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#neural-cellular-automata News & Analysis

2 articles tagged with #neural-cellular-automata. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Mar 127/10
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Training Language Models via Neural Cellular Automata

Researchers developed a method using neural cellular automata (NCA) to generate synthetic data for pre-training language models, achieving up to 6% improvement in downstream performance with only 164M synthetic tokens. This approach outperformed traditional pre-training on 1.6B natural language tokens while being more computationally efficient and transferring well to reasoning benchmarks.

AINeutralarXiv – CS AI · Mar 24/106
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QD-MAPPER: A Quality Diversity Framework to Automatically Evaluate Multi-Agent Path Finding Algorithms in Diverse Maps

Researchers developed QD-MAPPER, a framework using Quality Diversity algorithms and Neural Cellular Automata to automatically generate diverse maps for evaluating Multi-Agent Path Finding (MAPF) algorithms. This addresses the limitation of testing MAPF algorithms on fixed, human-designed maps that may not cover all scenarios and could lead to overfitting.