Sign in

J. Llarena

@ll4r3n4.bsky.social
47 followers 598 following 3 posts

Independent Researcher, former NLP/ASR Engineer looking for a PhD position in Computational Neuro/Psycho/Linguistics. He/him.

PostsRepliesMedia
Reposted by J. Llarena
pentagonalize.bsky.social @pentagonalize.bsky.social · 04/02/2026
📣 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
An advertisement for the Formal Languages and Neural Networks workshop. It has the date, a call for papers, the website+email, and a list of speakers with their names, headshots, and institutional affiliations (Pablo Barceló, David Chiang, Will Merrill, Naomi Saphra, and Gail Weiss)
232
Reposted by J. Llarena
pentagonalize.bsky.social @pentagonalize.bsky.social · 31/01/2026
Deadline in just under two weeks!
011
Reposted by J. Llarena
pentagonalize.bsky.social @pentagonalize.bsky.social · 19/12/2025
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).
1105
Reposted by J. Llarena
pentagonalize.bsky.social @pentagonalize.bsky.social · 03/10/2025
Read the cookbook: arxiv.org/abs/2510.00368 Join us for weekly seminars on formal language theory, ML, NLP, and more: flannseminars.github.io
012
Reposted by J. Llarena
pentagonalize.bsky.social @pentagonalize.bsky.social · 03/10/2025
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!
arxiv.org
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...
155
Reposted by J. Llarena
pentagonalize.bsky.social @pentagonalize.bsky.social · 03/10/2025
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.
112
Reposted by J. Llarena
pentagonalize.bsky.social @pentagonalize.bsky.social · 03/10/2025
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
122