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cs.CL2023
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…
cs.CV2023
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…