What ICLR 2026 Taught Us About Multi-Agent Failures

1 min read Original article ↗

Multi-agent LLM systems divide complex tasks among specialized agents, let them coordinate, and get better results than any single model could achieve. But, when deployed in production latency bites, token costs spikes, errors cascade through pipelines, and when something breaks, you often have no idea why.

ICLR 2026 had a notable number of papers addres…

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