🎉 Accepted paper at #ICLR2026 🥳 We are proud to announce that Willy Chung, from our team, is an author of: VL-JEPA: Joint Embedding Predictive Architecture for Vision-language by D. Chen, M. Shukor, T. Moutakanni, W. Chung, L. Yu, T. Kasarla, Y. Bang, A. Bolourchi, Y. LeCun and P. Fung. ⬇️Details

🔍 Can we probe latent mention detection signals in Large Language Models ? Yes ! Excited to share that our paper ToMMeR (Token Matching for Mention Recognition) is heading to #ACL2026! We confirm that entity detection is a robust, latent capability in early LLM layers, and probe it ! 🧵

1/n New paper - V-GIFT 🎁 Self-supervised tasks like rotation prediction or colorization were big in 2018. Do they still matter? Yes. We turn them into visual instruction tuning data for MLLMs. Result: models rely more on the image and perform better on vision tasks 👀

The future of social media is about you, not an app. Why we started by launching Eurosky accounts and our plans for apps. Read on from @sherif.eurosky.social

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I have been teaching myself to vibe code. Watch Claude Code grow my 780 lines to 13,600 - mandelbrot.page/coverage/ca... Two fundamental rules for staying in control: davidbau.com/archives/20...

New paper at @blackboxnlp.bsky.social @ @emnlpmeeting.bsky.social ! ⚛️ Entities are the fundamental building blocks of knowledge. Although some clues emerge from mechanistic interpretability, how auto-regressive LLMs actually encode and retrieve them remains a mystery. 🧵 📄 arxiv.org/abs/2510.09421