In the news
ARE-bench: Benchmarking Agents' Research Ability in Real-World Researcher Sessions and Workspaces
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- ARE-bench evaluates research agents on 75 real-world tasks from active researcher projects, measuring whether agents respect prior decisions and existing workspace state.
- Why it matters
- Matters for engineers building or deploying research agents who need realistic assessment beyond clean benchmark environments.
- Watch out
- Top models pass only 66.2% of tasks; performance drops to 28-40% when workspace history and material requirements are checked, suggesting current benchmarks may overestimate capability.
- agent
- eval
- benchmark
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