Summary of Evaluating Model Bias Requires Characterizing Its Mistakes, by Isabela Albuquerque et al.
Evaluating Model Bias Requires Characterizing its Mistakesby Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, Taylan Cemgil,…
Summary of What Makes and Breaks Safety Fine-tuning? a Mechanistic Study, by Samyak Jain et al.
What Makes and Breaks Safety Fine-tuning? A Mechanistic Studyby Samyak Jain, Ekdeep Singh Lubana, Kemal…
Summary of Sim-to-real Domain Adaptation For Deformation Classification, by Joel Sol et al.
Sim-to-Real Domain Adaptation for Deformation Classificationby Joel Sol, Jamil Fayyad, Shadi Alijani, Homayoun NajjaranFirst submitted…
Summary of Optimal Kernel Choice For Score Function-based Causal Discovery, by Wenjie Wang et al.
Optimal Kernel Choice for Score Function-based Causal Discoveryby Wenjie Wang, Biwei Huang, Feng Liu, Xinge…
Summary of Convex Space Learning For Tabular Synthetic Data Generation, by Manjunath Mahendra et al.
Convex space learning for tabular synthetic data generationby Manjunath Mahendra, Chaithra Umesh, Saptarshi Bej, Kristian…
Summary of Fine-tuning Large Language Models with User-level Differential Privacy, by Zachary Charles et al.
Fine-Tuning Large Language Models with User-Level Differential Privacyby Zachary Charles, Arun Ganesh, Ryan McKenna, H.…