Llmr: Real-time prompting of interactive worlds using large language models

F De La Torre, CM Fang, H Huang… - Proceedings of the CHI …, 2024 - dl.acm.org
We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time
creation and modification of interactive Mixed Reality experiences using LLMs. LLMR …

Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worlds

A Kobenova, C DeVeaux, S Parajuli… - arXiv preprint arXiv …, 2024 - arxiv.org
Generative artificial intelligence has shown promise in prompting virtual worlds into
existence, yet little attention has been given to understanding how this process unfolds as …

Characterizing the Accuracy-Efficiency Trade-off of Low-rank Decomposition in Language Models

C Moar, M Pellauer, H Kwon - arXiv preprint arXiv:2405.06626, 2024 - arxiv.org
Large language models (LLMs) have emerged and presented their general problem-solving
capabilities with one model. However, the model size has increased dramatically with …

DreamGarden: A Designer Assistant for Growing Games from a Single Prompt

S Earle, S Parajuli, A Banburski-Fahey - arXiv preprint arXiv:2410.01791, 2024 - arxiv.org
Coding assistants are increasingly leveraged in game design, both generating code and
making high-level plans. To what degree can these tools align with developer workflows …

Enabling Waypoint Generation for Collaborative Robots using LLMs and Mixed Reality

CM Fang, K Zieliński, P Maes, J Paradiso… - arXiv preprint arXiv …, 2024 - arxiv.org
Programming a robotic is a complex task, as it demands the user to have a good command
of specific programming languages and awareness of the robot's physical constraints. We …

Compressing Language Models using Low-Rank Decomposition and Characterizing the Accuracy-Efficiency Trade-offs

C Moar - 2024 - escholarship.org
Large language models (LLMs) have emerged and presented their general problem-
solvingcapabilities with one model. However, the model size has increased dramatically …