SRCoT: Evidence-Based Text Generation via a Closed Retrieve--Reflect--Revise Loop for Edge LLMs
In brief
- SRCoT structures text generation into a Retrieve--Reflect--Revise loop for lightweight edge LLMs.
- The architecture separates knowledge sources and environmental state with traceable evidence.
- Tests on emergency simulators reveal limitations like provenance errors or unsafe assumptions.
SRCoT introduces a modular architecture for lightweight LLMs on edge devices, organizing text generation as a closed Retrieve--Reflect--Revise loop. It separates knowledge sources, environmental state, and short-term memory with traceable evidence. Tests on emergency medical simulators show structured documentation and explicit gap identification, but also reveal limitations like provenance errors or unsafe assumptions.
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