Recursive Language Models aim to break the usual trade off between context length, accuracy and cost in large language models. Instead of forcing a model to read a giant prompt in one pass, RLMs treat ...

Abstract: In modern software development, it is common to select and use an appropriate programming language according to the purpose and application. Julia is attracting attention as a language that ...

Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...

The human faculty to generate an infinite set of structured expressions in language, present in most cultures and normal ontogeny, is the most substantial evidence of the human capacity for recursion.

This repository anchors the first structured guide to building recursive cognitive systems — systems that preserve tone, structure, and identity without relying on memory storage. We explore how ...

“If it were done when ’tis done, then ’twere well if it were done quickly.” This is probably not how you’d tell someone to hurry it up in your day-to-day life. But as an actor, you’re likely to ...

Large Language Models (LLMs) benefit significantly from reinforcement learning techniques, which enable iterative improvements by learning from rewards. However, training these models efficiently ...

We publish the best academic papers on rule-based techniques, LLMs, & the generation of text that resembles human text.

'Corporate speak' isn't just weird and annoying — it often has hidden meanings and signals. These are just some of the common workplace phrases that probably set your teeth on edge if you're like a ...