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Common sense reasoning for deepfake detection
State-of-the-art deepfake detection approaches rely on image-based features extracted via
neural networks. While these approaches trained in a supervised manner extract likely fake …
neural networks. While these approaches trained in a supervised manner extract likely fake …
Vision-and-language navigation today and tomorrow: A survey in the era of foundation models
Y Zhang, Z Ma, J Li, Y Qiao, Z Wang, J Chai… - ar** Language-Guided Navigation Learning with Self-Refining Data Flywheel
Creating high-quality data for training robust language-instructed agents is a long-lasting
challenge in embodied AI. In this paper, we introduce a Self-Refining Data Flywheel (SRDF) …
challenge in embodied AI. In this paper, we introduce a Self-Refining Data Flywheel (SRDF) …
To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation
Recent research in Vision Language Navigation (VLN) has overlooked the development of
agents' inquisitive abilities, which allow them to ask clarifying questions when instructions …
agents' inquisitive abilities, which allow them to ask clarifying questions when instructions …
Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding
This tutorial provides an overview of the cutting edge research on spatial and temporal
language understanding. We also cover some essential background material from various …
language understanding. We also cover some essential background material from various …