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Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 23, 2026 · Artificial Intelligence

10M‑Parameter Model Solves ARC and Sudoku – Bengio Team Bets on Multi‑Trajectory Reasoning

A 10‑million‑parameter GRAM model from Bengio, KAIST, Mila and NYU achieves 97% accuracy on Sudoku‑Extreme and competitive scores on ARC‑AGI tasks by replacing deterministic recursive updates with a probabilistic multi‑trajectory process, and extensive ablations show that both random guidance and depth‑supervised training are essential for its performance.

ARC‑AGIGRAMGenerative Recursive Reasoning
0 likes · 9 min read
10M‑Parameter Model Solves ARC and Sudoku – Bengio Team Bets on Multi‑Trajectory Reasoning
Machine Heart
Machine Heart
May 23, 2026 · Artificial Intelligence

Bengio’s New Paper Pushes Recursive Reasoning Limits with Parallel Trajectories

The paper introduces GRAM (Generative Recursive Reasoning Models), a probabilistic multi‑trajectory recursive reasoning framework that injects learnable randomness into each recursion step, enabling parallel sampling and achieving higher accuracy than deterministic baselines across tasks such as Sudoku‑Extreme, N‑Queens, ARC‑AGI and unconditional generation.

AI modelsGRAMparallel sampling
0 likes · 12 min read
Bengio’s New Paper Pushes Recursive Reasoning Limits with Parallel Trajectories
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 22, 2026 · Artificial Intelligence

How a 10M‑Parameter Model Beats Large Models on Sudoku and ARC with Multi‑Trajectory Reasoning

The GRAM model introduced by Yoshua Bengio’s team replaces deterministic recursive updates with probabilistic multi‑trajectory sampling, enabling a 10 M‑parameter network to achieve 97 % accuracy on Sudoku‑Extreme, 52 %/11 % on ARC‑AGI, and near‑perfect results on N‑Queens and graph‑coloring, while also supporting unconditional generation tasks.

ARC‑AGIGRAMSudoku
0 likes · 9 min read
How a 10M‑Parameter Model Beats Large Models on Sudoku and ARC with Multi‑Trajectory Reasoning
Sohu Tech Products
Sohu Tech Products
Nov 5, 2025 · Artificial Intelligence

Unlock AI Superpowers: 5 Free Open‑Source MCP Services You Can Deploy in 10 Minutes

This article introduces five free, open‑source Model Context Protocol (MCP) services that extend AI capabilities—covering web scraping, browser automation, document‑to‑Markdown conversion, real‑time documentation, and structured reasoning—along with concise step‑by‑step setup instructions for each.

AI automationMCPbrowser automation
0 likes · 19 min read
Unlock AI Superpowers: 5 Free Open‑Source MCP Services You Can Deploy in 10 Minutes
AntTech
AntTech
Jul 9, 2025 · Artificial Intelligence

How KAG-Thinker Boosts Structured Reasoning in Large Language Models

The KAG-Thinker model, a collaborative effort by Ant Group, Zhejiang University, and Tongji University, introduces a hierarchical "breadth splitting + depth solving" framework that enhances logical stability, knowledge utilization, and retrieval robustness for complex multi‑hop reasoning tasks across general and specialized domains.

AIKAG-ThinkerKnowledge retrieval
0 likes · 10 min read
How KAG-Thinker Boosts Structured Reasoning in Large Language Models