4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.LG2025
Layer by Layer: Uncovering Hidden Representations in Language Models
Oscar Skean, Md Rifat Arefin, Dan Zhao +4
From extracting features to generating text, the outputs of large language models (LLMs) typically rely on the final layers, following the conventional wisdom that earlier layers c…
cs.LG2024★ 4 cited
Does Representation Matter? Exploring Intermediate Layers in Large Language Models
Oscar Skean, Md Rifat Arefin, Yann LeCun +1
Understanding what defines a good representation in large language models (LLMs) is fundamental to both theoretical understanding and practical applications. In this paper, we inve…
cs.LG2023
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning
Oscar Skean, Aayush Dhakal, Nathan Jacobs +1
Self-supervised learning (SSL) is a popular paradigm for representation learning. Recent multiview methods can be classified as sample-contrastive, dimension-contrastive, or asymme…