most citedBridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2023

CoVOR-SLAM: Cooperative SLAM using Visual Odometry and Ranges for Multi-Robot Systems

Young-Hee Lee, Chen Zhu, Thomas Wiedemann +3

A swarm of robots has advantages over a single robot, since it can explore larger areas much faster and is more robust to single-point failures. Accurate relative positioning is ne…

eess.SP2023

Vertiport Navigation Requirements and Multisensor Architecture Considerations for Urban Air Mobility

Omar Garcia Crespillo, Chen Zhu, Maximilian Simonetti +3

Communication, Navigation and Surveillance (CNS) technologies are key enablers for future safe operation of drones in urban environments. However, the design of navigation technolo…

cs.IR20232 cited

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation

Wenxuan Zhang, Hongzhi Liu, Yingpeng Du +4

Generative large language models(LLMs) are proficient in solving general problems but often struggle to handle domain-specific tasks. This is because most of domain-specific tasks,…

cs.MM2023

Social Context-aware GCN for Video Character Search via Scene-prior Enhancement

Wenjun Peng, Weidong He, Derong Xu +3

With the increasing demand for intelligent services of online video platforms, video character search task has attracted wide attention to support downstream applications like fine…

cs.AI20231 cited

How Many Demonstrations Do You Need for In-context Learning?

Jiuhai Chen, Lichang Chen, Chen Zhu +1

Large language models (LLMs) are capable to perform complex reasoning by in-context learning (ICL) when provided with a few input-output demonstrations (demos) and more powerful wh…

cs.IT2016

Experimental demonstration of Layered/Enhanced ACO-OFDM in short haul optical fiber transmission link

Binhuang Song, Chen Zhu, Bill Corcoran +3

Asymmetrically clipped optical orthogonal frequency division multiplexing (ACO-OFDM) is theoretically more power efficient but less spectrally efficient than DC-bias OFDM (DCO-OFDM…