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Kai Liu
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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
432024
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
102023
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
42024
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
32024
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
22024
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
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