research note
This work addresses the challenge of recognizing Major Depressive Disorder (MDD) from EEG data by modeling the hierarchical structure of brain functional.
research note
This paper addresses active perception for referring image segmentation in continuous 360° panoramic environments, a key challenge in Embodied AI.
research note
This paper addresses the challenge of rising cross-partisan animosity in the U.S., which is fueled by avoidance of meaningful contact and systematic.
research note
This paper addresses the limitations of current text-driven 3D indoor scene synthesis methods that predominantly assume Manhattan environments with.
research note
This paper investigates a subtle yet pervasive condition in system security called the Trust Boundary Semantic Gap (TBSG).
research note
This paper addresses the critical challenge of data heterogeneity in distributed self-supervised learning (D-SSL), where decentralized clients hold.
research note
This paper investigates how large language model (LLM) agents behave in socially structured multi-agent settings where role, audience visibility, and.
research note
This paper investigates whether scaling large language models (LLMs) improves their fidelity in social simulation tasks, a promising but currently.
research note
WorldDirector addresses the challenge of synthesizing long-horizon, controllable video simulations with persistent dynamic object memory and viewpoint.
research note
WorldSample addresses the core bottleneck of real-robot reinforcement learning (RL): the high cost and limited coverage of physical rollouts which yield.
research note
This study addresses the question of how online users on Reddit respond to positive behavioral stimuli—specifically symbolic awards—delivered by apparent.
research note
This paper addresses the growing challenge of large language model (LLM) usage by participants completing online surveys on crowdsourcing platforms, which.
