2 citations · 5 across the 5 of their papers we have counts for
5 papers
Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning
Xingyu Tan, Xiaoyang Wang, Qing Liu +3
Large Language Models (LLMs) have achieved impressive results in various tasks but struggle with hallucination problems and lack of relevant knowledge, especially in deep complex r…
Simpler is More: Efficient Top-K Nearest Neighbors Search on Large Road Networks
Yiqi Wang, Long Yuan, Wenjie Zhang +3
Top-k Nearest Neighbors (kNN) problem on road network has numerous applications on location-based services. As direct search using the Dijkstra's algorithm results in a large searc…
Transaction Fee Estimation in the Bitcoin System
Limeng Zhang, Rui Zhou, Qing Liu +2
In the Bitcoin system, transaction fees serve as an incentive for blockchain confirmations. In general, a transaction with a higher fee is likely to be included in the next block m…
Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022)
Qing Liu, Wenli Yang, Shiqing Wu
Over the past two decades, PKAW has provided a forum for researchers and practitioners to discuss the state-of-the-arts in the area of knowledge acquisition and machine intelligenc…
A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing
Yi Yang, Zhong-Qiu Zhao, Quan Bai +2
Due to the noises in crowdsourced labels, label aggregation (LA) has emerged as a standard procedure to post-process crowdsourced labels. LA methods estimate true labels from crowd…