| INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection C Chen, K Liu, Z Chen, Y Gu, Y Wu, M Tao, Z Fu, J Ye arXiv preprint arXiv:2402.03744, 2024 | 43 | 2024 |
| Uncertainty-aware unsupervised multi-object tracking K Liu, S Jin, Z Fu, Z Chen, R Jiang, J Ye Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Category-extensible out-of-distribution detection via hierarchical context descriptions K Liu, Z Fu, C Chen, S Jin, Z Chen, M Tao, R Jiang, J Ye Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Optimal parameter and neuron pruning for out-of-distribution detection C Chen, Z Fu, K Liu, Z Chen, M Tao, J Ye Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| ESOD: Efficient Small Object Detection on High-Resolution Images K Liu, Z Fu, S Jin, Z Chen, F Zhou, R Jiang, Y Chen, J Ye IEEE Transactions on Image Processing, 2024 | 2 | 2024 |
| Delving into the Reversal Curse: How Far Can Large Language Models Generalize? Z Lin, Z Fu, K Liu, L Xie, B Lin, W Wang, D Cai, Y Wu, J Ye arXiv preprint arXiv:2410.18808, 2024 | | 2024 |
| Structure-aware Domain Knowledge Injection for Large Language Models K Liu, Z Chen, Z Fu, R Jiang, F Zhou, Y Chen, Y Wu, J Ye arXiv preprint arXiv:2407.16724, 2024 | | 2024 |
| Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution K Liu, Z Fu, S Jin, C Chen, Z Chen, R Jiang, F Zhou, Y Chen, J Ye arXiv preprint arXiv:2407.16430, 2024 | | 2024 |
| Enhancing LLM's Cognition via Structurization K Liu, Z Fu, C Chen, W Zhang, R Jiang, F Zhou, Y Chen, Y Wu, J Ye arXiv preprint arXiv:2407.16434, 2024 | | 2024 |
| Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge K Liu, Z Chen, Z Fu, R Jiang, F Zhou, Y Chen, Y Wu, J Ye arXiv e-prints, arXiv: 2407.16724, 2024 | | 2024 |
| Training-free Boost for Open-Vocabulary Object Detection with Confidence Aggregation Y Zheng, K Liu arXiv preprint arXiv:2404.08603, 2024 | | 2024 |
