4 papers
MeMo: Memory as a Model
Ryan Wei Heng Quek, Sanghyuk Lee, Alfred Wei Lun Leong +6
Large language models (LLMs) achieve strong performance across a wide range of tasks, but remain frozen after pretraining until subsequent updates. Many real-world applications req…
MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models
Hengzhi Li, Megan Tjandrasuwita, Yi R. Fung +2
As AI becomes more closely integrated with peoples' daily activities, socially intelligent AI that can understand and interact seamlessly with humans in daily lives is increasingly…
VLMaterial: Procedural Material Generation with Large Vision-Language Models
Beichen Li, Rundi Wu, Armando Solar-Lezama +4
Procedural materials, represented as functional node graphs, are ubiquitous in computer graphics for photorealistic material appearance design. They allow users to perform intuitiv…
MeMo: Meaningful, Modular Controllers via Noise Injection
Megan Tjandrasuwita, Jie Xu, Armando Solar-Lezama +1
Robots are often built from standardized assemblies, (e.g. arms, legs, or fingers), but each robot must be trained from scratch to control all the actuators of all the parts togeth…