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Found 6 papers, 1 papers with code
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation
EXIT has been successfully deployed in the online homepage recommendation system of Meituan App, serving the main traffic.
Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents
The recent rapid development of large language models (LLMs) has sparked a new wave of technological revolution in medical artificial intelligence (AI).
Reinforcement Learning Based Robust Volt/Var Control in Active Distribution Networks With Imprecisely Known Delay
Due to the fluctuation and intermittency of PV generation, the state gap, arising from time-inconsistent states and exacerbated by imprecisely known system delays, significantly impacts the accuracy of voltage control.
Citation-Enhanced Generation for LLM-based Chatbots
Note that our method is a training-free plug-and-play plugin that is capable of various LLMs.
Incipient Fault Detection in Power Distribution System: A Time-Frequency Embedded Deep Learning Based Approach
Incipient fault detection in power distribution systems is crucial to improve the reliability of the grid.
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain
Resistive-random-access-memory (ReRAM) based processing-in-memory (R$^2$PIM) accelerators show promise in bridging the gap between Internet of Thing devices' constrained resources and Convolutional/Deep Neural Networks' (CNNs/DNNs') prohibitive energy cost.
