ArtificialIntelligence.io

The Signal

Everything that matters in AI, with our take.

Updated through the day. Every headline links straight to the source. The two lines underneath are ours.

arXiv cs.CLPaper

Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering

This solves a real problem in RAG pipelines: knowing when to stop refining a query versus digging deeper. The evidence-conditioned approach is cleaner than blind iteration. If you're building multi-step retrieval systems, this is the kind of signal-based decision-making that prevents infinite loops. The technique is sound but incremental on existing work.