747 citations · 750 across the 4 of their papers we have counts for
5 papers
RaSeRec: Retrieval-Augmented Sequential Recommendation
Xinping Zhao, Baotian Hu, Yan Zhong +5
Although prevailing supervised and self-supervised learning augmented sequential recommendation (SeRec) models have achieved improved performance with powerful neural network archi…
Development and Evaluation Study of Intelligent Cockpit in the Age of Large Models
Jun Ma, Meng Wang, Jinhui Pang +9
The development of Artificial Intelligence (AI) Large Models has a great impact on the application development of automotive Intelligent cockpit. The fusion development of Intellig…
Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks
Yunfan Gao, Yun Xiong, Meng Wang +1
Retrieval-augmented Generation (RAG) has markedly enhanced the capabilities of Large Language Models (LLMs) in tackling knowledge-intensive tasks. The increasing demands of applica…
Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models
Huifang Du, Xuejing Feng, Jun Ma +5
Research demonstrates that the proactivity of in-vehicle conversational assistants (IVCAs) can help to reduce distractions and enhance driving safety, better meeting users' cogniti…
Retrieval-Augmented Generation for Large Language Models: A Survey
Yunfan Gao, Yun Xiong, Xinyu Gao +7
Large Language Models (LLMs) showcase impressive capabilities but encounter challenges like hallucination, outdated knowledge, and non-transparent, untraceable reasoning processes.…