no code implementations • 8 Oct 2024 • Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling
To address these issues, we propose the chain-of-verification (CoV-RAG) to enhance the external retrieval correctness and internal generation consistency.
2 code implementations • 5 Jun 2024 • Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic
In our work, we introduce an argument mining dataset that captures the end-to-end process of preparing an argumentative essay for a debate, which covers the tasks of claim and evidence identification (Task 1 ED), evidence convincingness ranking (Task 2 ECR), argumentative essay summarisation and human preference ranking (Task 3 ASR) and metric learning for automated evaluation of resulting essays, based on human feedback along argument quality dimensions (Task 4 SQE).
no code implementations • 8 Aug 2020 • Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
Users influential in the propagation of true and fake contents are identified using the inferred diffusion dynamics.
1 code implementation • 29 May 2018 • Palash Goyal, Nitin Kamra, Xinran He, Yan Liu
The major advantages of DynGEM include: (1) the embedding is stable over time, (2) it can handle growing dynamic graphs, and (3) it has better running time than using static embedding methods on each snapshot of a dynamic graph.
Social and Information Networks
3 code implementations • 19 Jan 2018 • Yu Shi, Fangqiu Han, Xinwei He, Xinran He, Carl Yang, Jie Luo, Jiawei Han
With experiments on a series of synthetic datasets, a large-scale internal Snapchat dataset, and two public datasets, we confirm the validity and importance of preservation and collaboration as two objectives for multi-view network embedding.
no code implementations • NeurIPS 2016 • Xinran He, Ke Xu, David Kempe, Yan Liu
We establish both proper and improper PAC learnability of influence functions under randomly missing observations.
no code implementations • 7 May 2015 • Bharath Sankaran, Marjan Ghazvininejad, Xinran He, David Kale, Liron Cohen
Set functions, and specifically submodular set functions, characterize a wide variety of naturally occurring optimization problems, and the property of submodularity of set functions has deep theoretical consequences with wide ranging applications.
no code implementations • 23 Oct 2014 • Dehua Cheng, Xinran He, Yan Liu
Topic models have achieved significant successes in analyzing large-scale text corpus.
no code implementations • 7 Oct 2014 • QI, Yu, Xinran He, Yan Liu
Existing group anomaly detection approaches rely on the assumption that the groups are known, which can hardly be true in real world social media applications.