Quan Ze Chen

@cqz.name

Can LLM prompting help social media users create and iterate on their content filters more easily? In our #CHI2025 paper, we compared in an experiment three authoring strategies: 🤖 Prompting LLM 🔎 Labeling examples for ML classifiers 📐 Authoring keyword rules (🧵1/N)

In-context learning can be an effective way to conduct value alignment of LLMs through examples, but when there are multiple pluralistic groups, are the best examples for one group also the ones for another? We explore this in our paper 🌟SPICA🌟 (🧵1/9)

Screenshot of the first page of the paper SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment