@article{truong2025directed,title={Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models},author={Truong, Thanh-Dat and Tran, Huu-Thien and Son, Tran Thai and Raj, Bhiksha and Luu, Khoa},journal={Advances in Neural Information Processing Systems},year={2025},}
CVPRW’25
BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models
Huu-Thien Tran, Thanh-Dat Truong, and Khoa Luu
In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
@inproceedings{tran2025bima,title={BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models},author={Tran, Huu-Thien and Truong, Thanh-Dat and Luu, Khoa},booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},pages={5302--5311},year={2025},}
2024
ATC’24
MEX: Memory-efficient Approach to Referring Multi-Object Tracking
Huu-Thien Tran†, Phuoc-Sang Pham†, Thai-Son Tran, and 1 more author
In 2024 International Conference on Advanced Technologies for Communications (ATC), 2024
@inproceedings{tran2024mex,title={MEX: Memory-efficient Approach to Referring Multi-Object Tracking},author={Tran, Huu-Thien and Pham, Phuoc-Sang and Tran, Thai-Son and Luu, Khoa},booktitle={2024 International Conference on Advanced Technologies for Communications (ATC)},pages={550--555},year={2024},organization={IEEE},doi={10.1109/ATC63255.2024.10908144},}
ICST’24
KAT: Dependency-aware Automated API Testing with Large Language Models
Tri Le†, Huu-Thien Tran†, Duy Cao, and 3 more authors
In 2024 IEEE Conference on Software Testing, Verification and Validation (ICST), 2024
@inproceedings{le2024kat,title={KAT: Dependency-aware Automated API Testing with Large Language Models},author={Le, Tri and Tran, Huu-Thien and Cao, Duy and Le, Vy and Nguyen, Tien N and Nguyen, Vu},booktitle={2024 IEEE Conference on Software Testing, Verification and Validation (ICST)},pages={82--92},year={2024},organization={IEEE},doi={10.1109/ICST60714.2024.00017},}