Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution
3.60T1 sourcearXiv cs.MA
arXiv cs.MAoriginal source ↗
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.01366.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPAWNI is an 8-agent conversational system that converts unstructured queries into structured prompts via guided Q&A and a self-evolving knowledge base. A within-subjects study (N=4) with EEG and NASA-TLX found prompt completeness rose from 42% to 91%, with lower workload and single-turn task completion.
Why it mattersConcrete 18-element prompt taxonomy paired with a multi-agent design. Sample is tiny, but the front-load-intent approach merits piloting in real workflows.
Cited by
No citations on record.