The best game in town: The reemergence of the language-of-thought hypothesis across the cognitive sciences
Mental representations remain the central posits of psychology after many decades of
scrutiny. However, there is no consensus about the representational format (s) of biological …
scrutiny. However, there is no consensus about the representational format (s) of biological …
Dall-e-bot: Introducing web-scale diffusion models to robotics
We introduce the first work to explore web-scale diffusion models for robotics. DALL-E-Bot
enables a robot to rearrange objects in a scene, by first inferring a text description of those …
enables a robot to rearrange objects in a scene, by first inferring a text description of those …
Consciousness in artificial intelligence: insights from the science of consciousness
Whether current or near-term AI systems could be conscious is a topic of scientific interest
and increasing public concern. This report argues for, and exemplifies, a rigorous and …
and increasing public concern. This report argues for, and exemplifies, a rigorous and …
Docci: Descriptions of connected and contrasting images
Vision-language datasets are vital for both text-to-image (T2I) and image-to-text (I2T)
research. However, current datasets lack descriptions with fine-grained detail that would …
research. However, current datasets lack descriptions with fine-grained detail that would …
From word models to world models: Translating from natural language to the probabilistic language of thought
How does language inform our downstream thinking? In particular, how do humans make
meaning from language--and how can we leverage a theory of linguistic meaning to build …
meaning from language--and how can we leverage a theory of linguistic meaning to build …
No" zero-shot" without exponential data: Pretraining concept frequency determines multimodal model performance
Web-crawled pretraining datasets underlie the impressive" zero-shot" evaluation
performance of multimodal models, such as CLIP for classification and Stable-Diffusion for …
performance of multimodal models, such as CLIP for classification and Stable-Diffusion for …