Pooyan @Pooyanrg presenting our Transformer Attention Bottleneck paper at @CVPR 💡 We **simplify** MHSA (e.g. 12 heads -> 1 head) to create an attention **bottleneck** where users can debug Vision Language Models by editing the bottleneck and observe expected VLM text outputs.

How do best AI image editors 🤖 GPT-4o, Gemini 2.0, SeedEdit, HF 🤗 fare ⚔️ human Photoshop wizards 🧙‍♀️ on text-based 🏞️ image editing? Logan @septisum and Brandon @brandon_co92810 shared some answers at our poster today! #CVPR2025 https://t.co/pwxmUnrxwY A few insights 👇