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Found 7 papers, 3 papers with code
AI shares emotion with humans across languages and cultures
Effective and safe human-machine collaboration requires the regulated and meaningful exchange of emotions between humans and artificial intelligence (AI).
3D Deep-learning-based Segmentation of Human Skin Sweat Glands and Their 3D Morphological Response to Temperature Variations
Skin, the primary regulator of heat exchange, relies on sweat glands for thermoregulation.
Listening to Patients: A Framework of Detecting and Mitigating Patient Misreport for Medical Dialogue Generation
Experiments indicate that PaMis effectively enhances medical response generation, enabling models like GPT-4 to detect and mitigate patient misreports, and provide high-quality healthcare assistance.
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
Spiking neural networks (SNNs) are widely applied in various fields due to their energy-efficient and fast-inference capabilities.
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
Spiking Neural Networks (SNNs), which operate on an event-driven paradigm through sparse spike communication, emerge as a natural fit for addressing this challenge.
Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue
Accurate knowledge selection is critical in knowledge-grounded dialogue systems.
A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning
In recent years, spiking neural networks (SNNs) have been used in reinforcement learning (RL) due to their low power consumption and event-driven features.
