Conference Papers Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack EMNLP 2026 Long P. Hoang*, Hai V. Le*, Shaoyang Xu, Wei Lu, Wenxuan Zhang Paper Code Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems EMNLP 2026 Findings Shaoyang Xu, Jingshen Zhang, Long P. Hoang, Jinyuan Li, Wenxuan Zhang Paper Code MoltNet: Understanding Social Behavior of AI Agents in the Agent-Native MoltBook COLM 2026 Yi Feng*, Chen Huang*, Zhibo Man*, Ryner Tan*, Long P. Hoang, Shaoyang Xu, Wenxuan Zhang Paper Code Difficulty–Diversity Collaborative Filtering for Data-Efficient LLM Fine-Tuning ICLR 2026 Long P. Hoang, Wenxuan Zhang, Wei Lu Paper Code Poster Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks AAAI 2025 Minh-Duc Nguyen, Mai Phuong Dinh, Huy Q. Nguyen, Long P. Hoang, Dung D. Le Paper Code Improving Pareto Front Learning via Multi-Sample Hypernetworks AAAI 2023 Oral Long P. Hoang, Dung D. Le, Thang N. Tran, Tuan A. Tran Paper Code Multi Deep Learning Model for Building Footprint Extraction from High Resolution Remote Sensing Image ICISN 2022 Anh T. Ho, Tuan A. Tran, Long P. Hoang, Ha H. Le, Thang N. Tran Paper Journal Papers A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications Neural Networks, 2023 Tuan A. Tran*, Long P. Hoang*, Dung D. Le, Thang N. Tran Paper Code Preprints Multilingual Fine-Tuning via Localized Gradient Conflict Resolution arXiv, 2026 Long P. Hoang, Yiran Zhao, Wei Lu, Wenxuan Zhang Paper Code
