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cs.LG2026

Last-Iterate Guarantees for Online Reinforcement Learning in Structured Constrained MDPs

Nam Phuong Tran, Trinh Ha Mai Huynh, Tuyen Pham Le +3

In safety-critical applications, deployment uses a single policy, whose performance and constraint satisfaction should hold directly rather than only for an average or mixture of t…

cs.CL2026

Meta-Learning Preferences for Multilingual LLM Alignment

Jiaying Lin, Seongho Son, Nam Phuong Tran +3

Unequal availability of human preference data across languages poses a significant challenge for aligning large language models in multilingual settings. To address the lack of suf…

cs.LG2026

Unlocking Compositional Generalization in Continual Few-Shot Learning

Phu-Quy Nguyen-Lam, Phu-Hoa Pham, Dao Sy Duy Minh +3

Object-centric representations promise a key property for few-shot learning: Rather than treating a scene as a single unit, a model can decompose it into individual object-level pa…

cs.CV2026

Weather-Robust Cross-View Geo-Localization via Prototype-Based Semantic Part Discovery

Chi-Nguyen Tran, Dao Sy Duy Minh, Huynh Trung Kiet +3

Cross-view geo-localization (CVGL), which matches an oblique drone view to a geo-referenced satellite tile, has emerged as a key alternative for autonomous drone navigation when GN…

cs.LG2026

MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound

Phu-Hoa Pham, Chi-Nguyen Tran, Nguyen Lam Phu Quy +3

Streaming decision trees are natural candidates for open-world continual learning, as they perform local updates, enjoy bounded memory, and static decision boundaries. Despite thes…

cs.CL2026

Training-Free Cultural Alignment of Large Language Models via Persona Disagreement

Huynh Trung Kiet, Dao Sy Duy Minh, Tuan Nguyen +5

Large language models increasingly mediate decisions that turn on moral judgement, yet a growing body of evidence shows that their implicit preferences are not culturally neutral.…

cs.GT2026

Extrapolating Volition with Recursive Information Markets

Abhimanyu Pallavi Sudhir, Long Tran-Thanh

One of the impediments to the efficiency of information markets is the inherent information asymmetry present in them, exacerbated by the "buyer's inspection paradox" (the buyer ca…