GTA (Guess The Algorithm) Benchmark - A tool for testing AI reasoning capabilities
Modular Arithmetic Challenge. Neural induction of exact (a x b) mod p through abacus embeddings, algorithmic scratchpads and grokking, for the SAIR Foundation competition.
An evaluation of (multitask) algorithmic reasoning
A sketch-guided multi-objective alignment framework for improving the correctness, efficiency, and algorithmic reasoning of code language models.
Reproducible experiments on executable-semantics acquisition in language models, including training-order-induced output collapse and memorization without held-out modulo generalization.
Multi-agent collaborative reasoning system using Microsoft AutoGen to solve and benchmark complex Data Structures & Algorithms.
Fourier-analysis replications and extensions for grokking and algorithmic reasoning
Reverse-engineering a custom mini-transformer to mathematically prove how it learns and computes arithmetic.
Challenge your AI's algorithmic thinking with GTA Benchmark! Reverse-engineer transformations from input-output pairs. Join now! 🐙🚀
A TensorFlow CNN project analyzing the limitations of neural networks on algorithmic reasoning tasks using binary matrix datasets.
Modern PyTorch reproduction and graph extension of Neural Programmer-Interpreters
Analyze code snippets with an AI assistant to find design flaws, suggest refactoring, generate tests, and audit SOLID principles efficiently.
Add a description, image, and links to the algorithmic-reasoning topic page so that developers can more easily learn about it.
To associate your repository with the algorithmic-reasoning topic, visit your repo's landing page and select "manage topics."