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Xuan-Jing Huang

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#natural language process... Preprint Sep 2026

SocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary Paradigm

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
#artificial intelligence Preprint Sep 2026

Strategy Accumulation and Guided Execution for Automated LLM Fine-Tuning

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
#artificial intelligence Review Sep 2026

NovGauge: A Fine-Grained Benchmark for Diagnosing LLMs'Capability in Paper Novelty Assessment

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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