Welcome to Chicago Human+AI Lab (CHAI)!
Our goal is to build the best AI for humans. We are most interested in the following applications (ordered randomly):
We are always looking for motivated postdocs, PhD students, and undergraduates who are interested in NLP, data science, computational social science, or machine learning! Please read this FAQ if you are interested.
Schedule and Syllabus for Human-Centered Machine learning.
This is the official repository for HypoGeniC (Hypothesis Generation in Context) and HypoRefine, which are automated, data-driven tools that leverage large language models to generate hypothesis fo…
Active Example Selection for In-Context Learning (EMNLP'22)
Artificial Intelligence research: Critique Markets for Discovery: Turning Reviewer Feedback into a Resource Allocation Signal | Generated by Idea Explorer on 2025-11-17
Artificial Intelligence research: Critique Markets for Discovery: Turning Reviewer Feedback into a Resource Allocation Signal | Generated by Idea Explorer on 2025-11-16
Nlp research: Path Engineering: Causal Manipulation of the "Road Not Taken" | Generated by Idea Explorer on 2025-11-17
Nlp research: Path Engineering: Causal Manipulation of the "Road Not Taken" | Generated by Idea Explorer on 2025-11-16
Nlp research: Conceptual Crossroads: Mapping Paradigm-Level Uncertainty in Language Models | Generated by Idea Explorer on 2025-11-17
Nlp research: Conceptual Crossroads: Mapping Paradigm-Level Uncertainty in Language Models | Generated by Idea Explorer on 2025-11-16
This is the official repository for HypoGeniC (Hypothesis Generation in Context) and HypoRefine, which are automated, data-driven tools that leverage large language models to generate hypothesis for open-domain research. For more details, please see the original paper using the link below.
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