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From the 1 of 9 linked papers with an AI index.

collaborators

9 papers

cs.CL2026

Meta-Learning Preferences for Multilingual LLM Alignment

Jiaying Lin, Seongho Son, Nam Phuong Tran +3

The paper introduces a meta-learning method that uses preference data from high-resource languages to quickly adapt large language models to low-resource languages with very few hu…

cs.LG2026

Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization

Tuan Nguyen, Long Tran-Thanh

Ensuring that large language models (LLMs) comply with safety requirements is a central challenge in AI deployment. Existing alignment approaches primarily operate during training,…

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.…