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 ...

According to DeepLearning.AI, Samsung’s Tiny Recursive Model (TRM) utilizes iterative answer refinement and maintains a context of previous changes to tackle complex grid puzzles such as Sudoku, Mazes ...

This paper introduces the Israeli Structural Model (ISM), a New-Keynesian Dynamic Stochastic General Equilibrium (DSGE) model tailored to reflect key characteristics of the Israeli economy. The ISM ...

In AI research, progress is often equated with size. But a small team at Samsung’s AI lab in Montreal has taken another approach that is proving to show great promise. Their new Tiny Recursive Model ...

These are direct-prediction models trained from scratch on small, heavily augmented datasets—not few-shot prompting. ARC remains the canonical target; broader leaderboard context and rules (e.g., ...

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...

1 Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium 2 Department of Methodology and Statistics, Tilburg University, Tilburg, Netherlands Structural equation modeling (SEM) ...

RIF (Recursive Inversion Filter) is a novel cognitive architecture and truth-evaluation system designed to assess the structural integrity of propositions by subjecting them to layered epistemic ...

According to Andrej Karpathy (@karpathy), nanoGPT has evolved from a simple educational repository into a benchmark for recursive self-improvement in AI model training. Initially created to help users ...