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HarnessEval-W: Agentifying the Evaluation of Visual Worlds

108 upvotes · 17 AUG 2026 · Weiliang Chen, Haowen Sun, Jun Gao et al.

This paper develops a new method for evaluating world models, called HarnessEval-W, which provides more detailed and justifiable results than existing benchmarks. Practitioners might care about HarnessEval-W because it can help them build more trustworthy world models that better align with human preferences.

world modelsevaluation benchmarkshierarchical reasoningagentified evaluationdiagnostic tools