83 citations · 127 across the 16 of their papers we have counts for
6 papers · 1 filter
Word2Minecraft: Generating 3D Game Levels through Large Language Models
Shuo Huang, Muhammad Umair Nasir, Steven James +1
We present Word2Minecraft, a system that leverages large language models to generate playable game levels in Minecraft based on structured stories. The system transforms narrative…
GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps
Muhammad Umair Nasir, Steven James, Julian Togelius
Large language models (LLMs) have recently demonstrated great success in generating and understanding natural language. While they have also shown potential beyond the domain of na…
Word2World: Generating Stories and Worlds through Large Language Models
Muhammad U. Nasir, Steven James, Julian Togelius
Large Language Models (LLMs) have proven their worth across a diverse spectrum of disciplines. LLMs have shown great potential in Procedural Content Generation (PCG) as well, but d…
Practical PCG Through Large Language Models
Muhammad U Nasir, Julian Togelius
Large Language Models (LLMs) have proven to be useful tools in various domains outside of the field of their inception, which was natural language processing. In this study, we pro…
Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation
Muhammad Umair Nasir, Innocent Amos Mchechesi
Stemming from the limited availability of datasets and textual resources for low-resource languages such as isiZulu, there is a significant need to be able to harness knowledge fro…
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan +42
Recent advances in the pre-training of language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these dat…