General decision models, such as Jev, have recently emerged as efficient alternatives to LLMs for structured judgment and selection. But what kinds of decisions can these models reliably make, and how does their behavior change when individual decisions are composed into larger systems? To study this, we introduce JEVa...
Fei-Yu Duan, Jia-Yu Lin, Jia Wang et al.· 7 citations· ⚡1
General decision models, such as Jev, have recently emerged as efficient alternatives to LLMs for structured judgment and selection. But what kinds of decisions can these models reliably make, and how does their behavior change when individual decisions are composed into larger systems? To study this, we introduce JEVa...
Fei-Yu Duan, Jia-Yu Lin, Jia Wang et al.· 1 citation
This work extends SocioVerse 1.0 into a human-AI co-evolutionary paradigm built from two loops and one infrastructure, and validates SocioVerse2 across three case families and seven case studies, from reproducing canonical agent-based models to modeling policy processes on real records and nowcasting macro-economic ind...
Xin-Nong Zhang, Jiayu Lin, Jia Wang et al.· 0 citations
Research Attention Prediction (RAP), a rolling benchmark covering 278 AI/ML fields and 1,390 episodes, is introduced, a rolling benchmark covering 278 AI/ML fields and 1,390 episodes for large language models to track shifts in research attention.
Ying-Qian Wu, Jingcong Liang, Si-Yuan Wang et al.· 0 citations
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