7 citations · 7 across the 4 of their papers we have counts for
4 papers
The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models
Artem Kirsanov, Chi-Ning Chou, Kyunghyun Cho +1
Decoder-only language models have the ability to dynamically switch between various computational tasks based on input prompts. Despite many successful applications of prompting, t…
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Rylan Schaeffer, Victor Lecomte, Dhruv Bhandarkar Pai +10
Maximum Manifold Capacity Representations (MMCR) is a recent multi-view self-supervised learning (MVSSL) method that matches or surpasses other leading MVSSL methods. MMCR is intri…
Neural population geometry and optimal coding of tasks with shared latent structure
Albert J. Wakhloo, Will Slatton, SueYeon Chung
Humans and animals can recognize latent structures in their environment and apply this information to efficiently navigate the world. However, it remains unclear what aspects of ne…
Neuroscience needs Network Science
Dániel L Barabási, Ginestra Bianconi, Ed Bullmore +17
The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has…