1 citations · 1 across the 2 of their papers we have counts for
9 papers
Can Language Models Learn to Listen?
Evonne Ng, Sanjay Subramanian, Dan Klein +3
We present a framework for generating appropriate facial responses from a listener in dyadic social interactions based on the speaker's words. Given an input transcription of the s…
Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale
A. Sophia Koepke, Daniil Zverev, Shiry Ginosar +1
The Platonic Representation Hypothesis suggests that neural networks trained on different modalities (e.g., text and images) align and eventually converge toward the same represent…
Frozen Forecasting: A Unified Evaluation
Jacob C Walker, Pedro Vélez, Luisa Polania Cabrera +7
Forecasting future events is a fundamental capability for general-purpose systems that plan or act across different levels of abstraction. Yet, evaluating whether a forecast is "co…
Empowerment Gain and Causal Model Construction: Children and adults are sensitive to controllability and variability in their causal interventions
Eunice Yiu, Kelsey Allen, Shiry Ginosar +1
Learning about the causal structure of the world is a fundamental problem for human cognition. Causal models and especially causal learning have proved to be difficult for large pr…
Forecasting Motion in the Wild
Neerja Thakkar, Shiry Ginosar, Jacob Walker +3
Visual intelligence requires anticipating the future behavior of agents, yet vision systems lack a general representation for motion and behavior. We propose dense point trajectori…
Pose Priors from Language Models
Sanjay Subramanian, Evonne Ng, Lea Müller +3
Language is often used to describe physical interaction, yet most 3D human pose estimation methods overlook this rich source of information. We bridge this gap by leveraging large…