Targeted and Traceable Investigation of Multi-Agent LLM Dialogue via Semantic Bundling of Knowledge Graphs
This work presents a targeted and traceable approach to investigating multi-agent LLM dialogue, applied to the VAST Challenge 2026 MC1 dataset, and finds that the KG structure enables users to identify actors worth investigating faster and summarizing only the region surrounding an actor of interest better supports per...