Yue Zhao’s Post

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Assistant Professor of Computer Science at USC | Building Trustworthy, Scalable, and Generative AI Systems | Anomaly & OOD Detection (Creator of PyOD), Graph Learning, AI4Science, Open-source ML Tools

What exciting opportunities exist at the intersection of 𝗽𝗼𝗹𝗶𝘁𝗶𝗰𝗮𝗹 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 and 𝗹𝗮𝗿𝗴𝗲 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀)? Our recent work 𝗣𝗼𝗹𝗶𝘁𝗶𝗰𝗮𝗹-𝗟𝗟𝗠 explores this space with surveys, case studies, and key future directions! Key highlights: 𝟭. 𝗧𝗿𝘂𝗹𝘆 𝗶𝗻𝘁𝗲𝗿𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗮𝗿𝘆 🌐 A collaboration between political science (@catherine-chen and Peng (Fred) Gui) and computer science (Yushun Dong and myself), supported by our students and collaborators from 30+ institutes worldwide. 𝟮. 𝗕𝗲𝘆𝗼𝗻𝗱 "𝗷𝘂𝘀𝘁 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝘀𝘂𝗿𝘃𝗲𝘆" 🔍 We conducted case studies on political bias and feature generation in LLM-driven voting simulations, evaluating both bias and the quality of LLM-generated political features. 𝟯. 𝗙𝘂𝘁𝘂𝗿𝗲 𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 🚀 We identify 6 critical challenges, including data scarcity, fairness in predictions, and explainability, to guide impactful work at the intersection of AI and political science. 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗵𝗲𝗿𝗲: 🌐 Online resource: https://political-llm.org/ 📄 Preprint: https://lnkd.in/gAdEVFEk #politicalscience #machinelearning #ai #llm

TriForce

TriForce

political-llm.org

Lincan Li

1st year PhD student at RAI Lab, CS FSU | Previously AI Researcher at UNSW Sydney | Several industrial Algorithm Intern experience. Data Mining, GNN, Large Language Models, and more.

2w

Thanks for supporting and promoting Political-LLM😃

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