8 citations · 16 across the 8 of their papers we have counts for
4 papers · 1 filter
More than Correlation: Do Large Language Models Learn Causal Representations of Space?
Yida Chen, Yixian Gan, Sijia Li +2
Recent work found high mutual information between the learned representations of large language models (LLMs) and the geospatial property of its input, hinting an emergent internal…
Soil Image Segmentation Based on Mask R-CNN
Yida Chen, Kang Liu, Yi Xin +1
The complex background in the soil image collected in the field natural environment will affect the subsequent soil image recognition based on machine vision. Segmenting the soil c…
Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model
Yida Chen, Fernanda Viégas, Martin Wattenberg
Latent diffusion models (LDMs) exhibit an impressive ability to produce realistic images, yet the inner workings of these models remain mysterious. Even when trained purely on imag…
AttentionViz: A Global View of Transformer Attention
Catherine Yeh, Yida Chen, Aoyu Wu +3
Transformer models are revolutionizing machine learning, but their inner workings remain mysterious. In this work, we present a new visualization technique designed to help researc…