22 citations · 48 across the 11 of their papers we have counts for
12 papers
Constructive Apraxia: An Unexpected Limit of Instructible Vision-Language Models and Analog for Human Cognitive Disorders
David Noever, Samantha E. Miller Noever
This study reveals an unexpected parallel between instructible vision-language models (VLMs) and human cognitive disorders, specifically constructive apraxia. We tested 25 state-of…
Visual AI and Linguistic Intelligence Through Steerability and Composability
David Noever, Samantha Elizabeth Miller Noever
This study explores the capabilities of multimodal large language models (LLMs) in handling challenging multistep tasks that integrate language and vision, focusing on model steera…
Multimodal Analysis Of Google Bard And GPT-Vision: Experiments In Visual Reasoning
David Noever, Samantha Elizabeth Miller Noever
Addressing the gap in understanding visual comprehension in Large Language Models (LLMs), we designed a challenge-response study, subjecting Google Bard and GPT-Vision to 64 visual…
The Multimodal And Modular Ai Chef: Complex Recipe Generation From Imagery
David Noever, Samantha Elizabeth Miller Noever
The AI community has embraced multi-sensory or multi-modal approaches to advance this generation of AI models to resemble expected intelligent understanding. Combining language and…
Word Play for Playing Othello (Reverses)
Samantha E. Miller Noever, David Noever
Language models like OpenAI's Generative Pre-Trained Transformers (GPT-2/3) capture the long-term correlations needed to generate text in a variety of domains (such as language tra…
POSSE: Patterns of Systems During Software Encryption
David Noever, Samantha Miller Noever
This research recasts ransomware detection using performance monitoring and statistical machine learning. The work builds a test environment with 41 input variables to label and co…