most citedAn Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models

2 citations · 5 across the 5 of their papers we have counts for

collaborators

7 papers

cs.DB20242 cited

An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models

Mengzhao Wang, Haotian Wu, Xiangyu Ke +3

Retrieval-augmented Large Language Models (LLMs) have reshaped traditional query-answering systems, offering unparalleled user experiences. However, existing retrieval techniques o…

cs.DB2024

Real-Time Trajectory Synthesis with Local Differential Privacy

Yujia Hu, Yuntao Du, Zhikun Zhang +4

Trajectory streams are being generated from location-aware devices, such as smartphones and in-vehicle navigation systems. Due to the sensitive nature of the location data, directl…

cs.DB2024

GTS: GPU-based Tree Index for Fast Similarity Search

Yifan Zhu, Ruiyao Ma, Baihua Zheng +3

Similarity search, the task of identifying objects most similar to a given query object under a specific metric, has gathered significant attention due to its practical application…

cs.DC2024

Accelerating Biclique Counting on GPU

Linshan Qiu, Zhonggen Li, Xiangyu Ke +2

Counting (p,q)-bicliques in bipartite graphs poses a foundational challenge with broad applications, from densest subgraph discovery in algorithmic research to personalized content…

cs.DC20241 cited

GPU-Accelerated Batch-Dynamic Subgraph Matching

Linshan Qiu, Lu Chen, Hailiang Jie +4

Subgraph matching has garnered increasing attention for its diverse real-world applications. Given the dynamic nature of real-world graphs, addressing evolving scenarios without in…

cs.CL20242 cited

FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis

Chao Zhang, Yuren Mao, Yijiang Fan +5

Text-to-SQL, which provides zero-code interface for operating relational databases, has gained much attention in financial analysis; because, financial professionals may not well-s…