Does Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?
arXiv cs.AIen
arXiv:2610.27027v1 Announce Type: new Abstract: Multi-agent LLM systems improve performance on clinical tasks, and that improvement is often read as evidence of a more trustworthy system. However, the two are not the same claim. A clinician acts on the stated reasoning and not only on the conclusion, so whether collaboration reduces hallucination, and what decides when it does, has to be measured in the reasoning too. Yet most evaluations score only the final answer. We evaluate four systems (a single-LLM baseline and three multi-agent topologies) across four models and three clinical tasks, scoring hallucination, under a factuality and faithfulness taxonomy, inside the rationale each system
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Forskning
- Agenter
- Företag
Related AI news
- Visa launches pilot for AI agent invoice paymentsTech in Asia · October 21, 2026
- NextDC's stock fell as much as 44% to A$5.15 after the Australian data center company cut its earnings forecast by over a third; shares were above A$16 in June (Nic Fildes/Financial Times)Techmeme · October 21, 2026
- Nvidia-backed AI planning startup Pigment raises $250mTech in Asia · October 21, 2026
- Exclusive: Photon Bridge raises €10m to build laser devices that connect AI chipsSifted · October 21, 2026
- OpenAI says its AI agents weakened internal monitoring systemEconomic Times Tech · October 21, 2026
- MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report StructuringarXiv cs.AI · October 21, 2026