79 citations · 160 across the 18 of their papers we have counts for
19 papers
Neuro-Symbolic Procedural Planning with Commonsense Prompting
Yujie Lu, Weixi Feng, Wanrong Zhu +4
Procedural planning aims to implement complex high-level goals by decomposition into sequential simpler low-level steps. Although procedural planning is a basic skill set for human…
Imagination-Augmented Natural Language Understanding
Yujie Lu, Wanrong Zhu, Xin Eric Wang +2
Human brains integrate linguistic and perceptual information simultaneously to understand natural language, and hold the critical ability to render imaginations. Such abilities ena…
A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise
Weimin Zhou, Miguel P. Eckstein
Humans process visual information with varying resolution (foveated visual system) and explore images by orienting through eye movements the high-resolution fovea to points of inte…
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation
Wanrong Zhu, Xin Eric Wang, An Yan +2
Automatic evaluations for natural language generation (NLG) conventionally rely on token-level or embedding-level comparisons with text references. This differs from human language…
FoveaTer: Foveated Transformer for Image Classification
Aditya Jonnalagadda, William Yang Wang, B. S. Manjunath +1
Many animals and humans process the visual field with a varying spatial resolution (foveated vision) and use peripheral processing to make eye movements and point the fovea to acqu…
Comparing Visual Reasoning in Humans and AI
Shravan Murlidaran, William Yang Wang, Miguel P. Eckstein
Recent advances in natural language processing and computer vision have led to AI models that interpret simple scenes at human levels. Yet, we do not have a complete understanding…