[slama]

The title here doesn't seem to match. The paper is called "TopoNets: High Performing Vision and Language Models with Brain-Like Topography"

Even with their new method, models with topography seem to perform worse than models without.

[dang]

Submitted title was "Inducing brain-like structure in GPT's weights makes them parameter efficient". We've reverted it now in keeping with the site guidelines (https://news.ycombinator.com/newsguidelines.html).

Since the submitter appears to be one of the authors, maybe they can explain the connection between the two titles? (Or maybe they already have! I haven't read the entire thread)

[mayukhdeb]

Thanks for clarifying your reason for renaming the title.

The explanation for the original title is this plot from our publication in ICLR 2025: https://toponets.github.io/webpage_assets/FigureEfficiencyNa...

You can find more details on the website: https://toponets.github.io (see section: "Toponets deliver sparse, parameter-efficient language models")

We find out that inducing topographic structure in the weights of GPTs made them compressible (during inference) without losing out on performance.

I encourage you to revert the name if you find it justified after looking into the evidence I've shown here. Thanks.