SceneActBench: Can Agents Act on the 3D Scenes They See?
SceneActBench: Can Agents Act on the 3D Scenes They See? Vision-language model (VLM) agents are increasingly being used to interact with 3D environments rath...
SceneActBench: Can Agents Act on the 3D Scenes They See? Vision-language model (VLM) agents are increasingly being used to interact with 3D environments rath...
Basketball is a fast-paced sport where ten players move simultaneously, making it difficult for AI to understand exactly what is happening on the court.
Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls Graph Neural Networks (GNNs) are powerful tools for analyzing complex da...
Multimodal Pretraining for Generalizable EEG Representation Learning This research introduces a new foundation model designed to improve how we detect and an...
Detecting LLM-Generated Tokens in Human--LLM Coauthored Text As human-AI collaboration becomes common, documents often contain a mix of human-written and mac...
As pathogen genomic surveillance becomes increasingly vital for public health, the primary challenge has shifted from generating data to analyzing it effecti...
Associative Emotional Learning in Convolutional Neural Networks This research explores how deep neural networks can be used to model the way organisms learn...
PAMD: Structured Adaptive Distances for Bisimulation Representations in Visual Reinforcement Learning Visual reinforcement learning (RL) often relies on "bis...
Do Maps Still Matter for Machines: Revisiting the Role of Choropleth Maps in Foundation Model Spatial Understanding This research investigates whether tradit...
Contextualized Early Detection of Online Firestorms: A Sequential LLM-Based Approach Online firestorms—rapid, intense waves of negative social media content—...