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Sophie Wang

@SophieLWang

Studying intelligent representations @MIT_CSAIL
sophielwang.com Joined November 2023
165 Following 3.3K Followers 271 Posts

Latest posts 5

Sophie Wang @SophieLWang
I wrote a blog post detailing the writing approach I took while working on my recent paper: sophielwang.com/blog/paper-wri…

I describe the behind the scenes for how this paper came to be, why and how I storyboarded figures before running experiments, and some figure design tips! :)
Sophie Wang @SophieLWang Oct 6
Can “chicken” make a base model reason? 🐔

Yes!

Why? With the right first tokens, base models can match RL in reasoning. We trace this to learned training data associations and use a simple data edit to make “chicken” elicit reasoning too.

blog: sophielwang.com/cues
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34 replies 158 reposts 1.5K likes 118K views View on X
Sophie Wang @SophieLWang
Super interesting work showing that representations can be aligned across modalities using an orthogonal transformation!
Dominik Schnaus @dominik_schnaus Oct 9
DINOv2 has never seen a caption, and Qwen3 has never seen an image. We still aligned their embedding spaces without a single image-caption pair.

It even works when the images and the captions come from different datasets.

Project page: dominik-schnaus.github.io/unpaired-roset…

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Sophie Wang @SophieLWang
In our blog post, you can interactively explore the reasoning effect of token cues and RL on base models!

📎 paper: arxiv.org/abs/2610.06851
✍ blog: sophielwang.com/cues
💻 code: github.com/sophicle/cues
Sophie Wang @SophieLWang Oct 6
Can “chicken” make a base model reason? 🐔

Yes!

Why? With the right first tokens, base models can match RL in reasoning. We trace this to learned training data associations and use a simple data edit to make “chicken” elicit reasoning too.

blog: sophielwang.com/cues
View quoted post on X