8 citations · 13 across the 15 of their papers we have counts for
7 papers · 1 filter
Towards aligned body representations in vision models
Andrey Gizdov, Andrea Procopio, Yichen Li +2
Human physical reasoning relies on internal "body" representations - coarse, volumetric approximations that capture an object's extent and support intuitive predictions about motio…
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
Eric Bigelow, Daniel Wurgaft, YingQiao Wang +4
Large language models (LLMs) can be controlled at inference time through prompts (in-context learning) and internal activations (activation steering). Different accounts have been…
Chain of Time: In-Context Physical Simulation with Image Generation Models
YingQiao Wang, Eric Bigelow, Boyi Li +1
We propose a novel cognitively-inspired prompting method to stabilize and interpret the physical simulation produced by autoregressive image generation models, called Chain-of-Time…
Emergence of Hierarchical Emotion Organization in Large Language Models
Maya Okawa, Bo Zhao, Eric J. Bigelow +4
As large language models (LLMs) increasingly power conversational agents, understanding how they model users' emotional states is critical for ethical deployment. Inspired by emoti…
Cognitive models can reveal interpretable value trade-offs in language models
Sonia K. Murthy, Rosie Zhao, Jennifer Hu +4
Value trade-offs are an integral part of human decision-making and language use, however, current tools for interpreting such dynamic and multi-faceted notions of values in languag…
Re-evaluating Theory of Mind evaluation in large language models
Jennifer Hu, Felix Sosa, Tomer Ullman
The question of whether large language models (LLMs) possess Theory of Mind (ToM) -- often defined as the ability to reason about others' mental states -- has sparked significant s…
Shades of Zero: Distinguishing Impossibility from Inconceivability
Jennifer Hu, Felix Sosa, Tomer Ullman
Some things are impossible, but some things may be even more impossible than impossible. Levitating a feather using one's mind is impossible in our world, but fits into our intuiti…