| Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation X Ran, M Xu, L Mei, Q Xu, Q Liu Neural Networks 145, 199-208, 2022 | 40 | 2022 |
| Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts B Bi, S Liu, L Mei, Y Wang, P Ji, X Cheng arXiv preprint arXiv:2405.11613, 2024 | 2 | 2024 |
| Is factuality decoding a free lunch for llms? evaluation on knowledge editing benchmark B Bi, S Liu, Y Wang, L Mei, X Cheng arXiv preprint arXiv:2404.00216, 2024 | 2 | 2024 |
| LPNL: Scalable Link Prediction with Large Language Models B Bi, S Liu, Y Wang, L Mei, X Cheng arXiv preprint arXiv:2401.13227, 2024 | 2 | 2024 |
| SLANG: New Concept Comprehension of Large Language Models L Mei, S Liu, Y Wang, B Bi, X Cheng arXiv preprint arXiv:2401.12585, 2024 | 1 | 2024 |
| Graph Descriptive Order Improves Reasoning with Large Language Model. Y Ge, S Liu, W Feng, L Mei, L Chen, X Cheng arXiv, 2024 | 1 | 2024 |
| Weakly supervised attention inference generative adversarial network for text-to-image L Mei, X Ran, J Hu 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1574-1578, 2019 | 1 | 2019 |
| Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities B Bi, S Liu, Y Wang, L Mei, H Gao, Y Xu, X Cheng arXiv preprint arXiv:2406.12468, 2024 | | 2024 |
| " Not Aligned" is Not" Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak L Mei, S Liu, Y Wang, B Bi, J Mao, X Cheng arXiv preprint arXiv:2406.11668, 2024 | | 2024 |
Baolong BiInstitute of Computing Technology, Chinese Academy of Sciences在 ict.ac.cn 的电子邮件经过验证
