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Sudoku

6 articles · Page 1 of 1
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 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
Tinker Programmer
Tinker Programmer
Apr 30, 2026 · Interview Experience

Go Problem Solving Log: Valid Sudoku – The Key Is Index Mapping

The author solves the classic Valid Sudoku challenge in Go, explaining why a fixed-size 9×9 array outperforms a generic map, how to map characters to zero‑based indices, compute sub‑grid positions, and maintain row, column, and block state efficiently.

AlgorithmArrayData Structures
0 likes · 7 min read
Go Problem Solving Log: Valid Sudoku – The Key Is Index Mapping
Architect
Architect
Mar 17, 2025 · Artificial Intelligence

Can a 7B Language Model Solve Sudoku with Reinforcement Learning? Findings and Lessons

This article details a reinforcement‑learning experiment that teaches 7B‑ and 3B‑parameter language models to solve Sudoku, covering data preparation, GRPO‑based reward design, training configurations, performance comparisons, key insights, and future research directions.

GRPOModel ScalingReinforcement Learning
0 likes · 15 min read
Can a 7B Language Model Solve Sudoku with Reinforcement Learning? Findings and Lessons
Baobao Algorithm Notes
Baobao Algorithm Notes
Mar 16, 2025 · Artificial Intelligence

Can a 7B LLM Master Sudoku From Scratch Using Reinforcement Learning?

This article details how a 7B parameter language model, fine‑tuned with DeepSeek's GRPO reinforcement‑learning algorithm and a carefully crafted multi‑component reward system, learned to solve Sudoku puzzles without any cold‑start data, outperforming a comparable 3B model and revealing key insights for structured reasoning tasks.

AI trainingGRPOQwen
0 likes · 15 min read
Can a 7B LLM Master Sudoku From Scratch Using Reinforcement Learning?