Progress in AI is often measured by what a single model can do on its own. Yet teams of AI agents are starting to make breakthroughs and discoveries in science, medicine, mathematics and software engi
The Collaborative Intelligence Benchmark evaluates AI agents as teammates across 240 tasks, revealing that even top models have significant collaboration weaknesses unrelated to individual capability.
Progress in AI is often measured by what a single model can do on its own. Yet teams of AI agents are starting to make breakthroughs and discoveries in science, medicine, mathematics and software engineering. As AI begins to work in teams of agents and people, the ability to collaborate becomes a core part of their intelligence. Research on human teams has measured this ability for decades. Inspired by this, we introduce the Collaborative Intelligence Benchmark, which measures how well an AI agent works as a teammate. It contains 240 tasks across 8 dimensions of teamwork, from refusing an unsafe shortcut to checking the work that a weaker model leaves behind. Each task comes from a real…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
Measuring AI Agents as Teammates with Collaborative Intelligence was first seen on Hugging Face · Daily papers on Nov 3, 2026. Since then it has appeared in 9 checks on 2 different days. Its best position was #13 of 30, reached on Nov 4, 05:28 UTC. It dropped off the list after Nov 4, 05:28 UTC.
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Not at the moment. It was last on the list on Nov 4, 05:28 UTC, after 2 days of trending.
#13 on Hugging Face · Daily papers, on Nov 4, 05:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 3, 2026 and has been on the list on 2 days (9 checks) since.