12 citations · 16 across the 6 of their papers we have counts for
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cs.CL2024★ 1 cited
Asynchronous LLM Function Calling
In Gim, Seung-seob Lee, Lin Zhong
Large language models (LLMs) use function calls to interface with external tools and data source. However, the current approach to LLM function calling is inherently synchronous, w…
cs.CR2024★ 1 cited
Confidential Prompting: Privacy-preserving LLM Inference on Cloud
Caihua Li, In Gim, Lin Zhong
This paper introduces a vision of confidential prompting: securing user prompts from an untrusted, cloud-hosted large language model (LLM) while preserving model confidentiality, o…