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.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…
cs.CR2024
Secure Transformer Inference Protocol
Mu Yuan, Lan Zhang, Xiang-Yang Li
Security of model parameters and user data is critical for Transformer-based services, such as ChatGPT. While recent strides in secure two-party protocols have successfully address…