Social simulation offers the social sciences an experimental instrument that the real world cannot supply, and generative agents have transformed it by acting as silicon samples that unite agent-based modeling with real behavioral data. Existing platforms verify collective behavior, align simulated populations with rea...
Xin-Nong Zhang, Jiayu Lin, Jia Wang et al.· 0 citations
Producing task-specific large language models requires discovering effective training strategies through experimentation. Automated fine-tuning systems have made this experimentation feasible with far less manual effort. However, these systems are stateless: each search discards its discovered strategies, dataset insig...
Hao-Ran Zhao, Wei Du, Dingwen Yang et al.· 0 citations
Large language models (LLMs) are increasingly used in peer review at major AI conferences, yet novelty remains a persistent weak point. Existing benchmarks assess novelty as a single holistic score, making it difficult to diagnose which dimension a model misjudges or whether its evidence is faithful. We present NovGaug...
Guo-Qiang Zhang, Ke-Xin Tan, Ming Zhang et al.· 0 citations
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