DeepSpeak provides over 100 hours of consented, identity-matched real and modern deepfake audiovisual content focused on talking heads, with evaluations showing existing detectors fail to generalize without retraining.
Robust speech recognition via large-scale weak supervision
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A survey that classifies non-intrusive ASR refinement methods into five categories, reviews domain adaptation and evaluation datasets, proposes standardized metrics, and identifies future research directions.
ROS-LLM integrates LLMs with ROS to let non-experts specify robot tasks in natural language, supporting sequence, behavior tree, and state machine modes plus imitation learning and reflection on feedback.
Chat Modeling is a multi-agent LLM framework with modeling memory and dynamic chat widgets that translates text inputs into interactive 3D modeling operations for literature-grounded biological structures.
citing papers explorer
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The DeepSpeak Dataset
DeepSpeak provides over 100 hours of consented, identity-matched real and modern deepfake audiovisual content focused on talking heads, with evaluations showing existing detectors fail to generalize without retraining.
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Non-Intrusive Automatic Speech Recognition Refinement: A Survey
A survey that classifies non-intrusive ASR refinement methods into five categories, reviews domain adaptation and evaluation datasets, proposes standardized metrics, and identifies future research directions.
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ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning
ROS-LLM integrates LLMs with ROS to let non-experts specify robot tasks in natural language, supporting sequence, behavior tree, and state machine modes plus imitation learning and reflection on feedback.
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Chat Modeling: Interaction-Enhanced Agent Framework for Visualizing Literature-Grounded Biological Structures
Chat Modeling is a multi-agent LLM framework with modeling memory and dynamic chat widgets that translates text inputs into interactive 3D modeling operations for literature-grounded biological structures.