Zhao, W Shen, Y Zhou, Z Xi, X Wang, ... arXiv preprint arXiv:2312.09979, 2023 | 13* | 2023 |
Towards understanding the capability of large language models on code clone detection: a survey S Dou, J Shan, H Jia, W Deng, Z Xi, W He, Y Wu, T Gui, Y Liu, X Huang arXiv preprint arXiv:2308.01191, 2023 | 11* | 2023 |
Loose lips sink ships: Mitigating length bias in reinforcement learning from human feedback W Shen, R Zheng, W Zhan, J Zhao, S Dou, T Gui, Q Zhang, X Huang arXiv preprint arXiv:2310.05199, 2023 | 9 | 2023 |
Contrastive learning for robust android malware familial classification Y Wu, S Dou, D Zou, W Yang, W Qiang, H Jin IEEE Transactions on Dependable and Secure Computing, 2022 | 9 | 2022 |
Kernel-whitening: Overcome dataset bias with isotropic sentence embedding S Gao, S Dou, Q Zhang, X Huang arXiv preprint arXiv:2210.07547, 2022 | 6 | 2022 |
Decorrelate irrelevant, purify relevant: Overcome textual spurious correlations from a feature perspective S Dou, R Zheng, T Wu, S Gao, J Shan, Q Zhang, Y Wu, X Huang arXiv preprint arXiv:2202.08048, 2022 | 6 | 2022 |
Tailoring Personality Traits in Large Language Models via Unsupervisedly-Built Personalized Lexicons T Li, S Dou, C Lv, W Liu, J Xu, M Wu, Z Ling, Z Xiaoqing, X Huang arXiv preprint arXiv:2310.16582, 2024 | 4 | 2024 |
Tooleyes: Fine-grained evaluation for tool learning capabilities of large language models in real-world scenarios J Ye, G Li, S Gao, C Huang, Y Wu, S Li, X Fan, S Dou, Q Zhang, T Gui, ... arXiv preprint arXiv:2401.00741, 2024 | 3 | 2024 |
Open the Pandora's Box of LLMs: Jailbreaking LLMs through Representation Engineering T Li, S Dou, W Liu, M Wu, C Lv, X Zheng, X Huang arXiv preprint arXiv:2401.06824, 2024 | 2 | 2024 |
Delve into ppo: Implementation matters for stable rlhf R Zheng, S Dou, S Gao, Y Hua, W Shen, B Wang, Y Liu, S Jin, Y Zhou, ... NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | 2 | 2023 |
Gitor: Scalable Code Clone Detection by Building Global Sample Graph J Shan, S Dou, Y Wu, H Wu, Y Liu arXiv preprint arXiv:2311.08778, 2023 | 2 | 2023 |
Improving generalization of alignment with human preferences through group invariant learning R Zheng, W Shen, Y Hua, W Lai, S Dou, Y Zhou, Z Xi, X Wang, H Huang, ... arXiv preprint arXiv:2310.11971, 2023 | 2 | 2023 |