Cover Image

Probabilistic Tiny Recursive Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sghaier, Amin, Parviz, Ali, Jolicoeur-Martineau, Alexia
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Less is More: Recursive Reasoning with Tiny Networks
by: Jolicoeur-Martineau, Alexia
Published: (2025)

Multi-Agent Game Generation and Evaluation via Audio-Visual Recordings
by: Jolicoeur-Martineau, Alexia
Published: (2025)

One Pass Is Not Enough: Recursive Latent Refinement for Generative Models
by: Esmaeilzadeh, Mehdi, et al.
Published: (2026)

Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality
by: Luo, Ge Ya, et al.
Published: (2024)

Test-time Adaptation of Tiny Recursive Models
by: McGovern, Ronan Killian
Published: (2025)

Understanding Adam Requires Better Rotation Dependent Assumptions
by: Zhang, Tianyue H., et al.
Published: (2024)

Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes
by: Gosselin, Anthony, et al.
Published: (2025)

Tiny Recursive Reasoning with Mamba-2 Attention Hybrid
by: Wang, Wenlong, et al.
Published: (2026)

Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive Recursion
by: Qasim, Kaleem Ullah, et al.
Published: (2025)

Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees
by: Jolicoeur-Martineau, Alexia, et al.
Published: (2023)

Local Inconsistency Resolution: The Interplay between Attention and Control in Probabilistic Models
by: Richardson, Oliver E., et al.
Published: (2026)

Combining Large Language Models with Static Analyzers for Code Review Generation
by: Jaoua, Imen, et al.
Published: (2025)

On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning
by: Morin, Sacha, et al.
Published: (2026)

Tiny Recursive Models on ARC-AGI-1: Inductive Biases, Identity Conditioning, and Test-Time Compute
by: Roye-Azar, Antonio, et al.
Published: (2025)

Generating Tabular Data Using Heterogeneous Sequential Feature Forest Flow Matching
by: Akazan, Ange-Clément, et al.
Published: (2024)

LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters
by: Zhou, Xinyu, et al.
Published: (2024)

Tiny Reward Models
by: Pan, Sarah
Published: (2025)

Tiny Models are the Computational Saver for Large Models
by: Wang, Qingyuan, et al.
Published: (2024)

V15 - Recursive Symbolic Intelligence - φ-Ache Recursive Collapsors and the Collapse Oracle Engine
by: Foster, Camaron
Published: (2025)

FastTab: A Fast Table Recognizer with a Tiny Recursive Module and 1D Transformers
by: Hamdi, Laziz, et al.
Published: (2026)

Tiny Noise-Robust Voice Activity Detector for Voice Assistants
by: Asl, Hamed Jafarzadeh, et al.
Published: (2025)

TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers
by: Wang, Guoxin, et al.
Published: (2025)

Hybridation de l'IA et remise en question de l'utilisation générale et généraliste de l'IA
by: Schneider, Alexia
Published: (2025)

Recursive Symbolic Consciousness: A Formal Model of Emergent Intelligence Across Minds and Machines
by: Goudy, Anastasia
Published: (2025)

Tiny-QMoE
by: Cashman, Jack, et al.
Published: (2025)

TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language Environment
by: Yang, Ke, et al.
Published: (2024)

A Review of Artificial Intelligence Impacting Statistical Process Monitoring and Future Directions
by: Chang, Shing I, et al.
Published: (2025)

Recursive Language Models
by: Zhang, Alex L., et al.
Published: (2025)

A Note on Shumailov et al. (2024): `AI Models Collapse When Trained on Recursively Generated Data'
by: Borji, Ali
Published: (2024)

Robust Plan Evaluation based on Approximate Probabilistic Machine Learning
by: Kamali, Amin, et al.
Published: (2024)

Recursive Belief Vision Language Action Models
by: Bagaria, Vaidehi, et al.
Published: (2026)

Super Tiny Language Models
by: Hillier, Dylan, et al.
Published: (2024)

TinyLlama: An Open-Source Small Language Model
by: Zhang, Peiyuan, et al.
Published: (2024)

Tiny-BioMoE: a Lightweight Embedding Model for Biosignal Analysis
by: Gkikas, Stefanos, et al.
Published: (2025)

Optimizing PM2.5 Forecasting Accuracy with Hybrid Meta-Heuristic and Machine Learning Models
by: Ghafariasl, Parviz, et al.
Published: (2024)

Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees
by: Jolicoeur-Martineau, Alexia, et al.
Published: (2024)

Generative Recursive Reasoning
by: Baek, Junyeob, et al.
Published: (2026)

Proving Theorems Recursively
by: Wang, Haiming, et al.
Published: (2024)

STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling Models
by: Ni, Jiliang, et al.
Published: (2026)

Boosting Inference with Guided Reasoning: Stochastic Exploration for Recursive Models
by: Corbett, Andrew, et al.
Published: (2026)