3 papers
cs.AI2026
Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning
Zhaomeng Zhou, Lan Zhang, Junyang Wang +2
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…
cs.IR2024
RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
Yihang Cheng, Lan Zhang, Junyang Wang +2
Retrieval-augmented generation (RAG) improves the service quality of large language models by retrieving relevant documents from credible literature and integrating them into the c…