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cs.LG2026
Dynamic Minimax Regret Optimization for Robust LLM Post-Training
Chengbo Zang, Haoyu Dong, Mehmet Kerem Turkcan +3
Modern LLM training increasingly relies on heterogeneous data sources spanning different domains, tasks, preference distributions, and difficulty levels. We study dynamic minimax r…
cs.LG2026
Multi-Pedestrian Safety Warning at Urban Intersections Use Case of Digital Twin
Yongjie Fu, Qi Gao, Mahshid Ghasemi Dehkordi +2
Digital twins (DTs) for urban transportation systems have gained increasing attention; however, their systematic evaluation in safety-critical scenarios remains limited. This paper…