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cs.AI2026
Nice Fold or Hero Call: Learning Budget-Efficient Thinking under Policy-Dependent Solvability
Zhaomeng Zhou, Lan Zhang, Junyang Wang +6
Large reasoning models (LRMs) improve problem solving through extended reasoning, but often misallocate test-time compute. Existing efficiency methods reduce cost by compressing re…
cs.AI2026
IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling
Zhaomeng Zhou, Lan Zhang, Junyang Wang +3
Intelligent systems powered by large-scale sensor networks are shifting from predefined monitoring to intent-driven operation, revealing a critical Semantic-to-Physical Mapping Gap…