Virtual Assistant
Virtual assistants (VAs) aim to provide natural language interfaces for various tasks, focusing on improving accuracy, efficiency, and user experience. Current research emphasizes developing more efficient and robust models, often leveraging large language models (LLMs) and incorporating multimodal data (audio and visual) to enhance understanding and response generation. This field is significant due to its broad applications across numerous domains, from customer service and mobile app automation to specialized areas like legal assistance and healthcare, impacting both user convenience and the efficiency of various industries.
Papers
Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model
Jiaxi Cui, Munan Ning, Zongjian Li, Bohua Chen, Yang Yan, Hao Li, Bin Ling, Yonghong Tian, Li Yuan
HIVA: Holographic Intellectual Voice Assistant
Ruslan Isaev, Radmir Gumerov, Gulzada Esenalieva, Remudin Reshid Mekuria, Ermek Doszhanov