Search Results for author:
Found 2 papers, 1 papers with code
Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions
Causal discovery (CD) and Large Language Models (LLMs) represent two emerging fields of study with significant implications for artificial intelligence.
Fair admission risk prediction with proportional multicalibration
We observe that proportional multicalibration is a promising criteria for controlling simultaneous measures of calibration fairness of a model over intersectional groups with virtually no cost in terms of classification performance.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
