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AI agents can handle the engineering aspects of research but fall short in addressing the core research questions, leading to outright rejections from experts.
Despite progress in AI agent capabilities, reliability across crucial dimensions like consistency and robustness remains stubbornly low, revealing a critical gap in current evaluation practices.
