Anej Svete

@anejsvete.bsky.social

PhD student in NLP at ETH Zurich. anejsvete.github.io

Very excited to give an oral talk at ICLR this Saturday at 10:30 AM! We show that masked diffusion language models are computationally equivalent to looped transformers, and can solve anything chain of thought can; sometimes even faster, thanks to parallelism. Paper: arxiv.org/abs/2510.13117

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Introducing Olmo Hybrid, a 7B fully open model combining transformer and linear RNN layers. It decisively outperforms Olmo 3 7B across evals, w/ new theory & scaling experiments explaining why. 🧵

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We present The Transformer Cookbook: a collection of recipes for programming algorithms directly into transformers! Hungry for an induction head? Craving a Dyck language recognizer? We show you step-by-step how to cook up transformers for these algorithms and many more!

The Transformer Cookbook

We present the transformer cookbook: a collection of techniques for directly encoding algorithms into a transformer's parameters. This work addresses the steep learning curve of such endeavors, a prob...

arxiv.org

Introducing Asta—our bold initiative to accelerate science with trustworthy, capable agents, benchmarks, & developer resources that bring clarity to the landscape of scientific AI + agents. 🧵

As part of Asta, our initiative to accelerate science with trustworthy AI agents, we built AstaBench—the first comprehensive benchmark to compare them. ⚖️

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🧵 Excited to share our paper "Unique Hard Attention: A Tale of Two Sides" with Selim, Jiaoda, and Ryan, where we show that the way transformers break ties in attention scores has profound implications on their expressivity! And it got accepted to ACL! :) The paper: arxiv.org/abs/2503.14615

Unique Hard Attention: A Tale of Two Sides

Understanding the expressive power of transformers has recently attracted attention, as it offers insights into their abilities and limitations. Many studies analyze unique hard attention transformers...

arxiv.org

I will be at #NeurIPS2024 in Vancouver. I am excited to meet people working on AI Safety and Security. Drop a DM if you want to meet. I will be presenting two (spotlight!) works. Come say hi to our posters.