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Yi-Peng Li

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#artificial intelligence Preprint Sep 2026

WorldGraph: Graph-Native World Modeling

World models infer latent states of an environment to capture its underlying dynamics and predict future evolution. Many real-world environments, however, are inherently relational and observed as evolving graphs, where entities, relations, and their properties change over time. Prior graph-related world models use gra...

Zezhong Ding, Yi-Peng Li, Xi-Ke Xie · 0 citations
#artificial intelligence Preprint Sep 2026

EDGEGEN: Improving Tool-Calling Agents Beyond Happy Paths with Synthetic Edge Case Generation

EdgeGen is a synthetic task generation framework that extracts compliance rules from an agent's specification and uses them to generate database-grounded edge-case tasks designed to violate these rules, and when combined with existing synthetic data generation techniques, enables agent improvement through finetuning an...

Harshavardhan Abichandani, Penny Chong, Jiyuan Shen et al. · 0 citations

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