3 papers
cs.MA2026
pAI-Econ-claude: A Gated Human-in-the-Loop Multi-Agent Architecture for AI-Assisted Economic Theory Development
Chen Zhu, Xiaolu Wang, Weilong Zhang
In many social-science research tasks, such as economics, LLM-based agents must produce outputs for which no cheap, task-complete, machine-readable correctness signal exists. This…
cs.AI2026
(Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable
Chen Zhu, Xiaolu Wang, Weilong Zhang
Large language models (LLMs) are increasingly used for tasks once reserved for trained researchers, including hypothesis generation, specification choice, and drafting conclusions.…
cs.AI2026
HLER: Human-in-the-Loop Economic Research via Multi-Agent Pipelines for Empirical Discovery
Chen Zhu, Xiaolu Wang
Large language models (LLMs) have enabled agent-based systems that aim to automate scientific research workflows. Most existing approaches focus on fully autonomous discovery, wher…