الباحثون

Zeeshan Memon

المنشورات 2

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EpiWorld: Grounding LLM Policy Agents in Epidemiological World Models

Zeeshan Memon, Yiqi Su, Kai Shu وآخرون · 2026

Epidemic intervention policies are textual artefacts that human decision-makers interpret, justify, and revise through natural language, making large language models a natural candidate for epidemic policy reasoning. A naive LLM, however, lacks the epidemic dynamics needed to project intervention consequences, the quan …

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Network World Models as Environments for Algorithm Design on Complex Systems

Rishab Alagharu, Hongji Pu, Zeeshan Memon وآخرون · 2026

World models, which simulate an environment and predict how it changes under actions, are increasingly used in real-world applications such as robotics. Complex systems call for the same tool because the effect of an action is not immediate. Seeding nodes for a campaign, or immunizing nodes against an epidemic, changes …

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