Typos

paper/colm_camera/colm2024_conference.tex

@@ -188,7 +188,7 @@ \section{Introduction}
 % \footnote{Technically, we fine tune rather than pre train, but ``PAPERCLIFT'' was rejected by the senior author of this paper.}), 
 a method that connects, for the first time, astronomical image observations with natural language by leveraging the association between abstracts of successful observing proposals written by astronomers and images corresponding to downstream observations imaged by telescopes. 
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-\changes{This approach demonstrates the potential of adapting generalist multi-modal foundation models to astronomy, complementing task-specific models in the domain by providing a flexible, language-based interface for interacting with observational data.}
+\changes{This approach demonstrates the potential of adapting generalist multi-modal foundation models to astronomy, complementing task-specific models by providing a flexible, language-based interface for interacting with observational data.}
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 Concretely, we showcase the method using observations imaged by the \hubble Space Telescope (HST).
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