40 citations · 64 across the 9 of their papers we have counts for
4 papers · 1 filter
Forbidden Facts: An Investigation of Competing Objectives in Llama-2
Tony T. Wang, Miles Wang, Kaivalya Hariharan +1
LLMs often face competing pressures (for example helpfulness vs. harmlessness). To understand how models resolve such conflicts, we study Llama-2-chat models on the forbidden fact…
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics
Yicong Li, Yaron Meirovitch, Aaron T. Kuan +5
Comprehensive, synapse-resolution imaging of the brain will be crucial for understanding neuronal computations and function. In connectomics, this has been the sole purview of volu…
The XPRESS Challenge: Xray Projectomic Reconstruction -- Extracting Segmentation with Skeletons
Tri Nguyen, Mukul Narwani, Mark Larson +9
The wiring and connectivity of neurons form a structural basis for the function of the nervous system. Advances in volume electron microscopy (EM) and image segmentation have enabl…
Cliff-Learning
Tony T. Wang, Igor Zablotchi, Nir Shavit +1
We study the data-scaling of transfer learning from foundation models in the low-downstream-data regime. We observe an intriguing phenomenon which we call cliff-learning. Cliff-lea…