arXiv 2610.04184 · cs.AI · 2026-10-03
EvalResearchBench: Can AI Agents Build Their Own Feedback for Recursive Self-Improvement?
Yaolun Zhang, Tianyi Xu, Yujie Zhao, Jishen Zhao, Qingyun Wu, Huazheng Wang
AG2AI
In latest · #359 Added on 2026-10-26
One-line takeaway
EvalResearchBench tests whether agents can design their own evaluators under fixed time and API budgets by selecting or synthesizing tasks and writing graders; compared against 14 target benchmarks, the best evaluators order about 75% of candidate pairs correctly.
EvalResearchBench 测试 AI 智能体能否在固定时间和 API 预算下自己设计评测：挑选或合成任务、写评分器并试运行后冻结；对比 14 个目标基准，最好的评测器能正确排出约 75% 的候选模型对。
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About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.
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