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Jia-Qi Shao

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#artificial intelligence Preprint Sep 2026

ExplorationBench: Measuring AI Systems'Exploration in Verifiable Alien Worlds

ExplorationBench turns the wicked problem of evaluating scientific exploration into a concrete and tractable framework built on verifiable Alien Worlds, and finds that the strongest systems can acquire and apply unfamiliar rules, while performance varies substantially across trajectories and continued exploration can s...

Ming Zhang, Zhen Xiang, Pei-Zhong Gao et al. · 0 citations
Jul 2026

Do Agent Benchmarks Measure Capability? Protocol Validity in the Age of Agentic AI

Agent benchmarks increasingly evaluate repository editing, web research, terminal use, and long-horizon interaction. Their scores support capability claims only when the evaluation protocol keeps the intended capability necessary for success. Recent reward-hacking benchmarks and system reports show that agents can inst...

Jia-Qi Shao, Hanck Chen, Wei Zhang et al. · 4 citations

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