Learning from Real-World Human-AI Interactions for Language Model Alignment

This project investigates how language models can be better aligned with real-world human needs through naturally occurring human-AI interactions. It aims to study how user expectations, feedback, and interaction patterns can inform the evaluation and improvement of language models. The project will support research on more realistic, user-centered language model alignment while following appropriate data protection, licensing, and sharing practices.