Multi-Reference Preference Optimization for Large Language Models
H. Le, Q. Tran, D. Nguyen, K. Do, S. Mittal, K. Ogueji, S. Venkatesh
2025 / pp. (accepted on Dec 10, 2024) / AAAI Conference on Artificial Intelligence (AAAI)
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models
Q. Le, L. H. Dang, N. H. Le, T. Tran, T. M. Le
2025 / pp. (accepted on Dec 10, 2024) / AAAI Conference on Artificial Intelligence (AAAI)
Learning Structural Causal Models from Ordering: Identifiable Flow Models
M. K. Le, K. Do, T. Tran
2025 / pp. (accepted on Dec 10, 2024) / AAAI Conference on Artificial Intelligence (AAAI)
Human-Aligned Skill Discovery: Balancing Behaviour Exploration and Alignment
M. Hussonnois, T. G. Karimpanal, S. Rana
2025 / pp. (accepted on Dec 20, 2024) / International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering
K. Pham, H. Le, M. Ngo, T. Tran
2025 / pp. (accepted on Jan 23, 2025) / International Conference on Learning Representations (ICLR)
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
H. Le, K. Do, D. Nguyen, S. Gupta, S. Venkatesh
2025 / pp. (accepted on Jan 23, 2025) / International Conference on Learning Representations (ICLR)
Causal Discovery via Bayesian Optimization
B. Duong, S. Gupta, T. Nguyen
2025 / pp. (accepted on Jan 23, 2025) / International Conference on Learning Representations (ICLR)
h-Edit: Effective and Flexible Diffusion-Based Editing via Doob’s h-Transform
T. Nguyen, K. Do, D. Kieu, T. Nguyen
2025 / pp. (accepted on Feb 27, 2025) / Conference on Computer Vision and Pattern Recognition (CVPR)
SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse
G. Do, H. Le, T. Tran
2025 / pp. (accepted on Jan 23, 2025) / Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)
ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs
A. Kassem, O. Mahmoud, N. Mireshghallah, H. Kim, Y. Tsvetkov, Y. Choi, S. Saad, S. Rana
2025 / pp. (accepted on Jan 23, 2025) / Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)
Machine learning for predicting the outcome of terminal ballistics events
S. Ryan, N. M. Sushma, A. K. AV, J. Berk, T. Hashem, S. Rana, S. Venkatesh
2024 / Vol. 31, pp. 14 - 26 / Defence Technology
A review of Whipple shield ballistic limit equations
S. Ryan, W. Schonberg
2024 / Vol. 187, pp. 104899 / International Journal of Impact Engineering
Approximate theory of armour perforation by ductile hole expansion
R. Masri, S. Ryan
2024 / Vol. 187, pp. 104925 / International Journal of Impact Engineering
Policy Learning for Off-Dynamics RL with Deficient Support
L. L. P. Van, H. Tran, S. Gupta
2024 / pp. Accepted on 21/12/2023 / International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
Domain Generalisation via Risk Distribution Matching
T. Nguyen, K. Do, B. Duong, T. Nguyen
2024 / pp. 2790 - 2799 / Winter Conference on Applications of Computer Vision (WACV)
Robust Estimation of Causal Heteroscedastic Noise Models
Q. Tran, B. Duong, P. Nguyen, T. Nguyen
2024 / pp. Accepted on 9/12/2023 / SIAM International Conference on Data Mining (SDM)
Talk with Ted: an embodied conversational agent for caregivers
M. K. Curumsing, J. R. Villicana, A. Vouliotis, K. Burns, M. Babaei, T. Petrovich, K. Mouzakis, R. Vasa
