📣 FLaNN 2026 at Yale 🍮 Invited talks+posters (non-archival): expressivity, computation, and learning in neural nets/LLMs Speakers: Pablo Barceló, David Chiang, Will Merrill, Naomi Saphra, Gail Weiss Abstracts due Feb 12, 2026 Details: flann.cs.yale.edu

Deadline in just under two weeks!

Announcing the first Workshop on Formal Languages and Neural Networks (FLaNN)! We invite the submission of abstracts for posters that discuss the formal expressivity, computational properties, and learning behavior of neural network models, including large language models (LLMs).

Read the cookbook: arxiv.org/abs/2510.00368 Join us for weekly seminars on formal language theory, ML, NLP, and more: flannseminars.github.io

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!

There is no better way to understand what transformers can do than to get your hands dirty and construct them, weight-by-weight. The Transformer Cookbook provides a guide for anyone aiming to understand the expressive power of transformers on such a formal level.

Thanks to all the chefs: @ccwatson.bsky.social, @antonxue.bsky.social, @satwik77.bsky.social, @ll4r3n4.bsky.social, @lambdaviking.bsky.social, Emile Dos Santos Ferreira, @anejsvete.bsky.social, @dchiang.bsky.social