A multi-agent system with finite state machine for therapeutic stages was perceived as significantly more natural and human-like than single-agent or unguided LLM versions in an RCT with 66 participants.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
A multi-agent LLM-based framework extracts knowledge graphs from 50 real Ethernet switch manuals with 0.97-0.99 correctness to enable downstream test case specification generation.
citing papers explorer
-
Structure Matters: Evaluating Multi-Agents Orchestration in Generative Therapeutic Chatbots
A multi-agent system with finite state machine for therapeutic stages was perceived as significantly more natural and human-like than single-agent or unguided LLM versions in an RCT with 66 participants.
-
Supporting System Testing with a Multi-Agent LLM-based Framework for Knowledge Graph Extraction: A Case Study with Ethernet Switch Systems
A multi-agent LLM-based framework extracts knowledge graphs from 50 real Ethernet switch manuals with 0.97-0.99 correctness to enable downstream test case specification generation.